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Free Download Udemy - Go-To-Market Made Easy Published 5/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 3.70 GB | Duration: 3h 52m Your Roadmap to Customer Acquisition What you'll learn New startup founders Business owners looking to launch new products Product manager Marketing professionals Requirements No experience required. Description You are competing with 30,000 new products that enter the marketplace every year.Nearly ALL of them, about 95%, will fail, according to Clayton Christensen, a well-respected Harvard professor. The reason that so many new ventures fail is simple - the go-to-market (GTM) strategy failed. Every other reason, a lack of funding, cash-flow problems, and other reasons, comes back to a lack of ability to find and win the right customers. Think about it. You don't have cash-flow problems if your product is selling well. You can self-fund, or bootstrap, the growth of your business if your product is selling well, or at least most business models can. But, that isn't the reality for nearly every new product. Where they go wrong is the founder(s) have a good idea and they charge forward without a go-to-market strategy, so they:Don't understand their target market(s) at an intimate level.Don't know what pricing strategies work best for their target market(s).Skip over performing market research that allows them to carve out their own niche.Spend too much energy, money, and time on the early versions of their product.Those mistakes are exactly what I'm going to help you avoid.Here's what I'm not going to do:I won't go deep into tactics. Why? Because tactics are specific to a bunch of variables. Ex. your industry, the number and size of your competitors, how much energy, money, and time you can invest into your product's go-to-market activities, and more. But, the information I give you will help you develop your own tactics.I can't save a bad business model. If your product is not well researched or poorly designed, customers will eventually take their business elsewhere. If you are starting a new business or need to dial in your go-to-market strategies for an existing business, this information is for you.This course includes:- a 21,000 word companion eBook/guide covering the information- a template for competitor research- a template for customer researchThis course has the same video lessons as offered on my personal website, but here it does not include:- My AI as your Chief Marketing Officer guide (how to use generative AI prompts to run your Marketing)- My Go-to-Market Validation Guide (how to validate new product ideas)- My Product Launch Checklist template- My User Persona template- My Business Plan template Overview Section 1: Introduction Lecture 1 Introduction to the course Lecture 2 Introduction the instructor Lecture 3 Handout: Written material (have handy for all lessons) Section 2: Introduction & Market Validation Lecture 4 The Bookends of Product Management Lecture 5 Understanding Market Fit phases Lecture 6 The Importance of Go-to-Market Strategies Lecture 7 Customer Research Methodologies Lecture 8 Trends and competitor analysis Lecture 9 Ways to validate product demand Section 3: Building Your Brand Identity Lecture 10 Defining brand vision, mission, and values Lecture 11 Crafting a compelling brand story Lecture 12 Developing a visual identity Lecture 13 Building a consistent brand voice Section 4: Product Development & Marketing Strategy Lecture 14 Product development roadmap: MVP to Market FIt Lecture 15 Developing a marketing funnel and customer journey mapping Lecture 16 Identifying key marketing channels Lecture 17 Creating a content calendar for pre-launch buzz Section 5: Pricing & Sales Strategies Lecture 18 Cost analysis and pricing models Lecture 19 How to attract early adopters Lecture 20 Building a compelling sales pitch Section 6: Pre-launch and building hype Lecture 21 Building Pre-Launch Hype Lecture 22 Mastering PR Outreach Section 7: Launch & Measurement Lecture 23 Launch Day Strategies Lecture 24 Tracking Success on Launch Day Lecture 25 Customer Acquisition & Growth Hacking Section 8: The Road Ahead Lecture 26 Exit Strategies Lecture 27 Key Takeaways Lecture 28 That's a wrap ? 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Free Download Udemy - Global Logistics Shipping, Freight, & Supply Chain Published 5/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 595.89 MB | Duration: 1h 7m International Logistics: Strategy, Planning, Execution, Fast Track, and Supply Chain Strategy for Managers. What you'll learn Understand the fundamentals of global logistics and supply chain management Learn how international shipping, freight forwarding, and transportation work Explore key logistics terms such as Incoterms, lead times, and customs procedures Gain insights into import/export documentation and trade compliance Analyze the roles of logistics providers, carriers, and customs brokers Learn how to select the best transportation modes for global shipments Understand warehousing, inventory flow, and distribution in a global context Discover risk management strategies for delays, disruptions, and global challenges Apply global logistics concepts to real-world business scenarios Requirements Willingness to Learn Description CRITICAL NOTICE Prior to Enrollment:This course does not serve as a substitute for official vendor materials necessary for certification exams. It lacks endorsement from the certification vendor, and participants will not receive official certification study materials or a voucher as part of this course.In today's interconnected world, the movement of goods across borders is more critical-and more complex-than ever. This comprehensive course on Global Logistics is designed to give you a solid foundation in the principles, practices, and strategies behind the efficient flow of goods around the world. Whether you're new to the logistics field or looking to deepen your understanding of international operations, this course provides the insights and practical knowledge you need to succeed in global supply chain management.You'll explore the full lifecycle of global logistics, from sourcing and procurement to warehousing, transportation, customs clearance, and final delivery. We'll cover essential topics such as freight forwarding, Incoterms, trade compliance, documentation, risk management, and logistics technology. You'll also gain a clear understanding of the roles played by various stakeholders, including shippers, carriers, freight forwarders, and customs brokers.Through real-world examples and clear explanations, this course breaks down complex logistics concepts into actionable knowledge. You'll learn how global supply chains are structured and optimized, how to select the right transportation modes, how to mitigate delays and disruptions, and how digital transformation is shaping the future of logistics.Whether you're a business owner managing international shipments, a logistics professional seeking career growth, or a student preparing to enter the supply chain industry, this course will equip you with the tools and confidence to navigate the global logistics landscape. By the end of the course, you'll be able to make informed decisions, reduce costs, and improve the efficiency and reliability of international logistics operations.Join me and take the first step toward becoming a global logistics expert. No prior experience is required-just a curiosity about how the world of global trade really works.Thank you Overview Section 1: MODULE 1 Lecture 1 THE DEVELOPMENT OF GLOBAL LOGISTICS Lecture 2 DIFFERENCE IN CULTURE Lecture 3 SECURITY Lecture 4 ENVIRONMENTAL FRIENDLY Section 2: MODULE 2 Lecture 5 MODES Lecture 6 SHIPPING CONFERENCES Lecture 7 CONTAINERS Lecture 8 INBOUNDS Lecture 9 DOCUMENTS Section 3: MODULE 3 Lecture 10 INCOTERMS Lecture 11 INCOTERMS FUNCTION Lecture 12 EX WORKS ND FCA Lecture 13 CPT AND CIP Lecture 14 DAP DPU AND DDPS Lecture 15 M TERMS Lecture 16 INCOTERMS CLASSIFICATION Section 4: MODULE 4 Lecture 17 OUT SOURCE Lecture 18 FREIGHT FORWARDER Lecture 19 FREIGHT CONSOLIDATOR Lecture 20 NVOCCs Lecture 21 EMC Lecture 22 PACKING Lecture 23 CUSTOM BROKER Lecture 24 OUTSOURCE Section 5: MODULE 5 Lecture 25 INVENTORY Lecture 26 DISTRIBUTION CENTRE Lecture 27 SUPPLY CHAIN Lecture 28 PACKAGING Lecture 29 REVERSE LOGISTICS Lecture 30 RISKS Business professionals involved in supply chain, shipping, or international trade,Students or graduates seeking a career in logistics or global supply chain management,Entrepreneurs and small business owners who import or export goods,Logistics coordinators, freight forwarders, or customs brokers looking to enhance their skills,Anyone curious about how products move across countries and want to understand global logistics Homepage https://www.udemy.com/course/global-logistics-shipping-freight-supply-chain/ Rapidgator Links Download https://rg.to/file/fd4c8672d1173fd2bd18fac34cd22b4b/spjsb.Global.Logistics.Shipping.Freight..Supply.Chain.rar.html Fikper Links Download https://fikper.com/yqDV3ccuBg/spjsb.Global.Logistics.Shipping.Freight..Supply.Chain.rar.html No Password - Links are Interchangeable

Free Download Udemy - Git & GitHub - Zero to Hero Published 5/2025 Created by geek geunbon MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Beginner | Genre: eLearning | Language: English | Duration: 42 Lectures ( 6h 27m ) | Size: 1.1 GB From Confusion to Confidence. What you'll learn Learn the basic Git commands and understand how Git works through visual explanations. Master the principles behind conflicts and learn to resolve any conflict with ease Learn how to respond perfectly to real-world Git situations. Learn how to collaborate effectively with teammates using GitHub. Understand not only how to collaborate with Git Flow, but also why it's necessary. Requirements You don't need any prior knowledge to take this course - it's designed for complete beginners. Description Git vs GitHub?GitGit is a program that manages the version history of your code.Think of it like creating SAVE points in a video game - with Git, you can create SAVE points in your code and return to them whenever needed.On top of that, Git's powerful feature called "branches" allows multiple teammates to work on the same project at the same time without conflict.GitHubFirst, let's be clear: Git and GitHub are completely different things.Just like baseball and soccer are different sports, Git and GitHub are not the same.Git is a tool for managing versions, while GitHub is a platform where those versions can be stored.That's why people often compare GitHub to Google Drive or Dropbox - it's a remote storage space for your code.Learn Git & GitHub the Right Way, All at OnceEveryone agrees Git is essential - no matter what you build, you'll likely use Git.That's why it's important to truly understand how Git works.If you just memorize commands without understanding the core principles, you'll eventually end up lost, scrolling through blogs trying to fix issues.Learn Git from the ground up - not just the basics, but the underlying principles too.We confidently say: after completing this course, you'll be able to resolve 99% of Git errors on your own. Who this course is for Someone who is new to Git and wants to learn it properly in one go without wasting time jumping between YouTube videos and blog posts. Someone who has learned Git at least once but still doesn't fully understand the core concepts. Homepage https://www.udemy.com/course/git-github-zero-to-hero/ AusFile https://ausfile.com/e7i6uiwy2qv9/lltmx.Git..GitHub..Zero.to.Hero.part1.rar.html https://ausfile.com/po4z6lmc8og0/lltmx.Git..GitHub..Zero.to.Hero.part2.rar.html Rapidgator Links Download https://rg.to/file/31a3a382e103ab26afecd71e5adc4862/lltmx.Git..GitHub..Zero.to.Hero.part2.rar.html https://rg.to/file/f066d993bee193d15c4247864b16331c/lltmx.Git..GitHub..Zero.to.Hero.part1.rar.html Fikper Links Download https://fikper.com/PEB9KODyXZ/lltmx.Git..GitHub..Zero.to.Hero.part2.rar.html https://fikper.com/WrwCUIeGx5/lltmx.Git..GitHub..Zero.to.Hero.part1.rar.html No Password - Links are Interchangeable

Free Download Udemy - Get Your RV Ready to Rent in 24 Hours or Less! Published 5/2025 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 1h 30m | Size: 1.08 GB 10 Lessons to Fuel Your RV Rental Business! Imagine getting 15 years of experience in only 2.5 hours! What you'll learn How to Get Your RV Listed to Rent Best Title & Descriptions Photography & Video that sells Best Pricing Strategies to make the most money Templates to help automate tasks Rules for your RV so it doesn't get destroyed The Best Forms & Documents available to be successful Commercial RV Insurance What should you supply the RV with Requirements You should already own an RV. If you don't you should reach out and setup a free call with me. Description Unlock the potential of your RV and turn it into a profitable rental asset with our comprehensive course, "Get Your RV Ready to Rent in 24 Hours or Less!" Whether you're a seasoned RV owner or a complete beginner, this course is designed to guide you through every essential step needed to start earning money quickly and efficiently.Over the course of ten engaging modules, you will learn how to effectively list your RV on multiple rental platforms, craft compelling titles and descriptions that captivate potential renters, and capture stunning photography and video to showcase your RV's unique features. Discover pricing strategies that maximize your profits, and gain access to ready-to-use templates that streamline your rental process.We'll help you establish clear rental rules to protect your investment and ensure a smooth experience for both you and your renters. Preparation is key, so you'll also master the cleaning techniques necessary to make your RV shine. Understand the different insurance options available, providing you with the confidence to rent out your RV without worries. Finally, we'll teach you how to stock your RV with essential supplies that enhance the comfort and satisfaction of your renters.By the end of this course, you will have all the knowledge and tools needed to get your RV ready for rent in just 24 hours, allowing you to start generating income whilst providing travelers with unforgettable experiences on the road. Don't let your RV sit unused-enroll today and transform your asset into a revenue-generating adventure! Who this course is for This is an introduction course to renting your RV. But even if you have been doing this for a season, you will still benefit from this course. RV Owners Homepage https://www.udemy.com/course/get-your-rv-ready-to-rent-in-24-hours-or-less/ Rapidgator Links Download https://rg.to/file/319d6c343b817d7a7df653cbf37a176c/elyhg.Get.Your.RV.Ready.to.Rent.in.24.Hours.or.Less.part1.rar.html https://rg.to/file/a33139e7cb7c8f2902ac392681017dee/elyhg.Get.Your.RV.Ready.to.Rent.in.24.Hours.or.Less.part2.rar.html Fikper Links Download https://fikper.com/hUzWDA8qjJ/elyhg.Get.Your.RV.Ready.to.Rent.in.24.Hours.or.Less.part2.rar.html https://fikper.com/xcPZZrbogA/elyhg.Get.Your.RV.Ready.to.Rent.in.24.Hours.or.Less.part1.rar.html No Password - Links are Interchangeable

Free Download Udemy - Get Clients On Linkedin & X Using Ai - [B2B Lead Generation] Published 5/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 744.24 MB | Duration: 2h 0m Grow LinkedIn and Twitter (X) audience, engage prospects with AI, automate lead generation, and land clients in 2025 What you'll learn How to set clear growth goals for LinkedIn and Twitter (X) How to optimize your profiles to attract clients organically How to set up AI-powered commenting and engagement workflows How to target the right creators, keywords, and audiences How to build an audience of ideal prospects automatically How to create a balanced strategy between automation and authenticity How to track your engagement, optimize your strategies, and scale up How to avoid spammy automation mistakes and stay compliant How to generate leads and conversations without cold messaging Requirements No prior experience with automation or AI tools is needed. A basic understanding of LinkedIn and Twitter (X) platforms is helpful. You should have an active LinkedIn and Twitter (X) account. A laptop or desktop with internet access is required. Willingness to test, tweak, and apply what you learn. A mindset focused on ethical growth, not spammy shortcuts. Description If you are tired of spending countless hours trying to grow your LinkedIn and Twitter (X) presence manually, only to see little to no real results?Maybe you're posting content, commenting, and sending connection requests - but not attracting the right clients or opportunities?If you're a freelancer, consultant, gig worker, coach, or professional looking to automate your growth, expand your network, and land high-paying clients without wasting hours every day, this course is built for you.In Get Clients on LinkedIn & X Using AI[Automation Blueprint], you'll learn a practical, step-by-step system to automate your engagement, connect with the right audience, and build real authority using AI-powered tools - specifically PowerIn.- No complicated tech setups.- No fake engagement tactics.- No need to post daily or spam people with cold DMs.Instead, you'll discover how to use AI to naturally engage with your ideal audience, position yourself as a trusted expert, and open doors to real business opportunities - all while spending as little as 15-30 minutes a day.What You Will Learn:How to set clear growth goals for LinkedIn and Twitter (X)How to optimize your profiles to attract clients organicallyHow to set up AI-powered commenting and engagement workflowsHow to target the right creators, keywords, and audiencesHow to build an audience of ideal prospects automaticallyHow to create a balanced strategy between automation and authenticityHow to track your engagement, optimize your strategies, and scale upHow to avoid spammy automation mistakes and stay compliantHow to generate leads and conversations without cold messagingWhy This Course Is Different:This isn't just a "how to use a tool" tutorial.This course is a complete client acquisition blueprint for LinkedIn and Twitter (X) users who want real, sustainable growth. You'll not only master how to use PowerIn for smart AI engagement but also how to position yourself properly so that when new people find you, they immediately recognize your value.Many professionals miss this critical piece: It's not just about getting views and likes - it's about turning attention into real conversations, opportunities, and clients.Whether you're starting from scratch or already have some presence, this course will show you how to put your growth on autopilot while maintaining the personal touch that matters in real professional networking.Who This Course Is For:Freelancers and gig workers who want to attract more clientsCoaches, consultants, and service providers growing their brandBusy professionals who want to automate their LinkedIn and X networkingSolopreneurs looking to build authority without posting dailyAnyone interested in growing their audience and opportunities using AI toolsYou don't need any technical skills or previous automation experience.Everything will be explained in a simple, actionable way - focused on results, not theory.Why You Should Enroll Now:If you want to stay competitive in 2025 and beyond, you need to embrace smarter ways to grow. AI and automation are not the future - they are already reshaping how successful professionals network, build trust, and close deals.By the end of this course, you will have a complete, working system that can help you:Build a magnetic online presence on LinkedIn and TwitterAttract ideal clients, partners, and opportunitiesSave hundreds of hours you would otherwise waste on manual engagementAutomate the tedious parts while keeping your authentic voice front and centerFinally feel confident in your professional growth strategyIf you're serious about getting more out of LinkedIn and X - without burning out or spamming people - this course will show you exactly how to do it.Let's start building your AI-powered growth engine today.Enroll now, and I'll see you inside the course. Overview Section 1: Introduction Lecture 1 Introduction Lecture 2 Tools We'll Be Using Lecture 3 Who This Course Is For Lecture 4 Course Expectations Section 2: Getting Started Lecture 5 What's Inside? Lecture 6 Define your Growth Objective: Clients, Leads, or Authority? Lecture 7 Optimize your Twitter (x) & LinkedIn Profiles Lecture 8 Build a Professional Authority/Identity Section 3: Setting up Playground Lecture 9 What's Inside? Lecture 10 How AI-Powered Commenting Works? Lecture 11 Signup & Connect Linkedin & Twitter (x) Accounts Lecture 12 Dashboard Overview (Workspaces, Users, and Channels) Lecture 13 Finding Creators & Keywords for Twitter (x) Lecture 14 Finding Creators & Keywords for LinkedIn Section 4: Comment Automation Lecture 15 What's Inside? Lecture 16 Comment Tone Personalization Lecture 17 Auto Comment when Creator Post Content Lecture 18 Automatically Comment on Posts with specific Keywords Section 5: Sell AI Comment Automation Services Lecture 19 What's Inside? Lecture 20 Comment Automation Business Model Lecture 21 Send 10k+ Cold Emails Per Day Lecture 22 Find Clients using Linkedin/Twitter/Instagram Lecture 23 Find Clients using Google Maps Lecture 24 Find Clients using Google Search Section 6: Thank you + Conclusions Lecture 25 Thank you + Conclusions Freelancers who want to grow their LinkedIn and Twitter (X) presence to attract high-paying clients.,Consultants, coaches, and service providers looking to automate professional networking and build authority online.,Gig workers and solopreneurs who need a smarter system to generate leads without spending hours manually engaging.,Busy professionals who want to expand their LinkedIn and X audience while saving time through AI-powered automation.,Anyone interested in learning how to use AI tools ethically to boost online engagement, visibility, and client acquisition.,Beginners to intermediate users of LinkedIn and Twitter who want practical, easy-to-apply strategies for sustainable growth. 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Free Download Udemy - German - Software Developer - It Conversations - Part 1 Published 5/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 4.65 GB | Duration: 3h 54m Learn workplace German through real conversations: onboarding, debugging, APIs, meetings, deployments, deadlines. What you'll learn Learn to introduce yourself and communicate confidently in a German-speaking workplace. Master key German phrases for coding practices like Git version control, code reviews, and debugging. Understand how to collaborate effectively with teams using Slack, Teams, and during deployments - all in German. Develop the skills to discuss project requirements, manage deadlines, and handle stress professionally in German. Requirements Learners should have at least a B1 (intermediate) level of German. Interest in improving spoken German for professional environments. Access to a device to listen to audio (phone, tablet, or computer). Basic understanding of workplace vocabulary or willingness to learn it. Description Master workplace German for IT projects through real-world conversations!Are you a developer aiming to work in Germany, Austria, or Switzerland?This course is designed specifically for software developers who want to improve their professional German skills through realistic dialogues.You'll follow Matilda and Charlie as they tackle daily tasks in a tech company: onboarding, debugging code, collaborating with teams, solving deployment issues, managing deadlines, and more - all while speaking practical, natural German.Instead of dry grammar drills, you'll learn real phrases you can immediately apply in meetings, chats, and technical discussions. In this course, you will:Build confidence speaking German in IT and software development environmentsMaster technical topics like Git, APIs, deployments, and debugging - in GermanCommunicate clearly with project managers, QA teams, and coworkersLearn how to handle workplace conversations, prioritize tasks, and deal with deadlinesEach lesson focuses on a specific workplace situation: Introduction to the Workplace (Onboarding)Learn how to introduce yourself professionally, describe your role, understand team structures, and talk about company culture - essential skills for your first day at a German-speaking company. Version Control with GitMaster everyday German phrases for cloning repositories, committing changes, pushing updates, merging branches, and resolving conflicts while collaborating with your team. Code Review and FeedbackGain the language needed to give and receive constructive code feedback, explain improvements, and professionally discuss code quality. Building and Compiling in C#Talk confidently about setting up projects, troubleshooting build errors, resolving missing dependencies, and working through technical setup challenges.Debugging CodeUse German effectively when reporting bugs, discussing error logs, using debugging tools, and coordinating fixes with QA teams. Team Collaboration via Slack/TeamsHandle workplace chat communication professionally: update teammates, manage urgent issues, coordinate across departments, and plan meetings via messaging platforms. Handling Deployment IssuesLearn how to talk about deployment environments, troubleshoot failed deployments, identify configuration problems, and propose improvements to processes. Work with APIsSpeak fluently about making API requests, handling different server responses, solving integration issues, and managing common errors like 400 and 500 status codes. Meeting with the Product OwnerNegotiate project requirements, timelines, and feature priorities in German - and navigate stakeholder conversations with clarity and professionalism. Managing Time and DeadlinesPrioritize tasks, manage workloads, handle delays, and discuss strategies for meeting tight deadlines - while maintaining clear communication with your team.This course is ideal if you already have a B1 or higher level of German and want to boost your skills for better career opportunities and higher salaries in German-speaking countries.Start today and get closer to your dream tech job in Germany, Austria, or Switzerland! Overview Section 1: Introduction Lecture 1 Introduction Lecture 2 Introduction to the Workplace (Onboarding) Lecture 3 Version Control with Git Lecture 4 Code Review and Feedback Lecture 5 Building and Compiling in C# Lecture 6 Debugging Code Lecture 7 Team Collaboration via Slack/Teams Lecture 8 Handling Deployment Issues Lecture 9 Work with APIs Lecture 10 Meeting with the Product Owner Lecture 11 Managing Time and Deadlines Developers who want to work in Germany, Austria, or Switzerland and increase their chances of getting better-paying jobs.,Intermediate German learners (B1+) who want to improve their professional communication for the workplace.,Aspiring or current IT professionals preparing for interviews, onboarding, and daily communication in German-speaking companies.,Learners who prefer practical, real-world conversations over traditional grammar lessons. 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Free Download Udemy - Geothermal Energy Masterclass Clean Power Explained Published 5/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 2.60 GB | Duration: 4h 6m Master geothermal energy from exploration to power plants, drilling, heat pumps & EGS-Renewable energy unlocked What you'll learn Explain geothermal energy concepts, global adoption, and its benefits and limitations. Identify geothermal gradients and geological features to locate viable sites. Apply geophysical and geochemical techniques for geothermal resource exploration. Classify geothermal fields using mapping tools and exploration data. Compare dry steam, flash steam, binary cycle, and hybrid plant technologies. Match geothermal resources to the most suitable plant design and configuration. Describe drilling methods, well design, casing, cementing, and safety practices. Analyze geothermal reservoir behavior, production strategies, and sustainability measures. Design and evaluate geothermal heat pump systems for homes and businesses. Apply best practices for system sizing, operation, and maintenance of heat pumps. Requirements No prior geothermal experience needed-this course starts from first principles. General interest in energy, engineering, or environmental systems is helpful. Internet access to view lessons and download worksheets, charts, and tools. Description Unlock one of the most powerful, renewable, and underutilized energy sources on Earth-geothermal. Learn how it's discovered, developed, and delivered, even if you're a complete beginner.Whether you're an engineer, energy project manager, student, environmentalist, or simply passionate about sustainability, this step-by-step course will give you a comprehensive understanding of geothermal energy systems-from exploration and drilling to power generation and heat pump applications.This course is designed to take you from foundational concepts to practical applications, career-relevant knowledge, and real-world insights. You'll not only understand how geothermal systems work-you'll be able to evaluate projects, assess sites, choose the right technology, and speak the language of geothermal professionals.What You'll LearnThe science behind geothermal heat, energy flow, and global deploymentExploration methods: geophysics, geochemistry, mapping, and classificationTypes of geothermal power plants and how they match different resource typesDrilling processes, well construction, casing, cementing, and site safetyHow geothermal reservoirs are managed for long-term productionEnhanced Geothermal Systems (EGS) and advanced recovery techniquesResidential and industrial applications of geothermal heat pumpsWhy This Course Matters for Your CareerGlobal demand for renewable energy is rising fast-and geothermal is now seeing multi-billion-dollar investments from governments, tech giants, and energy companies. Countries like Kenya, Iceland, Indonesia, and the U.S. are rapidly expanding geothermal capacity.The International Renewable Energy Agency (IRENA) forecasts over 1,000% growth in geothermal energy by 2050.Geothermal engineers and specialists earn salaries between $70,000-$140,000+ depending on location and role.The global geothermal market is expected to surpass $90 billion by 2030.By the end of this course, you'll have a project-ready understanding of geothermal systems-and be prepared for roles in engineering, consulting, energy development, or clean tech innovation.Course StructureThis course includes 6 sections, 35+ lessons, downloadable worksheets, quizzes, and assignments to reinforce learning:Introduction to Geothermal EnergyUnderstand geothermal fundamentals, benefits, limitations, and global trends.Geothermal Resource ExplorationLearn how geothermal fields are discovered using gradients, geophysical tools, and geochemical data.Types of Geothermal Power PlantsCompare dry steam, flash, binary, and hybrid systems-and know which is best for each resource.Drilling and Well ConstructionGet inside geothermal drilling: methods, casing, cementing, environmental concerns, and safety.Reservoir Management and ProductionExplore reinjection, long-term sustainability, EGS, and scaling mitigation.Geothermal Heat Pumps and Direct UseLearn how residential and industrial heat pump systems are designed, installed, and maintained.Each section includes downloads, quizzes, and assignments to ensure you can apply what you learn. Overview Section 1: Introduction to Geothermal Energy Lecture 1 Welcome & What You'll Learn Lecture 2 What is Geothermal Energy? Lecture 3 Benefits and Limitations Lecture 4 Global Geothermal Deployment Section 2: Geothermal Resource Exploration Lecture 5 Geothermal Gradient and Heat Flow Lecture 6 Geological Features and Surface Clues Lecture 7 Geophysical Survey Techniques Lecture 8 Geochemical Exploration Lecture 9 Mapping and Resource Classification Section 3: Types of Geothermal Power Plants Lecture 10 Power Plant Overview Lecture 11 Dry Steam Technology Lecture 12 Flash Steam Systems Lecture 13 Binary Cycle Plants Lecture 14 Direct Use Applications Lecture 15 Hybrid & Emerging Systems Section 4: Drilling and Well Construction Lecture 16 Site Selection and Permitting Lecture 17 Drilling Methods & Equipment Lecture 18 Well Design and Construction Lecture 19 Casing, Cementing, and Logging Lecture 20 HSE and Environmental Concerns Lecture 21 Common Pitfalls and Lessons Engineers transitioning into geothermal or renewable energy roles.,Energy project managers seeking to understand geothermal technologies.,University students studying sustainability, energy systems, or earth science.,Government or NGO professionals evaluating geothermal policy or deployment.,ProfessioEnthusiasts or career changers wanting a job-ready foundation in geothermal energy.nals exploring heat pump or direct-use geothermal applications. 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Free Download Udemy - Geotechnical Investigations - Site Characterization Planning Published 5/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 4.35 GB | Duration: 2h 33m Site Characterization Planning: Locations, Depths, Methods, Samples, Testing, Groundwater What you'll learn Master planning: Design effective geotechnical investigation programs for various projects and sites. Be a site expert: Identify factors for investigation scope, location, and depth to minimize uncertainties. Choose the right tools: Select appropriate tests, sampling, and boring methods for soil, rock, and groundwater. Understand groundwater: Evaluate its role in design and construction, and determine essential parameters. Adapt your plan: Adjust investigation strategies based on field findings and communicate effectively. Requirements Recommended: Completion of the "Geotechnical Investigation Essentials" course is highly recommended to ensure you have a solid grasp of fundamental concepts before diving into this advanced planning course. A basic understanding of engineering or technical concepts is beneficial. No specific software, tools, or equipment are required to take this online course. All necessary information is provided within the video content. Even if you haven't completed the prerequisite course, you are welcome to enroll, but reviewing the foundational material first will significantly enhance your learning experience. Description Are you ready to master the crucial first step in any successful construction project? Welcome to "Geotechnical Investigations, Master Planning for Site Characterization," a comprehensive online course from Geotech Master, led by experienced geotechnical engineer, Dr. Masoud Manafi. Building on foundational knowledge, this course digs deep into the strategic planning of subsurface investigations to unlock the secrets beneath the surface.This course is designed for civil engineers, geotechnical engineers, students, and anyone involved in construction seeking to reduce subsurface uncertainty and ensure safe, economical designs.You'll learn exactly how to design a robust investigation program tailored to any project and site condition. We cover essential topics including:Selecting optimal investigation locations and determining the necessary depths.Understanding and choosing various investigation methods, from geophysics and boring to strategic sampling techniques.Planning and interpreting both in-situ and laboratory testing.Evaluating the critical influence of groundwater conditions.Adapting your investigation plan based on encountered conditions and specific project types.By the end of this course, you'll have the confidence and expertise to plan effective geotechnical investigations that provide the reliable data needed for sound engineering decisions. Join us to elevate your understanding and contribute to successful projects! The course package includes valuable supplementary resources like slides and mind maps to enhance your learning experience. Overview Section 1: Introduction to Geotechnical Investigations: Site Characterization Planning Lecture 1 Introduction to the course Section 2: Planning a Geotechnical Subsurface Investigation Lecture 2 Introduction to Developing a Subsurface Investigation Plan Lecture 3 Geophysical Site Surveys: The Smart Start to Geotechnical Projects Lecture 4 Introduction to Selecting Locations for Subsurface Investigations Lecture 5 How Deep Should You Dig? Minimum Depths for Geotechnical Investigations Lecture 6 Factors Influencing Geotechnical Investigation Locations Lecture 7 Determining Types of Geotechnical Samples and Sampling Frequency Lecture 8 Introduction to Subsurface Investigation Planning Lecture 9 In-Situ Testing: What, Why and How? Lecture 10 Rock Tests Explained: What Engineers Need to Know Lecture 11 Introduction to Piezocone Testing Lecture 12 Geotechnical Sampling Strategies: What, Why, and How Often? Lecture 13 Introduction to Geotechnical Investigation Borehole Methods Lecture 14 Introduction to Geotechnical Investigation Laboratory Testing Lecture 15 Introduction to Groundwater in Geotechnical Investigations Lecture 16 Recap the Geotechnical Investigations Course: Site Characterization Planning This course is designed for aspiring and practicing professionals in the world of civil and geotechnical engineering, as well as dedicated students eager to deepen their understanding.,Civil and Geotechnical Engineers: Enhance your expertise in planning effective subsurface investigations to ensure the safety and success of your construction projects. Learn to make informed decisions on testing, sampling, and borehole methods.,Engineering Students: Gain practical, real-world knowledge that goes beyond textbooks. Build a strong foundation in geotechnical investigation planning that will be invaluable in your future career.,Geology and Earth Science Professionals: Broaden your perspective on how geological understanding is directly applied in engineering investigations and construction.,Anyone involved in construction or infrastructure projects: If your work involves understanding the ground beneath your feet, this course will provide crucial insights into the investigative process that underpins reliable design and construction.,If you are looking to master the critical first step in any ground-related project - planning the investigation - this course is for you! 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Free Download Udemy - Generative Ai For Ux Designers Published 5/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 423.18 MB | Duration: 1h 12m Gen AI for UX Personas, Wireframing, Prototyping and User Research What you'll learn Understand the fundamentals of Generative AI and its applications Use AI tools to accelerate your UX design workflow. Explore different AI modalities for UX Design-persona, wireframe, prototype, and more Apply AI for ideation, research, and user experience improvements. Leverage AI ethically and responsibly in design. Requirements Keen to learn Gen AI tools and apply them in your work Description This course is designed to introduce UX Designers to the exciting world of Generative AI (Gen AI) and explore how it can enhance the design process. You'll learn how to use AI tools effectively for brainstorming, prototyping, user research, content generation, and more.What you'll learn:Master the fundamentals of Generative AI across multiple modalities (text, image, prototype)Create detailed user personas in seconds with AI toolsGenerate wireframes and high-fidelity mockups effortlesslyAnalyze user feedback and research data using AIApply ethical AI practices in your UX design workflowThis course is perfect for beginner to intermediate UX designers, product managers interested in AI-powered product development, and anyone looking to integrate AI into their design process. No coding experience required!Through practical exercises and real-world examples, you'll discover how to:Use ChatGPT for brainstorming and content generationCreate custom visual assets with AI image generatorsBuild wireframes quickly with Figma's AI pluginsDevelop high-fidelity prototypes using tools like LovableEfficiently analyze qualitative user dataBy the end of this course, you'll have transformed your UX workflow, freeing yourself from repetitive tasks to focus on what truly matters: creativity, strategy, and delivering exceptional user experiences.Join us to explore how Generative AI can become your ultimate UX design assistant, helping you work smarter, not harder. The future of UX design is here-are you ready to embrace it? Overview Section 1: Introduction Lecture 1 Welcome and Course Overview Lecture 2 What is Generative AI and modalities? Lecture 3 Real-World Use Cases for UX Designers and Researchers Section 2: Exploring AI Modalities for UX Design. Hands-On: Using AI in the Design Process Lecture 4 AI-Powered Text Generation Lecture 5 Demo - Create Persona using Gen AI tools Lecture 6 Image Generation with AI Lecture 7 Create Mockup in Figma using AI Lecture 8 Demo- Create Wireframes using Gen AI in Figma Lecture 9 Analyzing User Feedback with AI Lecture 10 Demo - Create User Research Plan using Gen AI Tools Section 3: High fldelity mockup design Lecture 11 Demo- Create High Fidelity mockups without using Figma in less than 2min Section 4: AI and Ethics in UX Design Lecture 12 Understanding AI Bias and Ethical Concerns Section 5: Conclusion Lecture 13 Conclusion Beginner to intermediate UX Designers.,Product Managers interested in using AI in product development,Anyone curious about integrating AI into the UX design workflow Homepage https://www.udemy.com/course/generative-ai-for-ux-designers/ Rapidgator Links Download https://rg.to/file/b2be2816438811f5f43b0d2cbe9c39a5/vlkzc.Generative.Ai.For.Ux.Designers.rar.html Fikper Links Download https://fikper.com/OStT3wfcym/vlkzc.Generative.Ai.For.Ux.Designers.rar.html No Password - Links are Interchangeable

Free Download Udemy - Generative Ai For Procurement Analysts Published 5/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 519.00 MB | Duration: 2h 24m 1000+ Prompts to Automate Every Procurement Function What you'll learn Understand the core principles behind Generative A Access 1000 ready-to-use AI prompts designed specifically for procurement analysis and automation Distinguish between traditional procurement methods and AI-augmented procurement analysis Apply Generative AI vs. Predictive AI approaches in strategic sourcing decisions Master prompt engineering techniques including instructional, analytical, zero-shot, one-shot, few-shot, and prompt chaining Create context-rich procurement prompts and avoid common prompt design mistakes Auto-generate supplier evaluation matrices, SWOT analyses, and compliance summaries Use Generative AI to analyze, summarize, and redline procurement contracts Automate RFQs, RFPs, SOPs, negotiation emails, and procurement checklists Generate spend analysis dashboards, EOQ, TCO, and KPI calculations using text-to-formula prompts Visualize procurement trends and create narrative-rich reports for stakeholders Monitor real-time supplier risk and generate alerts using external signals like ESG ratings, inflation, or geopolitical events Learn from real-world case studies like McKinsey, Siemens, Coupa, SAP Ariba, and IBM Build a fully automated procurement workflow from need identification to PO issuance Requirements Basic understanding of procurement processes, including sourcing, RFx, contract management, and spend analysis No prior coding knowledge required-Generative AI tools will be used via natural language Interest in AI, digital transformation, or automation within procurement or supply chain Access to a computer with internet connection Willingness to experiment with prompt engineering techniques and AI-assisted workflows Description This comprehensive course, "Generative AI for Procurement Analysts," is designed to empower procurement professionals with cutting-edge skills to navigate the AI-driven transformation of sourcing, vendor management, and spend optimization. It begins by demystifying Generative AI, explaining how Large Language Models (LLMs), transformer architectures, and diffusion models are redefining enterprise procurement. The course traces the evolution of AI in procurement systems, contrasting traditional spreadsheet-based analysis with AI-augmented decision-making and predictive vs. generative sourcing intelligence. Learners explore major tools like ChatGPT and examine McKinsey's perspective on real-world AI adoption in procurement.In the next module, the focus shifts to prompt engineering, the core skill for interacting with generative AI. Students learn the anatomy of effective prompts, distinguish between instructional and analytical prompting, and master techniques like zero-shot, one-shot, and few-shot learning with procurement-specific examples. Advanced topics like prompt chaining and crafting context-rich queries are explored alongside common prompt errors and their remedies.The course then deep-dives into functional applications such as vendor discovery, supplier evaluation matrices, SWOT analysis, risk profiling, and compliance checks, supported by case studies like global supplier shortlisting. Contract management follows, where learners apply AI to analyze clauses, identify risks, extract obligations, and redline terms-illustrated by Coupa and SAP Ariba case examples.The final modules cover spend analysis, cost optimization, EOQ/TCO/KPI generation, and visual reporting using generative prompts, along with real-time risk monitoring, external signal integration, and alert generation, exemplified by Siemens' AI risk mitigation. Students will also auto-generate RFPs, SOPs, negotiation emails, and workflow automations, culminating in 1000 expertly crafted prompts tailored for procurement analytics, helping learners fully operationalize AI in their daily work. Overview Section 1: Introduction to Generative AI in Procurement Lecture 1 What is Generative AI? Lecture 2 Evolution of AI in Procurement Systems Lecture 3 Traditional Procurement Analysis vs. AI-Augmented Procurement Lecture 4 Generative AI vs Predictive AI in Strategic Sourcing Lecture 5 Case Study McKinsey's perspective on AI in procurement Section 2: Prompt Engineering for Procurement Analysts Lecture 6 What are Prompts Anatomy of a Good Prompt Lecture 7 Instructional vs Analytical Prompts Lecture 8 Zero-shot, One-shot, Few-shot Learning with Examples Lecture 9 Prompt Chaining: Building Logic through Sequences Lecture 10 Crafting Context-Rich Procurement Prompts Lecture 11 Common Prompt Mistakes and How to Avoid Them Section 3: Generative AI for Supplier Sourcing and Evaluation Lecture 12 Prompting for Vendor Discovery and Category Insights Lecture 13 Auto-generating Supplier Evaluation Matrices Lecture 14 Use of GenAI for SWOT Analysis of Suppliers Lecture 15 Creating Risk Profiles and Compliance Summaries Lecture 16 Case Study: GenAI Use in Global Supplier Shortlisting Section 4: Contract Review and Legal Analysis with Generative AI Lecture 17 Auto-analyzing Procurement Contracts and Clauses Lecture 18 Identifying Contract Risks Using Generative Models Lecture 19 Extracting Terms and Obligations from PDF Contracts Lecture 20 Summarizing Multi-vendor Agreements Lecture 21 Prompt Examples: Redlining and Compliance Prompting Lecture 22 Case Study: AI for Contract Management at Coupa and SAP Ariba Section 5: Cost, Spend, and Category Analysis Using AI Lecture 23 Analyzing Spend Patterns with GenAI Lecture 24 Cost Optimization Prompts and Templates Lecture 25 Generating Category Spend Reports Automatically Lecture 26 Text-to-Formula: EOQ, TCO, and Procurement KPIs Lecture 27 Visualizing Spend Narratives for Stakeholder Reporting Lecture 28 Case Study: Spend Intelligence at IBM with GenAI Section 6: Risk Management and Supplier Monitoring Lecture 29 Prompting for Real-Time Supplier Risk Summaries Lecture 30 Monitoring News, ESG, and Social Media Feeds via AI Lecture 31 Integrating External Signals (e.g., war, strikes, inflation) in Risk Prompts Lecture 32 Generating Alerts for Contractual or Delivery Breaches Lecture 33 Example Prompts: "Summarize ESG alerts for top 10 suppliers" Lecture 34 Case Study: Siemens using AI for Risk Mitigation in Supply Chain Section 7: Procurement Process Automation with Generative AI Lecture 35 Auto-generating RFPs and RFQs Lecture 36 Drafting SOPs and Procurement Checklists via Prompts Lecture 37 Workflow Automation: From Need Identification to PO Lecture 38 AI-driven Email Replies for Vendor Negotiations Lecture 39 AI-generated Comparison Dashboards for Procurement Teams Lecture 40 Case Study: AI Co-pilot for Procurement at Amazon Business Section 8: 1000 Prompts for Generative AI for Procurement Analysts Lecture 41 Spend Analysis and Visualization Lecture 42 Vendor Comparison Dashboards Lecture 43 Auto-Generating RFPs and RFQs Lecture 44 Contract Clause Summarization Lecture 45 Identifying Contractual Risks Lecture 46 Delivery Performance Monitoring Lecture 47 Invoice-to-Contract Price Matching Lecture 48 Supplier Risk Profiling Lecture 49 Geopolitical and Market Disruption Monitoring Lecture 50 ESG Risk Summarization and Scoring Lecture 51 Generating Supplier Scorecards Lecture 52 Procurement Compliance Checks Lecture 53 Redlining Vendor Contracts Lecture 54 SOP and Procurement Policy Drafting Lecture 55 Procurement Process Checklists Lecture 56 Spend Category Intelligence Reports Lecture 57 Text-to-Formula for EOQ, TCO, ROP Lecture 58 Procurement KPI Generation and Interpretation Lecture 59 Forecasting Procurement Demand Lecture 60 Auto-Generating Purchase Orders (POs) Lecture 61 Supplier Onboarding Documentation Lecture 62 Creating Procurement Approval Summaries Lecture 63 AI-Generated Negotiation Emails Lecture 64 AI-Powered Vendor Rejection Letters Lecture 65 Vendor Payment Term Optimization Lecture 66 Dynamic Vendor Discovery Based on Scope Lecture 67 AI in Indirect Spend Control Lecture 68 Prompting for Freight and Logistics Quotations Lecture 69 Auto-Creating Requisition Forms Lecture 70 Comparison of Multi-Vendor Contracts Lecture 71 Scenario-Based Risk Simulations Lecture 72 Supply Chain Disruption Alerts Lecture 73 Prompting for Spend Trends Across Regions Lecture 74 Generating Procurement Audit Reports Lecture 75 Category-Specific Strategic Sourcing Playbooks Lecture 76 Prompting for Savings Opportunity Identification Lecture 77 Creating Dashboards for CPO Review Lecture 78 Vendor Performance Score Trends Lecture 79 Prompt-Based Supplier Escalation Letters Lecture 80 Procurement Fraud Pattern Detection Lecture 81 Contract Expiry Alerts and Renewal Summaries Lecture 82 AI-Generated SLA Violation Reports Lecture 83 AI-Assisted Market Intelligence Reports Lecture 84 Supplier ESG and Diversity Data Collection Lecture 85 Tracking Maverick Spend Lecture 86 Automated Sourcing Calendar Generation Lecture 87 RFx Document Quality Review Lecture 88 AI for Regulatory and Import Compliance Checks Lecture 89 AI-Augmented Joint Cost Negotiation Strategy Lecture 90 Procurement Workflow Automation from Need to PO Procurement analysts and specialists looking to automate data analysis, supplier scoring, and sourcing workflows,Category managers seeking smarter tools for vendor discovery, contract negotiations, and risk evaluation,Strategic sourcing professionals aiming to enhance decision-making with AI-generated insights and spend intelligence,Supply chain professionals interested in integrating AI into procurement planning and operations,Contract managers and legal procurement reviewers who want to streamline redlining and clause analysis,Finance and operations analysts supporting procurement functions with cost modeling and KPI reporting,Consultants and transformation leads managing digital procurement initiatives or AI-readiness programs,Anyone working in enterprise procurement eager to gain hands-on skills in Generative AI and prompt engineering,Tech-savvy professionals exploring career opportunities at the intersection of procurement and AI,Students or early-career professionals looking to future-proof their skills in AI-driven procurement systems Homepage https://www.udemy.com/course/generative-ai-for-procurement-analysts/ Rapidgator Links Download https://rg.to/file/71ee355bed57d92a460738313fae4f2f/umtoa.Generative.Ai.For.Procurement.Analysts.rar.html Fikper Links Download https://fikper.com/n53V35AZu9/umtoa.Generative.Ai.For.Procurement.Analysts.rar.html No Password - Links are Interchangeable

Free Download Udemy - Generative Ai For Hr by Krishna Kumaravel Published 5/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 266.28 MB | Duration: 0h 33m Practical Applications for the Modern Workplace What you'll learn Understand the fundamentals of Generative AI and its practical relevance in modern HR functions. Learn how to use Gen AI tools like ChatGPT to improve recruitment processes-job descriptions, resume screening, and interviews. Apply Gen AI to boost employee engagement through personalized communication, feedback tools, and learning experiences. Discover how to implement Gen AI in your organization with a focus on tool selection, ethics, and compliance. Build confidence in using no-code AI tools to automate common HR workflow Requirements No prior experience with AI or HR tech tools is required Basic understanding of Human Resource functions is helpful (but not mandatory) A curiosity to learn how AI can be applied in real-world HR scenarios Description Overview:This course explores the transformative role of Generative AI (Gen AI) in modern Human Resource practices.From revolutionizing recruitment processes to enhancing employee engagement, Gen AI is reshaping how organizations attract, nurture, and retain talent. By leveraging AI, HR teams can streamline operations, make more informed decisions, and improve employee experiences. Gen AI also enables continuous innovation in talent management strategies, improving workplace culture and organizational outcomes.Participants will gain a deep understanding of:How Gen AI streamlines recruitment and reduces biasWays to drive personalized employee experiences and predictive retention strategiesBest practices for implementing AI ethically and effectively in organizationsChallenges related to data privacy, transparency, and organizational changeHow to integrate AI tools for real-time decision-making and operational efficiencyAdditionally, learners will engage with real-world AI tools, complete a knowledge check through an interactive quiz, and earn a Course Completion Certificate.Who Should Attend:HR ProfessionalsTalent Acquisition SpecialistsPeople ManagersOrganizational LeadersAnyone interested in the future of work and AI-driven HR innovationOutcomes:By the end of this course, participants will be ready to:Integrate Gen AI solutions responsibly within HR functionsLead AI transformation initiatives with confidence and ethical integrityDrive data-driven HR decisions that enhance organizational performance and overall employee satisfaction Overview Section 1: Introduction to the course Lecture 1 Introduction to the Course Section 2: Gen AI in Recruitment Lecture 2 Gen AI in Recruitment Section 3: Gen AI in Employee Engagement Lecture 3 Gen AI in Employee Engagement Section 4: Gen AI Implementation in Organizations Lecture 4 Gen AI Implementation in Organizations Section 5: Key Insights & Conclusion Lecture 5 Key Insights & Conclusion Section 6: Final Assessment: Generative AI for Human Resources Section 7: Course Completion Certificate Lecture 6 Course Completion & Certification HR professionals looking to future-proof their careers with AI tools,Recruiters and talent acquisition specialists who want to save time and hire smarter,L&D and employee engagement teams interested in personalized learning strategies,Business owners, startup founders, or HR managers exploring AI-driven HR solutions Homepage https://www.udemy.com/course/generative-ai-for-hr/ Rapidgator Links Download https://rg.to/file/89cde48e0919cb51fc44193eae5a06fd/jbqwo.Generative.Ai.For.Hr.by.Krishna.Kumaravel.rar.html Fikper Links Download https://fikper.com/JEHKGkFXnq/jbqwo.Generative.Ai.For.Hr.by.Krishna.Kumaravel.rar.html No Password - Links are Interchangeable

Free Download Udemy - Generative AI for beginners - Google Gemini Published 5/2025 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 1h 9m | Size: 540 MB Master Google Gemini: AI for Work, Productivity, and Creative Projects. What you'll learn Gernative AI Google Gemini Google Gemini Extension Personalized workout and diet plan Requirements No programming experience needed. You will learn everything you need to know in this course Description Master Google Gemini: AI for Work, Productivity, and Creative ProjectsDiscover the power of Google Gemini, a cutting-edge suite of AI models that can transform the way you work, learn, and create. This comprehensive course will guide you through understanding how to harness Gemini to streamline tasks, tap into new levels of productivity, and spark your creativity. It's designed with flexibility in mind, so whether you're a beginner or have some technical experience, there's a path for you.Introduction to AI and GeminiBegin by demystifying the fundamentals of artificial intelligence (AI) and exploring the capabilities of Google Gemini's models. Learn how to interact with Gemini and explore its potential in a variety of everyday and specialized scenarios, from streamlining work tasks to getting coding assistance.Gemini for Your Everyday LifeExplore how Gemini integrates with popular Google tools and services. Learn how to use AI to:Conquer your inbox with smart email summaries and drafting (Gmail)Create and format documents effortlessly (Google Docs)Analyze data and build visualizations (Google Sheets)Supercharge your research and travel planning (Google Flights, Hotels, Maps)Unlocking AI-Powered ProductivityDiscover tools and strategies for boosting your efficiency with AI. Learn to craft effective prompts that guide Gemini to generate personalized workout plans, meal suggestions, and more. Understand the importance of recognizing AI's limitations and ensuring accuracy in its outputs.PrerequisitesThis course is designed for a range of learners. No prior AI experience is required for most sections.Enroll today and start transforming your workflow and creative projects with the power of Google Gemini!What you'll learnGenerative AI with Gemini and Gemini advanceHow to leverage Gemini inside Google workspace application and extensions like gmail, docs, sheets, etc.Are there any course requirements or prerequisites?No prior experience is needed for most of the course! Google Cloud accountWho this course is for:Generative AI for beginnersLearn Generative ai with google gemini Who this course is for Google Gemini Homepage https://www.udemy.com/course/generative-ai-for-beginners-google-gemini-ai-studio/ Rapidgator Links Download https://rg.to/file/1d15b7cb5d558f1d46277044c1e976fc/crqra.Generative.AI.for.beginners..Google.Gemini.rar.html Fikper Links Download https://fikper.com/8N4zRyIIRU/crqra.Generative.AI.for.beginners..Google.Gemini.rar.html No Password - Links are Interchangeable

Free Download Udemy - Generative AI for Retail AnalystsGenerative AI for Retail Analysts Published 5/2025 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 2h 53m | Size: 767 MB 1000+ GenAI Prompts for Retail Decision-Maker What you'll learn Understand the core technologies powering Generative AI, including LLMs, diffusion models, and transformers, and how they apply to retail analytics. Gain access to a curated 1000+ expert-level prompts to drive innovation across every function of retail analytics. Differentiate between Generative AI and traditional Predictive AI, and identify their unique use cases in retail operations. Master the fundamentals of prompt engineering, including crafting effective prompts, using prompt chaining, and applying zero-shot, one-shot, and few-shot techn Develop and deploy reusable prompt templates for daily retail tasks such as customer segmentation, inventory planning, and pricing optimization. Generate customer personas, basket narratives, and churn-risk summaries using behavioral and transactional data. Create AI-generated product descriptions, shelf layouts, and category affinity reports to optimize merchandising strategy. Automate demand forecasting through stockout/overstock analysis, EOQ narratives, and external signal integration (e.g., weather, events). Simulate dynamic pricing strategies, auto-generate markdown plans, and evaluate campaign ROI using scenario-based prompts. Summarize customer sentiment from reviews and social media, and monitor competitor pricing using AI-generated reports. Auto-generate executive summaries, PowerPoint charts, and natural language dashboards from retail databases and Excel/CSV files. Deploy GenAI-powered chatbots and store assistants for operational tasks such as inventory lookup, shift scheduling, and FAQ handling. Integrate conversational bots with CRM and POS systems to support seamless, intelligent customer and employee interactions. Study real-world case examples from Amazon, Target, and Sephora demonstrating scalable Generative AI adoption. Requirements Basic Understanding of Retail Operations Interest in AI and Automation No Programming Background Required Access to a Computer and Internet Description This course provides a comprehensive exploration of how Generative AI is transforming the retail industry through intelligent automation, enhanced personalization, and real-time decision support. Participants will begin by understanding the foundational technologies behind Generative AI, including Large Language Models (LLMs), Diffusion Models, and Transformer architectures. Emphasis is placed on the role of Generative AI in modern retail data analytics, especially in contrast to traditional predictive AI methods.Learners will master the art of prompt engineering, including crafting effective prompts, using zero-shot, one-shot, and few-shot learning, and deploying reusable prompt templates for daily analytics tasks. Through applied exercises, participants will use Generative AI to create customer personas, analyze basket and journey data, and implement churn prediction with tailored messaging strategies.The course then shifts to merchandising and inventory, where Generative AI is applied to generate product descriptions, identify substitution patterns, and optimize shelf layouts. It also covers demand planning through stockout/overstock simulations, EOQ and reorder point narratives, and forecasting with external signals such as weather and events.Advanced modules focus on pricing and promotions, including markdown strategy generation, dynamic pricing simulations, and campaign ROI analysis. Sentiment analysis using LLMs, competitor pricing intelligence, and social media trend mining are also integrated to enhance competitive positioning.Operationally, learners will auto-generate executive summaries, charts for dashboards, and query business data using natural language. Finally, the course explores the deployment of AI-powered store assistants, FAQ bots, and CRM-integrated POS chatbots to enhance in-store efficiency.Case studies from Amazon, Target, and Sephora highlight real-world applications, while a curated collection of 1000+ Generative AI prompts equips learners to apply these methods across the retail analytics spectrum. Who this course is for Retail Analysts and Data Professionals Individuals working with sales, customer, or inventory data who want to enhance their analysis using Generative AI-powered insights and automation. Category Managers and Merchandisers Professionals responsible for product assortments, shelf layouts, and SKU-level decisions who seek to use AI for trend forecasting, substitution patterns, and pricing strategy. Marketing and CRM Specialists Teams focused on personalization, campaign planning, churn prevention, and customer engagement looking to deploy prompt-driven AI solutions. Store Managers and Operations Leaders Frontline retail professionals interested in automating store workflows using AI-powered assistants and improving decision-making through dashboard summaries. Business Intelligence (BI) and Reporting Teams Professionals responsible for creating reports, presentations, and dashboards who want to convert natural language into executive-ready analytics. Retail Strategy and Innovation Leads Individuals leading digital transformation or AI adoption projects in retail seeking practical, case-driven applications of Generative AI. Students and Job-Seekers in Retail Analytics Aspiring data professionals or students aiming to build job-ready skills in AI-powered analysis, forecasting, and reporting in the retail domain. Product Owners and Tech Teams in Retail Startups Innovators looking to rapidly prototype AI-based retail tools like chatbots, smart dashboards, or customer-facing virtual assistants. Homepage https://www.udemy.com/course/generative-ai-for-retail-analysts/ Rapidgator Links Download https://rg.to/file/ceec7496510ce82e732c2a1abe09936a/zknrx.Generative.AI.for.Retail.AnalystsGenerative.AI.for.Retail.Analysts.rar.html Fikper Links Download https://fikper.com/A7ybH36BEz/zknrx.Generative.AI.for.Retail.AnalystsGenerative.AI.for.Retail.Analysts.rar.html No Password - Links are Interchangeable

Free Download Udemy - Generative AI for Leaders by Dr. Margaret Jamal Published 5/2025 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 42m | Size: 720 MB Ignite Innovation & Drive Business Transformation What you'll learn 1. Understand the Basics: Grasp fundamental machine learning concepts and the unique role of generative AI. 2. Identify Applications: Recognize how generative AI can revolutionize various business functions such as marketing, operations, HR, and finance. 3. Integrate Strategically: Develop strategies to incorporate AI into your organizational culture and business strategy, ensuring alignment with core values. 4. Navigate Ethics: Evaluate and address ethical implications associated with AI implementation in business settings. 5. Inspire Innovation: Apply these insights to drive innovation and transformative leadership within your organization. Requirements • Basic computer literacy and reliable internet access. • An open and curious mindset towards emerging technologies and business innovation. • A willingness to engage with short, interactive lectures, quizzes, and practical assignments. No prior technical knowledge of AI is required-this course is designed for strategic insight rather than technical coding Description Step into the future of leadership with our dynamic one-hour mini-course, "Generative AI for Leaders: Ignite Innovation & Drive Business Transformation." In this engaging journey, you'll uncover the fundamentals of generative AI-from the basics of machine learning to its transformative real-world applications-while exploring how to weave this cutting-edge technology into your organization's culture and strategy. Each bite-sized lecture (lasting 2-4 minutes) is packed with humorous anecdotes, inspirational insights, and practical tips to spark creativity and strategic thinking. Whether you're looking to refine your business strategy or steer your team toward a tech-savvy future, this course delivers the essential knowledge you need-fast, fun, and actionable.So, leaders, don't just stand on the sidelines and watch the AI revolution unfold. Take the helm and steer your company towards a future where AI and human ingenuity work together to achieve extraordinary things. Develop a clear AI strategy, integrate it into your culture, and empower your team to embrace the transformative power of this technology. The journey may be challenging, but the rewards are immense. After all, the best captains are the ones who not only navigate the storms but also harness the winds of change to propel their ship forward.Developing an AI strategy isn't about replacing humans with robots. It's about empowering your crew with the best tools and information to navigate the complexities of the modern business world. Learn how to embrace the future of business leadership-join us in exploring how generative AI can ignite innovation and transform your organization from the inside out! Who this course is for • Ideal Learners: o Business leaders, executives, and decision-makers eager to harness AI as a competitive edge. o Entrepreneurs and startup founders looking to integrate AI insights into their strategic planning. o Managers and team leaders seeking to understand the broader business implications of generative AI. • Who Might Not Benefit: o Individuals with no interest in business strategy or leadership development. o Technical specialists seeking deep, algorithmic or coding-focused AI training. o Those expecting a highly technical or exclusively academic deep-dive into AI. Homepage https://www.udemy.com/course/generative-ai-for-leaders-b/ Rapidgator Links Download https://rg.to/file/2492a711b51c8dd3033bd453a3626f58/ffmgr.Generative.AI.for.Leaders.by.Dr..Margaret.Jamal.rar.html Fikper Links Download https://fikper.com/RZVFjaGTSw/ffmgr.Generative.AI.for.Leaders.by.Dr..Margaret.Jamal.rar.html No Password - Links are Interchangeable

Free Download Udemy - Generative AI for Developers How To Use AI In Your Workday Published 5/2025 Created by Dan Wilson MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Beginner | Genre: eLearning | Language: English | Duration: 18 Lectures ( 2h 4m ) | Size: 1.71 GB Follow a real dev day to see where AI delivers and where it falls short. Uses ChatGPT, Gemini, Claude, and Copilot. What you'll learn Apply AI tools to real development tasks like debugging, writing SQL, and transforming unstructured input into usable assets. Avoid common pitfalls when using AI for code generation or documentation. Build and optimize a simple interactive app using AI as your pair programmer. Work faster and more effectively by integrating AI into your daily developer workflow. Use AI to improve legacy code, normalize schemas, and document release changes. Identify when and how to use AI as a helper, not a replacement, for writing, reviewing, and refactoring code. Use AI to clarify vague requirements, organize tasks, and communicate with stakeholders. Requirements No prior AI or machine learning experience is needed. Basic familiarity with software development concepts will be helpful but not required. A sense of curiosity and a willingness to test tools and iterate. This course is designed to meet you where you are, whether you're hands-on in code or supporting a technical team. Some examples use HTML, JavaScript, and SQL, but you don't need to be an expert in any of them. Description If you're a developer curious about AI but overwhelmed by the hype, this course is for you.This course follows a realistic developer workday, from 8 AM to 5 PM. Each hour introduces common tasks you face already, and shows how AI tools like ChatGPT, Claude, Gemini, and Copilot can help you move faster, think clearer, and get better results with less context switching. Where it makes sense, we use multiple tools head-to-head so you can see how they work. First, I walk you through some foundational concepts to help you avoid pitfalls, then we start our day as a software developer. Here's how it unfolds:8 AM: Morning Inbox TriageStart your day with a mess. Your boss sent a vague, stream-of-consciousness email. Use AI to extract tasks, identify what's unclear, and write a clean reply without switching out of developer mode.9 AM: Write What You Mean, Not What You SayTake rough dev notes or Jira tickets and turn them into polished updates. AI helps you translate shorthand into clear, professional communication for stakeholders or product teams.10 AM: Fix Ancient CodeYou've inherited a legacy codebase. Let AI explain what the code is doing, find bugs, suggest improvements, and even rewrite it. You'll compare output from different tools to see where they shine or fail.11 AM: Regex and Other CrimesStop suffering through regular expressions. Use AI to write, explain, and debug regex patterns with real-world test data and examples. Learn how to tighten your prompts and validate the results.12 PM: Lunch and Data MigrationsMigrate content between databases. AI maps schemas, writes SQL, flags risky fields, and reminds you to hash those passwords. You'll get real help instead of random Stack Overflow links.1 PM: The Database Doctor Is InImprove your schema. AI helps spot design flaws, propose normalization, and generate optimized CREATE TABLE statements with constraints, keys, and indexes.2 PM: Says WhatExtract work from . AI turns whiteboards, Jira tickets, and Slack into actionable checklists or development tasks. Then it helps you delegate or document them.3 PM: Canvas Playground - Tic Tac ToeBuild a working HTML5 Canvas game from scratch. Let AI generate, review, and improve your code. Watch it refactor its own work and explain the logic behind each improvement.4 PM: To Vibe Code or Not To Vibe CodeUse AI as a coding partner. Build a small commodity trading app using an agent inside VS Code. Learn how to guide the AI, fix its mistakes, and avoid over-editing too soon.5 PM: Docs, Notes, and Final PolishClose your day with clean documentation. AI summarizes commits, formats release notes, and even rewrites your update email for execs, marketing, or your changelog.I want you to have the superpowers of AI, without drowning in the hype-swamp. Join me! Who this course is for Developers curious about AI but unsure where to start using it for real work. Engineers, tech leads, or junior devs who want to integrate AI tools into their daily workflow. Software developers tired of AI hype and looking for practical, honest guidance. Productive coders who want to spend less time on routine tasks and more time on high-value work. Developers who've tried AI and been underwhelmed, and want to get better results. Developers exploring ways to make their tooling smarter without adding complexity. Builders who want to compare AI tools like ChatGPT, Claude, Gemini, and Copilot in action. 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Free Download Udemy - Generative AI for Data Analytics Ride the Agentic Wave Published 5/2025 Created by Dr. KM Mohsin MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Expert | Genre: eLearning | Language: English | Duration: 38 Lectures ( 3h 22m ) | Size: 2.6 GB Thought leadership course on how Gen AI transforming Data & Analytics with hands-on examples What you'll learn Tools and Techniques to be used in Data Analytics Using Gen AI to streamline Data Analytics pipeline: Obtain, Scrub, Explore, Model and Interpret Generative AI to generate code to analyze data How to increase their productivity in day-to-day data analytics work Generative AI to develop deployment-ready data products Requirements Basic Programming Skills - Python Recommended Foundational Knowledge in Data Analytics Familiarity with Machine Learning Mathematics Background will be highly helpful to grasp the analytic concepts Description I think by now everyone in Udemy knows how to use ChatGPT or Co-pilot. So, this course is not about "how to use ChatGPT". Rather, it is a course by a Data Scientist for other peers or AI enthusiasts out there on how to use real robust Gen AI tools to solve a real problem and how to deliver your data product faster. At the same time learn the challenges you might face in implementing Gen AI in data analytics. Also know where we are heading towards in future, what to learn to adapt ourselves in this AI driven rapid transformative journey. I will walk you through, from problem statement to data acquisition to exploration to transformation and then finally to model and interpret steps using Gen AI tools. You will learn how to iterate faster, experiment faster, develop faster and deliver quicker. You will never feel the urgency of learning "syntax". If you have the "concepts", you will be able to deliver. This course will teach you how to unload the burden of learning-unlearning of "yet another ML library". Once you know one language, you just transfer those concepts to a new language and let Gen AI generate that for you. You learn how to "delegate" your tasks to "AI Agents" and "elevate" yourselves to do much challenging and rewarding one. We will see this in action on this course. I think Gen AI here is the "accelerator", and you are still the "pilot" taking decision in every step of the process. I hope you will enjoy the journey with me, let's fly together!By the way, this course description is not generated by any machine!Thanks for reading! Who this course is for Data Analysts: Seeking to increase their productivity. "Go faster" Machine Learning Engineers: Seeking to develop POC, MVP faster. "Deliver faster" Data Scientists: Want to use Gen AI to accelerate testing ideas. "Experiment faster" AI Enthusiasts: Wants to use AI for Data Analytics without knowing much of syntax. "I love low code, no code" Professionals in Finance, Healthcare, Marketing, etc.: Seeking innovative solutions for data-related challenges specific to their industry, such as privacy-preserving data sharing or generating realistic synthetic data for training models. Homepage https://www.udemy.com/course/generative-ai-for-data-analytics/ AusFile https://ausfile.com/832z0rn4kpla/agxmu.Generative.AI.for.Data.Analytics.Ride.the.Agentic.Wave.part3.rar.html https://ausfile.com/uuy08qec873d/agxmu.Generative.AI.for.Data.Analytics.Ride.the.Agentic.Wave.part1.rar.html https://ausfile.com/vfsggwvbjvqk/agxmu.Generative.AI.for.Data.Analytics.Ride.the.Agentic.Wave.part2.rar.html Rapidgator Links Download https://rg.to/file/995ee0ff3ffb5fd8dcee8d5b3bb43cd9/agxmu.Generative.AI.for.Data.Analytics.Ride.the.Agentic.Wave.part3.rar.html https://rg.to/file/ca6a15bc6e1ea0f3fc05239b881d18f2/agxmu.Generative.AI.for.Data.Analytics.Ride.the.Agentic.Wave.part1.rar.html https://rg.to/file/fc2873186f948beafa22fa05f58a011c/agxmu.Generative.AI.for.Data.Analytics.Ride.the.Agentic.Wave.part2.rar.html Fikper Links Download https://fikper.com/5HrGS7IcYL/agxmu.Generative.AI.for.Data.Analytics.Ride.the.Agentic.Wave.part2.rar.html https://fikper.com/SdfoEZrnIf/agxmu.Generative.AI.for.Data.Analytics.Ride.the.Agentic.Wave.part3.rar.html https://fikper.com/ny3RJ0tqe4/agxmu.Generative.AI.for.Data.Analytics.Ride.the.Agentic.Wave.part1.rar.html No Password - Links are Interchangeable

Free Download Udemy - Generative AI for Business Leaders and Executives Published 5/2025 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 4h 5m | Size: 4.94 GB Lead AI-driven transformation with confidence-strategy, governance, and execution for enterprise-ready GenAI adoption. What you'll learn Understand the core capabilities and limitations of Generative AI in a business context. Identify high-impact GenAI use cases across departments and industries. Design AI-augmented teams with clear roles, feedback loops, and oversight. Develop and implement scalable GenAI governance and risk frameworks. Build AI literacy programs and change management strategies for enterprise adoption. Lead cross-functional GenAI initiatives aligned with business goals and KPIs. Communicate GenAI value through storytelling to boards, teams, and customers. Create a 3-year roadmap to embed GenAI into your organization's operating model. Requirements No technical or programming background is required-this course is designed for business leaders, decision-makers, and transformation leads. Curiosity about artificial intelligence, digital transformation, and organizational change is highly encouraged. Experience in leading teams, departments, or company-wide initiatives will help you apply the strategies more effectively. A basic understanding of how digital tools and data support business operations (e.g., CRM, cloud, analytics) is helpful but not mandatory. A basic understanding of how digital tools and data support business operations (e.g., CRM, cloud, analytics) is helpful but not mandatory. A basic understanding of how digital tools and data support business operations (e.g., CRM, cloud, analytics) is helpful but not mandatory. No software installation is necessary; all concepts are taught at a strategic and operational leadership level. No software installation is necessary; all concepts are taught at a strategic and operational leadership level. Description Unlock the power of Generative AI to transform your business. In this executive-focused course, Generative AI for Business Leaders and Executives, you'll learn how to lead your organization through the most disruptive technological shift since the internet. This course is designed specifically for non-technical executives, senior managers, and strategic decision-makers who want to understand how to leverage GenAI to drive innovation, improve efficiency, reduce costs, and enable scalable growth across the enterprise.You'll explore the core capabilities and limitations of Generative AI, including large language models (LLMs) like GPT, Claude, and Gemini. Through real-world case studies and strategic frameworks, you'll learn how to identify high-impact GenAI use cases, assess AI readiness, and build a roadmap that aligns with your digital transformation goals.We'll walk you through a 6-phase GenAI transformation framework, showing you how to move from pilot projects to full-scale adoption. You'll understand how to design AI-augmented teams, implement governance models, manage AI risk, and measure business value using actionable KPIs.This course also helps you scale AI literacy across your organization, drive change management, and build a culture of trust, safety, and innovation. You'll gain executive playbooks for storytelling, stakeholder engagement, and navigating boardroom conversations about AI investment, ethics, and ROI.By the end of this course, you will be equipped to:Build a GenAI strategy tied to your company's core objectivesFund the right initiatives and avoid "pilot purgatory"Communicate a clear, trusted AI narrative to teams and customersLead cross-functional AI implementation with confidenceFuture-proof your organization with a 3-year GenAI capability roadmapWhether you're in finance, healthcare, retail, technology, or manufacturing, this course delivers the frameworks and insights you need to make Generative AI a core business advantage.No coding required. No technical background needed. Just bold leadership, practical tools, and the clarity to lead in the AI era. 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Free Download Udemy - Generative AI Security Risks, Data Protection and Ethics Published 5/2025 Created by Logix Academy MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Beginner | Genre: eLearning | Language: English | Duration: 16 Lectures ( 2h 25m ) | Size: 1.48 GB Use Generative AI tools like ChatGPT safely at work: Security Risks, Data Protection and Ethics Awareness for Employees What you'll learn Cyber Security risks of Generative AI tools Understand data leakage and security risks when using Generative AI Apply security best practices when using ChatGPT and similar AI tools professionally Recognise risks such as Prompt Injections and how to mitigate those risks Ethical AI use - using AI in a way that is fair, honest, and transparent Practical strategies on how to mitigate security risks and protect your data when using Generative AI Requirements No programming required. Description Learn how to use Generative AI tools like ChatGPT safely at work - protect data, privacy and learn about security risks when using GenAI. Learn how to use Generative AI ethically.Generative AI is transforming all industries across the world and is a multiplier for productivity for professionals across the board - from writing emails to analysing data, summarising reports as well as proposing business strategies. However, with this great power, AI also introduces new challenges of data leaks, security breaches, and ethical issues.This course is designed to help employees, managers, and teams understand the security, risks, responsibilities, and best practices when using Generative AI tools like ChatGPT in a work environment.Whether your organisation has adopted GenAI revolution a while ago, or has just started its journey, this awareness training course with help you understand the underlying security risks, data leakage possibilities as well as offer best practices to use Generative AI tools like ChatGPT securely, ethically, and in line with workplace compliance.What You'll LearnUnderstand the fundamentals of Generative AI and its impact on workplaces around the worldUnderstand how prompts can lead to data leakages and how to mitigate those risksAnalyse how output generated by GenAI tools can still lead to data leaks or security breachesRecognise malicious prompt injection attacks and how to avoid themIdentify and mitigate risks of cross-account access and shadow GenAILeverage practical strategies to mitigate data leaks and security breachesApply the principles of transparency, honesty and fairness when using AIRecognise and understand common ethical issues such as plagiarism, originality and AI-misrepresentationApply Responsible AI use principles - mitigating plagiarism and ensuring originality and authenticity Who this course is for Professionals who want to ensure data protection and privacy when using GenAI tools at work Employees who want to learn Responsible AI use including ethical issues Risk professionals who want to understand GenAI risks IT Professionals interested in learning about security, risks and ethical use of Generative AI Homepage https://www.udemy.com/course/generative-ai-security-risks-data-protection-and-ethics/ AusFile https://ausfile.com/r7uyqeig7ht5/cndij.Generative.AI.Security.Risks.Data.Protection.and.Ethics.part1.rar.html https://ausfile.com/z77oj8nmpcvm/cndij.Generative.AI.Security.Risks.Data.Protection.and.Ethics.part2.rar.html Rapidgator Links Download https://rg.to/file/000a337df71828a84e82a48cf24d7cfd/cndij.Generative.AI.Security.Risks.Data.Protection.and.Ethics.part2.rar.html https://rg.to/file/f0c55849bb11fef3053ec95f0d94e8a3/cndij.Generative.AI.Security.Risks.Data.Protection.and.Ethics.part1.rar.html Fikper Links Download https://fikper.com/591Mr0nd2y/cndij.Generative.AI.Security.Risks.Data.Protection.and.Ethics.part2.rar.html https://fikper.com/SMZUB7BF0V/cndij.Generative.AI.Security.Risks.Data.Protection.and.Ethics.part1.rar.html No Password - Links are Interchangeable

Free Download Udemy - Generative AI For Academic And Scientific Writing Mastery Last updated 4/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 2.72 GB | Duration: 3h 24m Leverage ChatGPT for precision writing, enhanced communication, and accelerated academic performance What you'll learn AI-assisted writing Improve grammar Write for multiple audiences (scientific, general, journalistic, press releases) ChatGPT Prompt engineering Requirements No prerequisites! Description Artificial Intelligence (AI) is Reshaping Academic & Scientific WritingThe emergence of Artificial Intelligence (AI) has had far-reaching implications across various fields, including academic and scientific writing. AI, especially tools like ChatGPT, is revolutionizing the way we conduct and communicate research. This exciting development opens up new avenues for students, PhD candidates, postdocs, academics, professors, AI-enthusiasts, writers, and copyeditors to enhance their research and writing abilities.You Need to Master AI-Assisted WritingAs a researcher or academic, you know the importance of clear, concise, and compelling writing. AI-assisted writing tools like ChatGPT can elevate your writing skills, enabling you to create high-quality academic and scientific documents with ease. Mastering these tools can help you craft compelling research questions, generate structured outlines, and write clear, persuasive text. It can also help you stay abreast of the latest developments in your field, future-proofing your research skills.Introducing ChatGPT: A Groundbreaking AI Tool for Academic & Scientific WritingChatGPT, a product of OpenAI based on deep learning, is a tool that is revolutionizing the way we approach academic and scientific writing. By using ChatGPT, you can harness AI to refine your research questions, facilitate your writing process, share your research effectively, and much more. This course will guide you through the process of effectively integrating ChatGPT into your research workflow.Course OverviewThis course is designed to provide you with the knowledge and practical skills needed to leverage AI in your writing and research.In this course, you will learn how to:Engineer prompts to get the most out of ChatGPTRefine your research questions using AIWrite more effectively with AI-assistanceShare your research in a clear and compelling way using AI toolsNavigate ethical considerations in AI and anticipate future trendsBoost your data science and statistics written communicationCourse StructureThis course is divided into six main content sections, each focusing on different aspects of using ChatGPT for academic and scientific writing:Elements of writing - Learn how ChatGPT can help you with the fundamentals of writing.Prompt Engineering with ChatGPT - Learn how to design effective prompts that elicit high-quality responses from ChatGPT.Refining Research Questions - Discover how AI can help you hone your research questions, ensuring they are clear, focused, and impactful.AI-Assisted Writing - Learn how to leverage ChatGPT to write clear, well-structured, and persuasive academic and scientific documents.Sharing Your Research - Master the art of communicating your research, data science, and statistics results effectively to both specialist and non-specialist audiences using AI tools.Ethics and the Future - Explore the ethical implications of using AI in research and writing, and anticipate future trends in AI-assisted academic and scientific writing.Unique Aspects of This CoursePioneering Approach: This course presents a new perspective on using ChatGPT for academic and scientific writing, offering learners a chance to stay ahead of the curve in this rapidly evolving field.Comprehensive Coverage: The course covers a wide range of topics, including prompt engineering, refining research questions, AI-assisted writing, sharing research, and understanding the broader implications of AI.Hands-on Learning: The course provides students with practical examples and exercises that showcase how ChatGPT can be effectively used in real-world academic and scientific writing applications.Accessible to Diverse Audiences: Whether you're a student, an academic professional, or someone simply curious about AI, this course caters to various learning needs and backgrounds.Expert Instruction: Learn from an experienced academic who understands the potential of ChatGPT and can guide you effectively through the nuances of AI-assisted writing and research.Future-proofing Your Skills: By mastering the use of ChatGPT in academic and scientific writing, you'll elevate your current skill set and prepare for the ongoing AI revolution in academia.Active Community: Engage with a vibrant community of learners and professionals through course forums, fostering collaboration, networking, and the exchange of ideas related to ChatGPT and academic writing.Your InstructorMeet Mike X Cohen (that's me!), a former neuroscience professor turned full-time online instructor and writer. I am a bestselling and highly rated Udemy instructor who has taught over 200,000 students about scientific programming, data analysis, and applied mathematics. I have also authored numerous textbooks on these subjects.I have been studying and using deep learning for 20 years, with a particular interest in how AI-assistance, specifically ChatGPT, can optimize and customize teaching people about data and writing.Why Choose This Course?By enrolling in this course, you'll gain a competitive edge in the academic and scientific writing field by learning how to harness the power of ChatGPT. Stay ahead of the curve and enhance your writing skills with AI-assisted learning. Enroll now and start your journey towards mastering academic and scientific writing with ChatGPT!What Should You Do Now?Take a look at the free preview videos, and the reviews of this course. Join the course to start your new journey in AI-assisted academic and scientific writing.Joining this course is risk-free. 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Free Download Udemy - General and Neuromuscular Physiology Published 5/2025 Created by Dr Mohamed Nizam Al Deen Shah MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Beginner | Genre: eLearning | Language: English | Duration: 44 Lectures ( 11h 37m ) | Size: 5.1 GB Explore human physiology with a focus on homeostasis, cell transport, bioelectricity, and neuromuscular function. What you'll learn Understand the foundational concepts of general human physiology in detail. Learn about homeostasis, fluid compartments, membrane transport, bioelectric potentials, NERNST, RMP and action potential Explore clinical applications of core physiological concepts to enhance practical understanding. Grasp key physiological mechanisms to build a strong base for advanced medical or health studies. Requirements A basic understanding of fundamental biology is recommended, ideal for those starting pre-med or health science studies. Description Course DescriptionWelcome to "General and Neuromuscular Physiology" - a comprehensive and engaging course designed for anyone looking to master the essential foundations of human physiology.Whether you're a pre-med student, nursing or allied health student, or simply someone fascinated by the inner workings of the human body, this course will provide you with the conceptual clarity and clinical insight you need to excel in your studies and future healthcare career.What This Course CoversWe begin with a solid introduction to general physiology, focusing on how the human body maintains balance and function. You'll explore:Homeostasis - the central theme of physiology, and how it governs everything from temperature control to fluid balance.Body fluid compartments - understanding extracellular vs. intracellular fluids, and how this impacts function at the cellular level.Transport across cell membranes - including diffusion, osmosis, active transport, and facilitated transport, with real-life physiological examples.Bioelectric potentials - where you'll dive into the Nernst equation, resting membrane potential (RMP), and the detailed process of generating and propagating an action potential.From there, we transition into the neuromuscular section, where physiology meets function:Structure and function of neurons and skeletal muscle fibersNeuromuscular transmission - how nerve signals are transmitted to muscleExcitation-contraction coupling - how a signal leads to movementMuscle contraction types and the sliding filament theoryReal-world clinical correlations, including conditions like myasthenia gravis, demyelinating diseases, and moreEach topic is broken down with clear explanations, diagrams, and real-world clinical insights, ensuring that you not only understand the "what," but also the "why" and "how."What You'll LearnBy the end of this course, you will be able to:Explain the foundational principles of general human physiologyDescribe mechanisms of homeostasis and membrane transportUnderstand and apply concepts like the Nernst equation, resting membrane potential, and action potentialExplore the structure and function of the neuromuscular junction and skeletal muscleApply physiological knowledge to real clinical scenarios and basic diagnostic reasoningWho This Course is ForThis course is ideal for:Pre-med, nursing, dental, and allied health studentsStudents preparing for MCAT, NEET, or other entrance examsAnyone beginning their journey into medical or health sciencesCurrent students who want a clear and engaging supplement to classroom learningCurious learners who want to understand how the human body worksNo advanced background is required-just a basic understanding of biology and a willingness to learn.Why Learn With Me?This course is taught by someone who understands what students need most-clarity, relevance, and clinical context. The material is presented in a structured, digestible format, making even complex topics easy to grasp. With years of experience in both teaching and the medical sciences, I've designed this course to give you the confidence and competence to move forward in your education. Who this course is for This course is ideal for pre-med students seeking advanced yet accessible knowledge. It's also suited for medical, nursing, dental, physiotherapy, chiropractic, osteopathic, paramedic, and sports medicine students. No prior expertise is required, just a passion for learning human physiology! 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Free Download Udemy - General Health, Mental Health, Eyesight Restoration Published 2/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 33.64 GB | Duration: 14h 48m Norbekov Method What you'll learn Improve cardiovascular health Improve vision and hearing Strengthen immunity. Emotional regulation Build joint and muscle strength Improve posture: gain height Improve urologic/gynecological health Boost self-confidence and belief in yourself Anti-aging benefits Learn to tap into creative thinking Optimize endocrine function Requirements +16 non pregnancy, non recent surgeries. non-pregnancy no recent surgeries Description TransformativeStrategies to Empower Your Wellness JourneyGain whole-body health and happiness and improve chronic conditions naturally using ancient techniques reimagined for today's busy lifestyle. Eastern cultures are known for their remarkable capacity to heal, stay healthy, and maintain an ageless look and vitality well into their golden years. They are less likely to succumb to chronic disease and are generally happier in their daily lives, owing in no small part to their mindset and daily habits.These strategies are the foundation of the Norbekov Method, an approach that has helped millions of people worldwide get control of their health, overcome chronic conditions, gain confidence, and evolve into the ideal version of themselves. What Results Can I Expect?Optimal results are achieved through daily practice. Most people experience a noticeable improvement in mood and motivation immediately.Here are a few benefits you can expect after completing this course:Improve Cardiovascular System. Improve your Vision Hearing.Improve Urological and Gynecological Systems. Skin Condition.Optimize Endocrine Function. Emotional Regulation. Drawing from Sufi mysticism, martial arts, and Eastern medicine, Dr. Norbekov developed his system to solve today's most common stress-related problems, empowering people to engage the power within to heal their mind, body, and spirit.Awaken inner organic technology to heal chronic disease and rejuvenate all body functions.Learn ancient Eastern techniques to master conscious self-regulation of body, mind, and spiritual systems.Develop essential daily habits to become the best version of yourself, improve your relationships, and achieve your most cherished goals. Overview Section 1: Introduction Lecture 1 Disclaimer Section 2: Day One Lecture 2 Let's begin with basics. Lecture 3 Joint Exercises Lecture 4 Day One Section 3: Final Practices for Day One Lecture 5 Liver and Kidneys, a Postmark by a window exercise, and Home work. Section 4: Day Two Lecture 6 Who is the founder of the system? Lecture 7 Day Two. You are own professor and you are own student. Let's proceed. Lecture 8 Day Two (Part Two) Section 5: Day Three Lecture 9 New Practices. Gynecological Urological Auto-Massage Lecture 10 Articular Gymnastics Lecture 11 Day Three. New Practices. Section 6: Day Four Lecture 12 Day Four Part One Lecture 13 Articular Gymnastics Section 7: Day Four (Part Two) Lecture 14 Part Two Section 8: Day Five Lecture 15 Image of Youth and Perfection Lecture 16 Articular Gymanstics Lecture 17 Day Five Second Part Section 9: Day Six Lecture 18 Octava Lecture 19 Eye Exercise, Octave Section 10: Day Seven Lecture 20 Day Seven. Parents Section 11: Day Eight Lecture 21 Day Eight Part One Lecture 22 Articular Gymnastics Lecture 23 Day Eight Part Two. Vision Correction, Trefoil Exercise Section 12: Day Nine Lecture 24 Day Nine Part One Section 13: Day Ten Lecture 25 Final Day Ten. Failing vision, hearing, and strength are just a few of the concerns addressed by the Norbekov Method, an approach that engages the body's innate healing capacity through simple exercises you can perform anywhere. 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Free Download Udemy - Genai Revolution Transform R&D With Cutting-Edge Ai Tools Published 5/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 1.93 GB | Duration: 3h 5m Master generative AI for prototyping, optimization, data generation, and breakthrough innovation in research workflows What you'll learn Master core generative AI models including GANs and VAEs for research applications Implement synthetic data generation techniques to enhance R&D experimentation and testing Design and optimize prototypes using AI-driven approaches for faster product development cycles Apply AI tools for solving complex research problems and accelerating discovery processes Create AI-powered simulations and predictive models for scientific research Integrate generative AI with existing research infrastructures and workflows Navigate ethical considerations and challenges in AI-powered research environments Leverage emerging AI technologies to drive innovation and cross-disciplinary collaboration Requirements Basic understanding of machine learning concepts (no advanced math required) Familiarity with research or product development processes in any field Computer with internet connection capable of running web-based AI tools No coding experience needed - practical tools and platforms will be introduced Open mindset toward adopting AI technologies in research workflows Description Harness the transformative power of Generative AI to revolutionize your research and development processes in this comprehensive, practical course. Whether you're a scientist, engineer, product developer, or R&D professional, this course will equip you with the skills to leverage AI as a powerful accelerator for innovation.From fundamental concepts to advanced applications, you'll learn how generative models can create synthetic data, optimize designs, automate experimentation, and solve complex research challenges across industries. Through practical examples and real-world case studies, you'll discover how leading organizations are already using these technologies to dramatically reduce development cycles and uncover breakthrough insights.This course breaks down complex AI concepts into accessible modules, covering essential technologies like GANs and VAEs while focusing on practical implementation in R&D contexts. You'll explore how AI tools enhance data generation, prototype creation, optimization, and innovation-all with clear guidance on ethical implementation and future trends.By the end of this journey, you'll possess a robust toolkit of AI-powered research approaches that can be immediately applied to your work. You'll understand how to integrate generative AI with existing research infrastructures and navigate potential challenges, positioning yourself at the forefront of AI-enabled discovery and innovation.Join the AI research revolution and transform how you approach complex R&D problems with this action-oriented course designed for real-world impact. Overview Section 1: Introduction Lecture 1 Introduction Lecture 2 Overview of Generative AI Lecture 3 The role of Generative AI across industries Lecture 4 Generative AI tools and platforms Lecture 5 What learners can expect from the course Section 2: AI Basics: Core Concepts and Technologies Lecture 6 Machine learning and deep learning fundamentals Lecture 7 Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs) Lecture 8 Application in R&D workflow Section 3: Generative AI for Data Generation and Augmentation Lecture 9 Generation of synthetic data for research Lecture 10 Data augmentation and addressing data imbalances Lecture 11 Generating realistic data using GANs and VAEs Lecture 12 Implementing data augmentation in R&D scenarios Section 4: Prototype Creation with Generative AI Lecture 13 Designing and testing prototypes in product development Lecture 14 AI-driven design enhancement Lecture 15 Concept generation and iterations Lecture 16 Case studies: AI-generated designs in engineering and manufacturing Lecture 17 Collaborative design with AI Section 5: AI for Optimization in R&D Lecture 18 Optimizing product designs and engineering processes Lecture 19 Advancing manufacturing through smart engineering Section 6: Problem-Solving and Innovation with AI in R&D Lecture 20 AI-driven problem-solving in different contexts Lecture 21 AI's role in accelerating innovation cycles and discovery Lecture 22 Best practices for leveraging AI for research Section 7: AI in Scientific Research and Experimentation Lecture 23 How AI assists in hypothesis generation and testing Lecture 24 AI in materials science for discovering new compounds and materials Lecture 25 AI for genomics and drug discovery Lecture 26 Automating data analysis with AI tools Lecture 27 AI-powered collaborative research Section 8: AI in Simulation and Modeling for R&D Lecture 28 Creating simulations and predictive models in R&D Lecture 29 Physical processes and outcomes prediction Lecture 30 Exploring the integration of AI in computational modeling and simulations Lecture 31 System modeling and optimization in R&D Section 9: Ethical Considerations and Challenges in AI-Powered Research Lecture 32 Bias, transparency, and accountability in AI models Lecture 33 Potential risks of AI in R&D Lecture 34 Challenges in integrating AI into research workflows Lecture 35 Strategies for addressing ethical challenges in AI-powered research Section 10: Challenges in Implementing Generative AI in R&D Lecture 36 Data quality issues, model accuracy, and computational limitations Lecture 37 Integration of AI tools with existing research infrastructures Lecture 38 Cost efficiency and scalability Section 11: Emerging Trends and Future Directions of AI in R&D Lecture 39 Generative AI in research and innovation Lecture 40 Emerging AI technologies in R&D Lecture 41 Next-gen AI tools and platforms for R&D Lecture 42 Impact of AI on cross-disciplinary collaboration in R&D Section 12: Conclusion and Key Takeaways Lecture 43 Recap of key concepts Lecture 44 Evolving role of AI in research and development Lecture 45 Tools and resources for continued learning and exploration of Generative AI Lecture 46 Staying connected through communities Lecture 47 Conclusion R&D professionals seeking to modernize their research toolkit with AI capabilities,Engineers and scientists looking to accelerate discovery and innovation cycles,Product developers interested in AI-powered design and prototyping,Research managers wanting to implement AI strategies in their teams,Technology enthusiasts curious about practical applications of generative AI,Industry professionals from pharmaceuticals, materials science, manufacturing, or engineering Homepage https://www.udemy.com/course/genai-revolution-transform-rd-with-cutting-edge-ai-tools/ Rapidgator Links Download https://rg.to/file/b84e2c3de4f3a41ba7e471b8ba69a64d/wfuue.Genai.Revolution.Transform.RD.With.CuttingEdge.Ai.Tools.part1.rar.html https://rg.to/file/d8d36664c4e2921af545635af31feb87/wfuue.Genai.Revolution.Transform.RD.With.CuttingEdge.Ai.Tools.part2.rar.html Fikper Links Download https://fikper.com/N9DRbj6Xne/wfuue.Genai.Revolution.Transform.RD.With.CuttingEdge.Ai.Tools.part1.rar.html https://fikper.com/oSAuXusKJE/wfuue.Genai.Revolution.Transform.RD.With.CuttingEdge.Ai.Tools.part2.rar.html No Password - Links are Interchangeable

Free Download Udemy - Functional Foundation Of Enterprise Resource Planning (Erp) Last updated 1/2025 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 2.72 GB | Duration: 3h 35m Gain Functional knowledge on business flows on SCM, Manufacturing at ease without any exposure to functional domain. What you'll learn Difference between Cloud and On Premise ERP application. Different Cloud platform such as - Software as Service, Platform as Service and Infrastructure as service. ERP Functional Business flow on SCM, Manufacturing, General Ledger Get an understanding about ERP business flow - such as Procure to Pay , Order to cash, Inventory to fulfilment , accounting to GL Requirements No experience or knowledge required. Description For anyone interested to learn any ERP product there are 2 steps. Functional knowledge of specific domain - like supply chain, manufacturing, finance etc. ERP product specific knowledge, which is required towards setup & configuring the product based on business needs.Generally the functional knowledge is considered as a prerequisite to learn ERP.It is recommended couple of years of experience one need to have in the industry towards gaining functional knowledge post which one can learn & become an expert in ERP.But, what if any one new or a college fresher wishes to acquire this functional knowledge by going through a course?. This is where you would hardly find a course which will cater this need. So this course is designed in such a way it provides you with the core business functional knowledge on SCM, Manufacturing & Finance(though it does not teach accounting concepts).The course covers following topics:•Real life mapping to ERP•Business Models • What are different Business models • Business flows in ERP • Different well known ERP vendors•What is cloud? • Cloud vs On-premise real life example • Cloud model - Difference and deployment.•Understanding core business flows in ERP • Order to Cash business flow •Overview on drop ship•Inventory to fulfilment flow •ABC analysis, BOM, WIP, Cost Management.•Procure to Pay business flow•Accounting flow to GL.Happy Learning Overview Section 1: Course Overview - Topics of coverage Lecture 1 Topics of course coverage Section 2: Real Life mapping to ERP Lecture 2 Real Life mapping to ERP Section 3: Business Models, Business Flows to Enterprise Resource Planning Lecture 3 What are different Business Models? Lecture 4 Different Business flow in ERP Lecture 5 Different well known ERP vendors Section 4: What is Cloud? Lecture 6 Cloud Vs On-Premise real life example Lecture 7 Cloud models - Difference & Deployments Section 5: Supply Chain Planning Business flow Lecture 8 Supply Chain Planning Business Flow - An Overview Section 6: Order to Cash Business flows Lecture 9 Customer & Profiling Lecture 10 Oracle to Cash Business flow Lecture 11 Drop Shipment and Blanket sales agreement Section 7: Inventory to fulfilment - An overview Lecture 12 Inventory to fulfilment - An Overview Lecture 13 Whats an Item attribute & its importance. Lecture 14 ABC Analysis Lecture 15 Bill of materials, WIP & Cost management - An Overview Section 8: Procure to Pay - An overview Lecture 16 Procure to Pay Business flow - An Overview Lecture 17 Sourcing Concepts Section 9: Accounting flow to General Ledger Lecture 18 Accounting flow to General Ledger Lecture 19 Asset to General Ledger Lecture 20 Projects to General Ledger - An overview Section 10: Demonstration of Small-Medium ERP - Odoo - Key Business concepts & flows Lecture 21 Chart of Accounts - in Odoo ERP Lecture 22 Simple Journal Entry & Posting in Accounting Lecture 23 Simple Procure to Pay process in ERP- Odoo - Demonstration Lecture 24 Simple Order to Cash process in Odoo ERP - Demonstration Section 11: Bonus Lecture Lecture 25 Bonus Lecture Folks looking for a career in ERP field Homepage https://www.udemy.com/course/functional-foundation-of-enterprise-resource-planning-erp/ Rapidgator Links Download https://rg.to/file/97c9d9f48933475b094257701f38f365/rftyc.Functional.Foundation.Of.Enterprise.Resource.Planning.Erp.part2.rar.html https://rg.to/file/ba5e4734732f17b94ee3769a13efa170/rftyc.Functional.Foundation.Of.Enterprise.Resource.Planning.Erp.part3.rar.html https://rg.to/file/d714524c791e134a0b049793100ad29b/rftyc.Functional.Foundation.Of.Enterprise.Resource.Planning.Erp.part1.rar.html Fikper Links Download https://fikper.com/2apxT6siqQ/rftyc.Functional.Foundation.Of.Enterprise.Resource.Planning.Erp.part2.rar.html https://fikper.com/757DeqyreJ/rftyc.Functional.Foundation.Of.Enterprise.Resource.Planning.Erp.part3.rar.html https://fikper.com/XXHH16ZX5d/rftyc.Functional.Foundation.Of.Enterprise.Resource.Planning.Erp.part1.rar.html No Password - Links are Interchangeable

Free Download Udemy - Full-Stack Development and DevSecOps - Course 1 Published 5/2025 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 1h 24m | Size: 647 MB Team Building and Project Management What you'll learn Needs Framing: Identify core problems and scope projects. Design Phase: Create functional & technical blueprints. Implementation: Develop and test solutions efficiently. Validation: Onboard users and gather feedback. Training: Equip teams/clients for long-term success. Maintenance: Update and scale systems post-deployment. Case Study: Analyze a real-world project example. Requirements Basic understanding of project management or software development. No advanced tools required. Open mindset for iterative problem-solving! Description This comprehensive course is your complete guide to delivering successful projects, whether you're a beginner or a seasoned professional looking to refine your skills. You'll learn a structured, step-by-step approach to managing every phase of a project-starting with problem-framing and scope definition, where you'll identify core needs and set clear objectives. Next, you'll discover how to translate requirements into functional and technical designs, ensuring alignment between stakeholders and development teams.As you progress, the course dives into implementation best practices, teaching you how to build robust, scalable solutions while avoiding common pitfalls. You'll then explore customer onboarding and validation, learning proven techniques to gather feedback, refine deliverables, and ensure your solution meets real-world needs.Beyond launch, the course covers effective training and knowledge transfer, empowering users and teams to adopt new systems seamlessly. You'll also master maintenance and evolution strategies, so your projects remain sustainable and adaptable over time.To solidify your learning, a real-world case study walks you through applying these principles in practice, from initial challenges to measurable success. By the end, you'll have the confidence and tools to lead projects that deliver lasting value-on time, within scope, and aligned with user needs.Enroll now and take the first step toward becoming a proficient project delivery expert! Who this course is for This comprehensive course guides you through the complete lifecycle of project delivery, from initial problem-framing to long-term maintenance and real-world case studies. Designed to provide a solid foundation for those of you who are new to these concepts, or those looking to refresh their understanding. Homepage https://www.udemy.com/course/full-stack-development-and-devsecops-course-1/ Rapidgator Links Download https://rg.to/file/9186fd05bedc0cec18fc8187fd0fe5d0/xcvec.FullStack.Development.and.DevSecOps..Course.1.rar.html Fikper Links Download https://fikper.com/fCTNPC5ENN/xcvec.FullStack.Development.and.DevSecOps..Course.1.rar.html No Password - Links are Interchangeable

Free Download Udemy - Full Stack Data Science with GenAI Published 5/2025 Created by Tushar kanta Mahuri MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Beginner | Genre: eLearning | Language: English | Duration: 18 Lectures ( 4h 42m ) | Size: 1.9 GB Master Data Science & Generative AI from Scratch - Build Real-World Projects Step by Step What you'll learn Understand the complete Data Science workflow - from data collection to deploying models. Write Python code for data analysis, visualization, and machine learning. Build and evaluate Machine Learning models using real-world datasets. Learn how to structure your resume and stand out to employers in the data science job market. Requirements A computer with internet access (Windows, Mac, or Linux). Basic understanding of how to use a computer (opening files, installing software, etc.). Curiosity and a willingness to learn - that's the most important part! Description Welcome to "Full Stack Data Science with GenAI - Learn by Building Projects" - the only beginner-friendly course that takes you from zero to job-ready in Data Science and Generative AI through real-world, hands-on projects.Whether you're a complete beginner or someone looking to switch careers, this course is designed to make complex topics simple and practical. We focus on "learning by doing" - no endless theory, no fluff. Just real skills, built step-by-step.What Makes This Course Unique?Project-Based Learning - Build real data science and AI applications as you learnCovers Both Traditional ML and Modern GenAI - Get ahead in today's job marketBeginner Friendly - No prior experience in programming, math, or data science neededCareer-Focused - Includes resume tips and guidance to land your first data jobWhat You'll LearnData science fundamentals and workflowsPython programming for data analysis and MLKey math and statistics concepts for data scienceData cleaning, EDA, and feature engineeringSupervised and unsupervised machine learningReal-world projects for your portfolioGenerative AI (GenAI) and Agentic AI conceptsBuilding GenAI applications like text and image generatorsResume building and interview tips to get job-readyCourse ModulesIntro to Data Science & GenAIPython for Data ScienceMath for Data ScienceData Collection & CleaningEDA & Feature EngineeringSupervised Learning (with Projects)Unsupervised Learning (with Projects)Real-World ProjectsGenAI & Agentic AIGenAI ProjectsResume BuildingTips to Get Interview CallsWho Is This Course For?Absolute beginnersStudents or professionals wanting to learn data scienceTech enthusiasts exploring GenAICareer switchers aiming for data/AI rolesAnyone who prefers hands-on learning with real projectsTools & Technologies UsedPython, Pandas, NumPy, Matplotlib, Scikit-learnGenAI tools (like OpenAI APIs, Hugging Face, or similar)Jupyter Notebooks, Google ColabBasic deployment tools (optional)By the end of this course, you'll not only understand the full data science pipeline - you'll have built and deployed projects that prove it.Let's get started - enroll now and begin your data science journey! Who this course is for Beginners who want to start a career in Data Science or AI - no prior experience needed. Students looking to learn data science in a practical, project-based way. Professionals and career switchers aiming to move into data roles. Anyone who prefers learning by building real projects instead of watching theory-heavy lectures. Homepage https://www.udemy.com/course/full-stack-data-science-with-genai/ AusFile https://ausfile.com/k3gy5565ugwx/zuixp.Full.Stack.Data.Science.with.GenAI.part2.rar.html https://ausfile.com/w9by413yras0/zuixp.Full.Stack.Data.Science.with.GenAI.part1.rar.html Rapidgator Links Download https://rg.to/file/08433a532cb481fee118957759187daa/zuixp.Full.Stack.Data.Science.with.GenAI.part1.rar.html https://rg.to/file/ca73a7705e1a57a498399924d667c1dd/zuixp.Full.Stack.Data.Science.with.GenAI.part2.rar.html Fikper Links Download https://fikper.com/JZ8ot8fldd/zuixp.Full.Stack.Data.Science.with.GenAI.part1.rar.html https://fikper.com/OMPYinUog4/zuixp.Full.Stack.Data.Science.with.GenAI.part2.rar.html No Password - Links are Interchangeable