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Free Download Udemy - Abaqus Welding simulation Masterclass No Code to Subroutine Published 5/2025 Created by FEA MASTER MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 23 Lectures ( 1h 38m ) | Size: 1.1 GB Master welding simulation in Abaqus CAE using finite element analysis-start with no-code FEA, end with DFLUX subroutines What you'll learn Simulate welding heat input in Abaqus using moving heat source techniques without any coding or subroutines. Apply element reactivation in Abaqus to simulate progressive weld bead formation during thermal analysis. Implement Gaussian and Goldak DFLUX subroutines to model laser and arc welding processes with precision. Predict and visualize post-welding residual stresses using step-by-step simulation workflows in Abaqus. Requirements Basic knowledge of finite element analysis (FEA) is recommended. You'll need Abaqus CAE installed (student or commercial version). No coding experience required for most sections-subroutines are explained step-by-step. Description Looking to simulate welding in Abaqus the right way? Whether you're a student, researcher, or professional engineer, this course will teach you how to perform advanced finite element welding simulations step by step-starting from a no-code setup and progressing to custom DFLUX subroutines.This is the most complete and structured Abaqus welding simulation masterclass available online. It covers the full workflow, from beginner-friendly heat source modeling to advanced thermal simulations using user subroutines.You'll start with a clean, code-free model in Abaqus CAE, learning how to simulate a moving heat source without writing any FORTRAN or using complex inputs. Then, you'll use the element reactivation technique to simulate the stepwise deposition of weld material, just like real welding sequences.After that, you'll take your skills to the next level with two powerful DFLUX-based methods: Gaussian heat input - ideal for laser welding simulationsGoldak double ellipsoid - widely used in arc welding simulationsYou'll implement and run these subroutines in Abaqus Standard, with full explanations of every line of code.Finally, the course shows you how to predict and visualize residual stresses after welding using a realistic thermal-mechanical setup. What's Included:Full model setup in Abaqus CAESubroutine walkthroughs (Gaussian & Goldak)Downloadable input files for each lessonClear explanations of FEA principles, heat transfer, and thermal boundary conditionsHigh-quality voice, visuals, and editing-no filler, no fluff You Will Learn:How to simulate welding in Abaqus using finite element analysis (FEA)How to model moving heat sources without codingHow to use element reactivation for weld progressionHow to write and apply DFLUX subroutinesHow to simulate and analyze residual stresses after weldingHow to structure real-world thermal simulation workflowsWhether you're preparing a thesis, conducting academic research, or solving real-world welding challenges, this course will give you the tools, confidence, and understanding to do it all-inside Abaqus.All lessons are taught in clear, structured steps, with full support files and workflows you can apply to your own projects immediately. Who this course is for This course is for engineering students, researchers, and FEA professionals who want to simulate welding processes using Abaqus. It's ideal for anyone working on thermal simulations, residual stress prediction, or learning how to use DFLUX subroutines like Gaussian and Goldak for welding analysis. Beginners are welcome-especially those looking for a structured, clean, and real-world-focused Abaqus simulation workflow. Homepage https://www.udemy.com/course/abaqus-welding-simulation-masterclass-no-code-to-subroutine/ Rapidgator Links Download https://rg.to/file/2ca9fa3fb0f53966fcd2e2537c3f649f/lndyk.Abaqus.Welding.simulation.Masterclass.No.Code.to.Subroutine.part1.rar.html https://rg.to/file/5af83729eea249d4418abe8d3e05783f/lndyk.Abaqus.Welding.simulation.Masterclass.No.Code.to.Subroutine.part2.rar.html Fikper Links Download https://fikper.com/ICL2HbTa7M/lndyk.Abaqus.Welding.simulation.Masterclass.No.Code.to.Subroutine.part2.rar.html https://fikper.com/dFew6mfZjM/lndyk.Abaqus.Welding.simulation.Masterclass.No.Code.to.Subroutine.part1.rar.html No Password - Links are Interchangeable

Free Download Udemy - AZ-305 Azure Solutions Architect Expert Last updated 11/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 7.03 GB | Duration: 19h 32m Design and Implement Azure solutions What you'll learn Configure intersite connectivity solutions like VNet Peering, and virtual network gateways. Secure identities with Azure Active Directory and users and groups. Implement identity solutions spanning on-premises and cloud-based capabilities Apply monitoring solutions for collecting, combining, and analyzing data from different sources. Manage subscriptions, accounts, Azure policies, and Role-Based Access Control. Administer Azure App Service, Azure Container Instances, and Kubernetes. And more... Requirements An understanding of virtualization An understanding of TCP/IP networking An understanding of Active Directory Domain Services (AD DS) Prior experience with Azure or have taken the Azure Administrator: AZ-103/AZ-104 course Description The AZ-305: Azure Solutions Architect Expert course is for students that are becoming subject matter experts in designing cloud and hybrid solutions that run on Microsoft Azure, including compute, network, storage, monitoring, and security.Responsibilities for this role include advising stakeholders and translating business requirements into designs for secure, scalable, and reliable Azure solutions.An Azure solutions architect partners with developers, administrators, and other roles responsible for implementing solutions on Azure.Course topics include:Planning and AssessmentsYou will learn about Azure Governance and PlanningLessonsLanding ZonesAzure AssessmentsGovernanceManagement GroupsManaging Multiple SubscriptionsResource GroupsResource TaggingResource Tagging and Naming ConventionsImplement VMs for Windows and LinuxYou will learn about Azure virtual machines including planning, creating, availability and extensions.LessonsSelect Virtual Machine SizeConfigure High AvailabilityImplement Azure Dedicated HostsDeploy and Configure Scale SetsConfigure Azure Disk EncryptionAfter completing this module, students will be able to:Plan for virtual machine implementations.Create virtual machines.Configure virtual machine availability, including scale sets.Understand High Availability options for VMs in AzureAutomate Deployment and Configuration of ResourcesYou will learn about the tools an Azure Administrator uses to manage their infrastructure. LessonsAzure Resource Manager TemplatesSave a Template for a VMEvaluate Location of New ResourcesConfigure a Virtual Hard Disk TemplateDeploy from a TemplateCreate and Execute an Automation RunbookAfter completing this module, students will be able to:Leverage Azure Resource Manager to organize resources.Use ARM Templates to deploy resources.Create and Execute an Automation RunbookDeploy an Azure VM from a VHDUnderstand Azure encryption technologiesImplement Virtual NetworkingYou will learn about basic virtual networking concepts like virtual networks and subnetting, IP addressing, network security groups, Azure Firewall, and Azure DNS.LessonsVirtual Network PeeringImplement VNet PeeringAfter completing this module, students will be able to:Connect services with Virtual Network PeeringConfigure VNet PeeringModify or delete VNet Peering Implement Load Balancing and Network SecurityYou will learn about network traffic strategies including network routing and service endpoints, Azure Load Balancer, Azure Application Gateway, and Traffic Manager.LessonsImplement Azure Load BalancerImplement an Application GatewayUnderstand Web Application FirewallImplement Azure FirewallImplementing Azure Traffic ManagerImplement Network Security Groups and Application Security GroupImplement Azure BastionAfter completing this module, students will be able to:Select a Load Balancer solutionConfigure Application GatewayImplement Azure FirewallUnderstand Traffic Manager routing methodsConfigure Network Security Groups (NSGs)Implement Storage AccountsYou will learn about basic storage features including storage accounts, blob storage, Azure files and File Sync, storage security, and storage tools.LessonsStorage AccountsBlob StorageStorage SecurityManaging StorageAccessing Blobs Configure Azure Storage Firewalls and Virtual NetworksAfter completing this module, students will be able to:Understand Storage Account services and typesConfigure Blob storage, accounts, containers, and access tiersImplement Shared Access SignaturesUnderstand Azure Storage firewalls and virtual networksImplement Azure Active DirectoryYou will learn how to secure identities with Azure Active Directory, and implement users and groups.LessonsOverview of Azure Active DirectoryUsers and GroupsDomains and Custom DomainsAzure AD Identity ProtectionImplement Conditional AccessConfigure Fraud Alerts for MFAConfigure Trusted IPsConfigure Guest Users in Azure ADAfter completing this module, students will be able to:Add Guest Users to Azure ADConfigure Location Condition ConfigurationConfigure Azure MFA settingsImplement Conditional Access Azure MFA Implement and Manage Azure GovernanceYou will learn about managing your subscriptions and accounts, implementing Azure policies, and using Role-Based Access Control.LessonsCreate Management Groups, Subscriptions, and Resource GroupsOverview of Role-Based Access Control (RBAC)Role-Based Access Control (RBAC) RolesAzure AD Access ReviewsImplement and Configure an Azure PolicyAzure BlueprintsAfter completing this module, students will be able to:Understand Resource GroupsUnderstand how RBAC worksCreate an Azure AD access reviewCreate and manage policies to enforce complianceCreate a BlueprintImplement and Manage Hybrid IdentitiesYou will learn how to install and configure Azure AD Connect and implement Azure AD Connect Health.LessonsInstall and Configure Azure AD ConnectConfigure Password Sync and Password WritebackConfigure Azure AD Connect HealthAfter completing this module, students will be able to:Implement Azure AD seamless Single Sign-OnPerform an Azure AD Connect installationImplement Azure AD Connect HealthManage Workloads in AzureYou will learn how to perform Azure Backup and Azure Site Recovery.LessonsImplement Azure BackupAzure to Azure Site RecoveryImplement Azure Update ManagementAfter completing this module, students will be able to:Understand Azure VM backup architectureManage updates and patches for Azure VMsImplement Cloud Infrastructure MonitoringYou will learn about Azure Monitor, Azure Workbooks, Azure Alerts, Network Watcher, Azure Service Health, Azure Application Insights.LessonsAzure Infrastructure Security MonitoringAzure MonitorAzure WorkbooksAzure AlertsLog AnalyticsNetwork WatcherAzure Service HealthMonitor Azure CostsAzure Application InsightsUnified Monitoring in AzureManage Security for ApplicationsYou will learn about Azure Key Vault and implementing authentication using Azure Managed Identities.LessonsAzure Key VaultAzure Managed IdentityAfter completing this module, students will be able to:Explain Key Vault uses such as secrets, key, and Certificate managementUse Managed Identities with Azure resourcesImplement an Application InfrastructureYou will learn how to create an App Service web App for Containers, create and configure an App Service Plan, and create and manage Deployment Slots.LessonsCreate and Configure Azure App ServiceCreate an App Service Web App for ContainersCreate and Configure an App Service PlanConfigure Networking for an App ServiceCreate and Manage Deployment SlotsImplement Logic AppsImplement Azure FunctionsAfter completing this module, students will be able to:Configure an Azure App ServiceCreate an App Service PlanCreate a Workflow using Azure Logic AppsCreate a Function App Implement Container-Based ApplicationsYou will learn how to run Azure Container instances and how to deploy Kubernetes with AKS.LessonsAzure Container InstancesConfigure Azure Kubernetes ServiceAfter completing this module, students will be able to:Run Azure Container instancesDeploy Kubernetes with AKSImplement NoSQL DatabasesYou will learn about Azure CosmsoDB.LessonsConfigure CosmosDB APIsAfter completing this module, students will be able to:Understand options for Azure Cosmos DBUnderstand high availability using CosmosDBImplement Azure SQL DatabasesYou will create an Azure SQL Database single database, create an Azure SQL Database Managed Instance, and review high-availability and Azure SQL database.LessonsConfigure Azure SQL Database SettingsImplement Azure SQL Database Managed InstancesHigh-Availability and Azure SQL DatabaseAfter completing this module, students will be able to:Create an Azure SQL Database single databaseCreate an Azure SQL Database Managed InstanceRecommend high-availability architectural models used in Azure SQL DatabasePlan an Azure MigrationYou will review the cloud adoption framework, plan a checklist for Azure migrations. 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Free Download Udemy - AWS PartyRock Create AI Application In Minutes (No Coding) Published 5/2025 Created by Timotius Pamungkas MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English + subtitle | Duration: 18 Lectures ( 51m ) | Size: 400 MB Create & Customize AI Powered Application: Prompt, Widget, Publish, in Easy Way And Free (Beginner Friendly) What you'll learn Understand PartyRock as a no-code AI application builder that allows anyone to create AI apps through simple English instructions Learn the three methods of creating AI apps in PartyRock: starting with prompts, remixing existing apps, or building from scratch Explore PartyRock's widget system and how these components work together to create functional AI applications Learn how to customize AI responses through well-structured prompts and widget configurations Understand the concept of effective prompting - how to communicate with AI clearly to get desired results Requirements Familiar with English (as PartyRock currently works well with English) PartyRock is very easy to learn. You just need to be willing to learn (for about one hour) Description Create Amazing AI Apps Without Writing a Single Line of Code!Ever wanted to build your own AI applications but felt intimidated by coding? Say hello to PartyRock, your new best friend in the world of AI app creation! In this engaging course, you'll discover how to transform your ideas into working AI applications in just minutes - no technical background required!What You'll Learn:The magic of PartyRock and how it makes AI app creation accessible to everyoneThree different ways to create apps: prompting, remixing, and building from scratchHow to write effective prompts that get the best results from AIPractical tips for building useful AI applicationsReal-world examples and hands-on projectsWhy This Course Is Awesome:Zero Coding Required: Whether you're a teacher, student, business professional, or just curious about AI, this course is designed for you! No programming experience needed.Practical and Hands-on: We'll walk through real examples, including creating a smart dinner recipe generator and a document processor that can summarize content and create presentations.Quick Results: Learn how to go from idea to working application in minutes, not weeks or months.What Makes This Course Different:Instead of drowning you in technical jargon, we focus on practical, real-world applications. You'll learn by doing, and we'll show you how to avoid common pitfalls while making the most of PartyRock's capabilities.Prerequisites: None - just bring your creativity and ideas!Course Highlights:Understanding PartyRock's capabilities and limitationsChoosing the right approach for your projectCreating effective AI promptsWorking with widgets and building interfacesTips for getting the best results from your AI applicationsPerfect For:Educators looking to bring AI into the classroomProfessionals wanting to boost productivityEntrepreneurs testing new ideasAnyone curious about creating an AI-powered applicationBy the end of this course, you'll be confident in:Creating your own AI applicationsChoosing the best approach for different projectsWriting effective prompts for generating an AI applicationBuilding useful tools for your specific needsWhile PartyRock has some limitations, it's an incredible tool for learning, prototyping, and creating useful AI applications quickly and easily.Join us on this exciting journey into the world of AI application creation - zero coding required! Let's turn your ideas into reality with PartyRock! Who this course is for Everyone who wants to quickly create an AI application. No prior knowledge or skills required. Homepage https://www.udemy.com/course/beginner-aws-partyrock-create-ai-application-in-minutes-zero-coding/ Rapidgator Links Download https://rg.to/file/eb51172053f1c94d068d891e43803a35/xuxzq.AWS.PartyRock.Create.AI.Application.In.Minutes.No.Coding.rar.html Fikper Links Download https://fikper.com/tSVF9EfGbV/xuxzq.AWS.PartyRock.Create.AI.Application.In.Minutes.No.Coding.rar.html No Password - Links are Interchangeable

Free Download Udemy - AWS CodePipeline Step by Step Last updated 5/2025 Created by Emre Yilmaz • AWS Certified DevOps Engineer • Solutions Architect MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English + subtitle | Duration: 69 Lectures ( 10h 42m ) | Size: 4.73 GB Learn AWS CodePipeline with GitHub, CodeBuild, CodeDeploy, and DevOps-CI/CD on AWS from an AWS certified expert! What you'll learn Create CI/CD pipelines using AWS CodePipeline to automate your deployments to Amazon EC2, ECS and S3. Use GitHub repositories, AWS CodeBuild, AWS CodeDeploy with AWS CodePipeline. Learn AWS CodeDeploy in-place all-at-once, rolling and blue-green deployments with EC2 auto scaling and load balancing. Build your Docker images With CodeBuild and deploy them to ECS as rolling deployments with CodePipeline. Use AWS CloudFormation with AWS CodePipeline to create and delete stacks automatically in each execution. Configure manual approval actions and pipeline notifications on your pipelines. View AWS CodeBuild build logs and AWS CodeDeploy deployment logs. Understand how AWS CodePipeline works in detail. Requirements Intermediate-level AWS knowledge. It is recommended to have hands-on experience in manual deployments on AWS. Basic Git knowledge and experience in using Git commands from the command line. An AWS account which you have administrator privileges. Using an AWS free-tier eligible one is recommended. But there may be slight costs while doing the examples. Not required, but basic YAML knowledge is recommended for some CodeBuild and CodeDeploy lectures. We use Linux instances in examples. Hence, basic Linux knowledge is recommended. A GitHub account for private Git repositories to trigger pipelines. Description August 2024 Update: Because AWS CodeCommit was deprecated by AWS, we replaced it with GitHub in Sections 2 and 3!Would you like to automate your software deployment process on AWS?Welcome to learn how to create CI/CD pipelines with AWS CodePipeline and automate your deployments to S3, EC2, and ECS from a senior AWS-certified DevOps engineer. You will learn with hands-on examples and detailed explanations!In this course, you will learn AWS CodePipeline step by step:Begin with AWS CodePipeline basics by creating a pipeline between two Amazon S3 buckets as the source and deploy locations.Trigger your pipelines on CodePipeline using GitHub repositories and Git pushes.Build and test your code automatically with AWS CodeBuild in each pipeline execution. Understand how Code Build works with AWS CodePipeline.Integrate AWS CodeDeploy with AWS CodePipeline to deploy to Amazon EC2 instances. You will start with a single instance and proceed with multiple instances behind auto-scaling and load balancing. You will also learn different AWS Code Deploy deployment types and configurations, such as in-place rolling and blue-green.Use AWS CloudFormation with AWS CodePipeline to create and delete stacks automatically in each pipeline execution. You will also learn to define manual approval actions and configure pipeline notifications.Learn to build your Docker images with AWS CodeBuild and AWS CodePipeline and deploy them to Amazon ECR or Docker Hub automatically. Deploy your Docker containers to Amazon ECS as rolling deployments using the direct integration of AWS Code Pipeline with Amazon ECS.You will also learn how to check your build and deployment logs in case of failures with examples.What will you achieve after this course?✓ You will understand how AWS CodePipeline works in detail.✓ You will be able to create pipelines on CodePipeline triggered from private GitHub repositories.✓ You will be able to use AWS Code Pipeline with other AWS developer tools, AWS CodeBuild, and AWS CodeDeploy, to create your CI/CD pipelines.✓ You will be able to replace your manual deployment processes with automation to avoid human errors and minimize deployment failures.✓ You will be able to apply one of the core practices of DevOps, Continuous Integration / Continuous Deployment / Continuous Delivery, in your projects on AWS.Why learn from me?✓ AWS verified my knowledge and experience at the top level. I am a senior AWS consultant holding AWS Certified Solutions Architect - Professional and AWS Certified DevOps Engineer - Professional certifications in addition to three core Associate-level AWS certificates.✓ I have a software engineering background, a BS degree in Computer Engineering, and more than 17 years of professional experience in corporates and startups.✓ I have been using AWS since 2013. I have built dozens of CI/CD pipelines on AWS using AWS Code Pipeline, AWS CodeBuild, and AWS CodeDeploy for my clients and projects.✓ I learned by doing, and I teach both theory and practice according to the AWS best practices. I explain the features with hands-on examples and why to use them with advantages and disadvantages. So you will benefit from my experience as well as my knowledge.Is this course for you?I designed this course for beginners to AWS CodePipeline and assume that you have no or little experience in it.This course is not for beginners of AWS. You should have intermediate-level AWS knowledge of core services.Although I provide hands-on examples during the lectures, you should have basic Git knowledge and experience using Git commands from the command line.I mostly use a basic Angular application in our practices, but you do not need to know Angular for them. We focus on AWS CodePipeline, not on any particular programming language or framework. The techniques taught in this course also apply to others.I recommend you watch the free previews before enrolling.Join this course and start learning AWS CodePipeline step by step with hands-on examples! Who this course is for Developers, system administrators or any AWS enthusiasts who would like to learn AWS CodePipeline to create their CI/CD workflows. Developers, system administrators or any AWS enthusiasts who deploy to Amazon EC2 or S3 and who would like to replace manual deployment processes with automation on AWS in order to avoid human errors. Developers, system administrators or any AWS enthusiasts who would like to minimize deployment failures on AWS. 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Free Download Udemy - AWS Cloud Computing Beginner to Industry-Ready Published 5/2025 Created by Vimal Daga MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 54 Lectures ( 19h 45m ) | Size: 10.3 GB Hands-On with AWS EC2, Lambda, S3, API Gateway, Cloud Watch, Serverless Architecture & Lot more What you'll learn Build and deploy serverless functions using AWS Lambda for event-driven computing. Learn key AWS services like EC2, S3, Lambda, API Gateway & lots more with hands-on usage. Deploy and manage virtual servers using AWS EC2 and understand compute provisioning Explore the Netflix case study: from DVDs to global streaming on AWS. Requirements No prior cloud or technical experience needed this course starts from absolute zero Description Are you completely new to cloud computing? This course is the perfect place to start your AWS journey, even if you have no background in tech. Guided by expert Mr. Vimal Daga, you'll learn the basics of cloud through an interesting real-life story: how Netflix moved from DVDs to streaming by using AWS (Amazon Web Services).You'll explore important cloud concepts like how virtual computers (EC2), serverless functions (Lambda), databases (RDS), and cloud storage (S3) work together to power modern applications. We'll explain things like RAM, CPU, and how software runs-not in complex terms, but in a way that makes sense. You'll also learn why companies are moving to the cloud: it's fast, flexible, reliable, and helps save money and effort.This isn't just a theory class you'll work on real examples and hands-on projects. You'll see how the cloud is used in AI, mobile apps, websites, and more. Most importantly, you'll build skills that companies actually look for, like how to solve real problems using AWS.By the end, you'll understand how cloud works and feel confident using AWS tools. 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Free Download Udemy - API Testing with Postman Beginner to Pro Published 5/2025 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 51m | Size: 320 MB Postman Essentials: Learn API Testing Without Coding, API Requests, Tests, Scripts and Mock Servers. What you'll learn Understand the basics of APIs and how they work Use Postman to send HTTP requests (GET, POST, PUT, DELETE, etc.) Analyze and interpret API responses using Postman Create and organize Postman collections for efficient API testing Use environment variables and global variables to manage test data Write test scripts using JavaScript for validation and automation Implement pre-request scripts to dynamically modify requests Automate test execution using the Collection Runner Integrate Postman with Newman for command-line test execution Apply real-world API testing scenarios in development and QA workflows Requirements Willingness or Interest to Learn about Postman for Success. 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.Unlock the power of API testing with Postman, the industry-leading tool used by developers, testers, and DevOps professionals around the world. Whether you're a complete beginner or looking to sharpen your API testing skills, this course is designed to take you from the fundamentals to advanced techniques, all in one practical, hands-on learning journey.You'll start by understanding what APIs are and why they are critical in today's software development landscape. Then, you'll dive into Postman and learn how to send API requests, analyze responses, and create organized collections for testing. As you progress, you'll explore how to use environment variables, scripting, pre-request scripts, and test assertions to automate and validate your API workflows.This course will also show you how to work with Postman features like Collection Runner, Newman CLI, monitors, mock servers, and public documentation. You'll learn how to debug APIs, chain requests, and build dynamic test suites that help you simulate real-world usage scenarios. Whether you're working in a small startup or a large enterprise, these skills will equip you to test and automate APIs with confidence.By the end of the course, you'll have built a solid foundation in Postman and will be able to write efficient, automated API tests that save time and increase the reliability of your applications. This course is packed with practical examples, hands-on exercises, and real-world use cases to ensure you gain the confidence and skills needed to apply Postman in your day-to-day development or testing workflow.No prior experience with APIs or Postman is required - just bring your curiosity, and by the end, you'll be comfortable using Postman like a pro.Thank you Who this course is for Beginners who want to learn API testing from scratch with no prior experience Software testers and QA professionals looking to enhance their API testing skills Developers who want to understand how to test and debug APIs efficiently Automation engineers interested in adding Postman to their testing toolkit Students and aspiring tech professionals preparing for real-world software projects Anyone working with APIs who wants to improve their testing, automation, and collaboration workflow Homepage https://www.udemy.com/course/api-testing-with-postman-beginner-to-pro/ Rapidgator Links Download https://rg.to/file/e1a687b706642312a7d2d26a394045d0/vokvm.API.Testing.with.Postman.Beginner.to.Pro.rar.html Fikper Links Download https://fikper.com/DROIcDQsXg/vokvm.API.Testing.with.Postman.Beginner.to.Pro.rar.html No Password - Links are Interchangeable

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Free Download Udemy - AI-Powered IT Operations and Infrastructure Published 5/2025 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 1h 41m | Size: 593 MB Harnessing Artificial Intelligence to Predict, Prevent, and Resolve Infrastructure Issues What you'll learn Understand the fundamentals of AI and its application in IT infrastructure management. Learn how to use AI tools to monitor infrastructure performance in real-time. Develop skills to predict potential failures using machine learning algorithms. Implement AI-driven automated responses to common infrastructure problems. Analyze and improve problem management strategies through data insights. Requirements Basic understanding of IT infrastructure and problem management. Familiarity with programming concepts (Python recommended). Enthusiasm for learning about AI and its applications. Description In today's rapidly evolving technological landscape, the ability to proactively manage IT infrastructure is more critical than ever. "AI-Driven IT Operations and Infrastructure" is a comprehensive course designed to empower IT professionals, data scientists, and infrastructure managers with the knowledge and skills needed to leverage artificial intelligence for enhanced problem management.Throughout this course, you will embark on a journey from understanding the fundamentals of AI to implementing advanced AI-driven solutions in real-world scenarios. You'll learn how AI can revolutionize problem management by enabling real-time monitoring, predictive analytics, and automated responses to infrastructure issues.Key Highlights:In-Depth Understanding of AI: Start with the basics of artificial intelligence, exploring its principles, methodologies, and applications in IT infrastructure. Understand how AI can transform traditional problem management approaches.Hands-On Experience: Engage in practical exercises and projects that provide hands-on experience with leading AI tools such as TensorFlow and PyTorch. Learn to set up your AI environment, collect and prepare data, and develop predictive models.Real-Time Monitoring: Discover techniques for real-time infrastructure monitoring using AI. Learn to set up monitoring systems that can detect anomalies and potential failures before they escalate into major issues.Predictive Analytics: Dive into predictive analytics, learning how to build and train models that can forecast potential infrastructure problems. Explore case studies demonstrating successful applications of predictive maintenance.Automation: Understand the power of automation in problem management. Develop and implement AI-driven automated responses to common infrastructure issues, and integrate these solutions with your existing systems.Continuous Improvement: Use AI for continuous improvement by analyzing data and gaining insights that refine your problem management strategies. Stay ahead of trends and advanced techniques to keep your infrastructure robust and resilient.Capstone Project: Apply everything you've learned in a comprehensive capstone project. Tackle a real-world problem, develop a complete AI-driven solution, and present your findings to receive constructive feedback. Who this course is for IT professionals and infrastructure managers. Data scientists and AI enthusiasts interested in IT applications. Students and researchers in computer science and related fields. Homepage https://www.udemy.com/course/ai-powered-it-operations-and-infrastructure/ Rapidgator Links Download https://rg.to/file/faac6e736018c2060cb0fdb3851d5594/dffui.AIPowered.IT.Operations.and.Infrastructure.rar.html Fikper Links Download https://fikper.com/ZDV1yEE6lp/dffui.AIPowered.IT.Operations.and.Infrastructure.rar.html No Password - Links are Interchangeable

Free Download Udemy - AI-Powered Application Development with Java Spring AI(2025) Published 5/2025 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 2h 2m | Size: 865 MB Java Basics, Spring Boot, Spring AI, AI Model Integration, Hugging Face Models, Gemini API, RESTful API Development What you'll learn Introduction to Java Spring AI Framework Understanding Spring AI Components and API Models Building AI-powered REST APIs with Spring Boot Building AI-Powered Automated Email Reply Assistant with Spring AI Requirements Basic Java Programming Spring Boot Fundamentals API and Database Knowledge Experience with Development Tools & IDEs Description This comprehensive course delves into the world of Java Spring AI, offering a structured approach to building AI-driven applications using the powerful Spring AI Framework. The course begins with a thorough introduction to Spring AI, explaining its architecture, key components, and how it seamlessly integrates AI capabilities into Java-based applications. Students will gain insights into different AI models and APIs supported by Spring AI, with a special focus on using Hugging Face models and the Gemini API. By understanding these AI-powered tools, learners will be able to incorporate natural language processing (NLP), machine learning, and generative AI capabilities into their applications, making them more intelligent and efficient.As the course progresses, students will learn how to build AI-powered REST APIs using Spring Boot. This module emphasizes hands-on development, guiding learners through the process of creating, configuring, and deploying AI-enhanced APIs. The integration of Hugging Face models and the Gemini API into RESTful services enables applications to generate responses, analyze text, and automate decision-making. Through practical exercises and real-world scenarios, students will understand how to structure their APIs, manage data flow, and optimize AI performance within their applications. This segment ensures that learners are equipped with the necessary skills to develop scalable and production-ready AI-powered backend services.The final part of the course focuses on applying AI capabilities to real-world use cases by building an AI-powered Automated Email Reply Assistant. This project-based module guides students in integrating AI-driven text processing and response generation into an automated email management system. By leveraging Spring AI, students will develop an intelligent assistant that understands email content, categorizes messages, and generates appropriate replies based on predefined AI models. This hands-on project solidifies the concepts covered in the course, providing students with practical experience in building AI solutions that enhance productivity and automation. By the end of the course, learners will have the knowledge and skills to design, develop, and deploy AI-powered applications using Spring AI, making them well-equipped for modern AI-driven software development. Who this course is for Java Developers AI & ML Enthusiasts Software/ Application Developers Backend Engineers Homepage https://www.udemy.com/course/ai-powered-application-development-with-java-spring-ai/ Rapidgator Links Download https://rg.to/file/a3a3fff57bde0fd8b6a75d975f14653b/yoitm.AIPowered.Application.Development.with.Java.Spring.AI2025.rar.html Fikper Links Download https://fikper.com/UISVnI7bOJ/yoitm.AIPowered.Application.Development.with.Java.Spring.AI2025.rar.html No Password - Links are Interchangeable

Free Download Udemy - AI-Powered Algorithmic Trading Build using LSTM Model Published 5/2025 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 1h 32m | Size: 768 MB Learn to Build and Backtest LSTM-Based Trading Strategies Using Technical Indicators and Real Market Data What you'll learn Understand how AI is transforming algorithmic trading Create predictive trading features from stock data Train LSTM models to predict buy, sell, or hold signals Handle imbalanced financial data using oversampling and focal loss Evaluate trading performance using accuracy, precision, recall, and confusion matrix Visualize predicted trading signals on real stock charts Backtest trading strategies using portfolio simulation Calculate Sharpe Ratio, Drawdown, and Returns for risk analysis Requirements Basic knowledge of Python programming Familiarity with Pandas, NumPy, and Matplotlib No prior trading or AI experience required - everything is explained step-by-step Description Unlock the power of Artificial Intelligence in the world of trading.In this hands-on course, you'll learn how to build, train, and backtest AI-driven algorithmic trading strategies using Python, machine learning, and deep learning tools. Whether you're from finance or tech, this course will help you turn market data into actionable trading signals using LSTM models, sentiment analysis, and advanced evaluation metrics.You'll begin with the basics of algorithmic trading, explore the role of AI, and dive deep into tools like Random Forest, Gradient Boosting, CNNs, LSTM, Reinforcement Learning, Genetic Algorithms, and Ensemble Methods. From there, you'll move into real-world implementation - loading historical stock data, creating predictive features, labeling outcomes, handling class imbalance with focal loss, and evaluating your trading strategy through backtesting and risk metrics like Sharpe Ratio and Drawdown.This course includes:Real Apple stock data for hands-on practiceFeature engineering using technical indicatorsCustom loss functions like Focal LossBuilding an LSTM model from scratchVisualizing trading signals and performanceBacktesting with capital growth simulationsBy the end, you'll walk away with a fully functional trading strategy powered by AI - plus the knowledge to apply these techniques across any stock, ETF, or crypto asset.What You'll LearnUnderstand how AI is transforming algorithmic tradingCreate predictive trading features from stock dataTrain LSTM models to predict buy, sell, or hold signalsHandle imbalanced financial data using oversampling and focal lossEvaluate trading performance using accuracy, precision, recall, and confusion matrixVisualize predicted trading signals on real stock chartsBacktest trading strategies using portfolio simulationCalculate Sharpe Ratio, Drawdown, and Returns for risk analysis Who this course is for Aspiring algorithmic traders looking to build AI-powered strategies Data scientists and ML engineers interested in finance and trading Quantitative analysts and fintech professionals exploring automation Students and researchers in finance, statistics, or computer science Anyone curious about LSTM, NLP, and deep learning for real-time trading Homepage https://www.udemy.com/course/ai-powered-algorithmic-trading-build-using-lstm-model/ Rapidgator Links Download https://rg.to/file/3fd4e6e71c82290558436047bebd4fc6/wpglq.AIPowered.Algorithmic.Trading.Build.using.LSTM.Model.rar.html Fikper Links Download https://fikper.com/PILDBRzuuP/wpglq.AIPowered.Algorithmic.Trading.Build.using.LSTM.Model.rar.html No Password - Links are Interchangeable

Free Download Udemy - AI-Enhanced Photo Editing From Beginner to Pro Published 5/2025 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 1h 50m | Size: 1.72 GB Start Editing Stunning Photos in Minutes with AI What you'll learn The fundamentals of AI‑driven photo editing and how it differs from traditional workflows Advantages and limitations of AI in photo editing Complete mastery of Luminar Neo's generative features: GenErase, GenSwap, GenExpand Genre‑specific editing recipes for landscapes, portraits, wildlife, cityscapes, street, real‑estate, and product shots Time‑saving strategies to automate routine tasks while protecting artistic integrity Requirements Your background knowledge of basic photo editing will be a plus No prior experience with AI tools is necessary-everything is taught from scratch Description Still spending more time pushing sliders than shooting new photos?AI can change that. With the latest tools, you can erase power lines, swap dull skies, sharpen wildlife, smooth skin, or extend a canvas-often in just a click. What is more, the same smart tech works for every style you shoot, from sweeping landscapes and gritty street scenes to glossy product shots and real-estate interiors.This course shows you how to do it all with Luminar Neo, Skylum's award-winning AI editor. Step by step, you'll pick up quick fixes, creative tricks, and a repeatable workflow that turns good photos into eye-catching images, whether you're just starting out or refining a pro-level process.THE COURSE FOCUSES ON 4 KEY AREASFoundations of AI Photo Editing Get an insider's look at how artificial intelligence is reshaping post-production, map out your learning path, and weigh the real-world pros & cons of AI tools.Transformative Editing with Luminar NeoDive into Neo's interface, master its assistive features, and harness generative tools to erase distractions, swap objects, and extend canvases in seconds.AI Techniques for Multiple Niches Follow practical demos that apply the right AI settings to landscapes, portraits, wildlife, cityscapes, street shots, real-estate interiors, and e-commerce product photos.Putting It All TogetherWrap up with a repeatable audit-to-export workflow so you can continue producing consistent, high-impact edits long after the course ends.WHO IS THE INSTRUCTOR?Vanelli - is a working sports and portrait photographer, educator, and author living in Florida. As an experienced educator, Vanelli has created videos for LinkedIn Learn, has written hundreds of articles, taught at major photography conferences and has developed many photography and digital workflow programs including Click for Kids. Currently, he is the Director of Education at Skylum Software, teaching workshops, writing for Photofocus, and creating tutorials for the Vanelli and Friends series.YOU'LL HAVE THE OPPORTUNITY TO LEARN PHOTO EDITING FROM TOP PROFESSIONALS:We make world-renowned photo editing software since 2009 that helps elevate the creativity of photo artists. Since then, Skylum won many industry awards, and, what's more important - the trust of thousands of customers.Skylum thrives for innovation, and has won industry awards, including Best Mac App of 2017, EISA Best Product 2019-2020, Outdoor Photographer Editors' Picks, The LUCIE Technical Awards for Best Software Plugin 2019, TIPA World Awards for Best Imaging Software 2019.2020 Editor's Choice by Macworld for Luminar 4.Luminar Neo is the latest AI photo editing software from Skylum. Editing photos in Luminar Neo has made photography post-processing easier than ever. 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Free Download Udemy - AI for Suspicious Activity Monitoring Published 5/2025 Created by Minerva Singh MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 35 Lectures ( 2h 35m ) | Size: 1.4 GB Build AI-Powered Systems to Detect Anomalies, Fraud, and Unusual Patterns in Real-Time Using Machine Learning & Gen AI What you'll learn Learn about the uses of self-supervised machine learning Implement self-supervised machine learning frameworks such as autoencoders using Python Learn about deep learning frameworks such as Keras and H2O Learn about Gen AI and LLM Frameworks Requirements Basic Python data science concepts Basic Python syntax Understanding of the Colab environment Introduction to the Gen AI Ecosystem Description Unlock the power of AI to detect anomalies, fraud, and suspicious behaviour in digital systems. "AI for Suspicious Activity Monitoring" is a hands-on, end-to-end course designed to teach you how to use traditional AI techniques, deep learning, and generative AI (GenAI) to monitor and respond to unusual patterns in real-world data.Whether you're a developer, data analyst, or aspiring AI professional, this course provides practical tools and strategies to build intelligent monitoring systems using Python, autoencoders, and large language models (LLMs).What You'll Learn Anomaly Detection Techniques: Implement classical and modern methods, including statistical outlier detection, clustering-based approaches, and autoencoders.Deep Learning for Behaviour Monitoring: Use unsupervised learning (e.g., autoencoders) to detect irregular patterns in time series, text, or sensor data.GenAI & LLM Integration: Explore how large language models like OpenAI's GPT and frameworks such as LangChain and LLAMA-Index can assist in monitoring human-generated activity (e.g., suspicious conversations, document scans).Fraud and Cyber Threat Detection: Apply AI tools to detect threats in finance, cybersecurity, e-commerce, and other high-risk domains.Cloud-Based Implementation: Build scalable pipelines using tools like Google Colab for real-time or batch monitoring.Text Analysis for Audit Trails: Perform NLP-based extraction, entity recognition, and text summarisation to flag risky interactions and records.Why Enrol in This Course?In today's fast-paced digital world, AI-powered monitoring systems are essential to detect threats early, reduce risk, and protect operations. This course offers:A practical, Python-based curriculum tailored for real-world applicationsStep-by-step project-based learning guided by an instructor with an MPhil from the University of Oxford and a PhD from the University of CambridgeA rare combination of AI, deep learning, and GenAI in a single courseUse of cutting-edge LLM frameworks like OpenAI, LangChain, and LLAMA-Index to expand beyond numerical anomaly detection into text-based threat detectionLifetime access, updates, and instructor support Who this course is for Data Scientists who want to increase their knowledge of self-supervised machine learning Students of Artificial Intelligence (AI) and Gen AI Students interested in learning about frameworks such as autoencoders Homepage https://www.udemy.com/course/ai-for-suspicious-activity-monitoring/ Rapidgator Links Download https://rg.to/file/15e4d702d0e550deedbca30d22f7ba5f/rslrk.AI.for.Suspicious.Activity.Monitoring.part1.rar.html https://rg.to/file/a88c9e6bc44b71296e18c09480646491/rslrk.AI.for.Suspicious.Activity.Monitoring.part2.rar.html Fikper Links Download https://fikper.com/FWRp1CztkG/rslrk.AI.for.Suspicious.Activity.Monitoring.part2.rar.html https://fikper.com/g0eDmgbLwj/rslrk.AI.for.Suspicious.Activity.Monitoring.part1.rar.html No Password - Links are Interchangeable

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Free Download Udemy - AI Hand Gesture & Traffic Sign Detection with Python & CV Published 5/2025 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 1h 3m | Size: 733 MB Real-Time Hand Gesture & Traffic Sign Detection with Python, OpenCV & Deep Learning What you'll learn Learn hand gesture and traffic sign recognition for HCI, accessibility, road safety, and autonomous systems. Set up Python with OpenCV, MediaPipe, TensorFlow for real-time gesture and sign recognition. Explore gesture and traffic sign detection for control systems, virtual interfaces, and smart transportation. Detect hand gestures using MediaPipe and classify signs using EfficientNet B0 in real-time. Recognize gestures like Thumbs Up, Victory, Fist, and classify traffic signs with ML and landmarks. Preprocess images and videos using resizing, normalization, and augmentation for better model input. Visualize results with labels, confidence scores, and bounding boxes for easy interpretation. Train EfficientNet B0 on traffic signs and optimize hyperparameters to improve accuracy. Handle issues like lighting, occlusions, and low resolution for robust real-world performance. Use gesture recognition for control, gaming, and accessibility; use sign detection for driving and safety. Integrate both systems into real-time apps for smart interaction and decision-making. Requirements Basic understanding of Python programming (helpful but not mandatory). A laptop or desktop computer with internet access[Windows OS with Minimum 4GB of RAM).No prior knowledge of AI or Machine Learning is required-this course is beginner-friendly.Enthusiasm to learn and build practical projects using AI and IoT tools.DescriptionWelcome to the Real-Time AI Vision Systems Course: Hand Gesture & Traffic Sign Recognition with Python!In this comprehensive hands-on course, you'll master two powerful real-time AI systems: Hand Gesture Recognition using MediaPipe & OpenCV and Traffic Sign Detection using EfficientNet B0 & TensorFlow. 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Free Download Udemy - AI Change Management Course Master Change in the Age of AI Published 5/2025 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 56m | Size: 281 MB Leading Change in the Age of Artificial Intelligence Using People-First Strategies To Ensure Organizational Readiness What you'll learn The fundamentals of change management in the context of Generative AI How to assess the impact of AI on people, roles, and workflows Strategies to overcome resistance and build AI literacy across your organization Communication techniques to foster transparency and trust The role of leadership in AI adoption and cultural transformation Ethical considerations, employee concerns, and managing uncertainty How to design AI-integrated change plans tailored to your organization's needs Requirements Basic Understanding of Organizational Structures: Learners should have a general awareness of how businesses or teams operate, including roles, workflows, and decision-making processes. Familiarity with Digital Tools or Technologies: While no technical AI knowledge is required, a basic comfort level with modern digital tools (e.g., productivity apps, collaboration platforms) will be helpful. Leadership or Team Management Experience (Recommended): This course is especially valuable for managers, team leads, HR professionals, and change agents, but it's open to anyone interested in organizational transformation. Curiosity About AI and Innovation: A willingness to explore how Generative AI is impacting the workplace, along with an open mindset toward change and future-forward thinking. English Language Proficiency: The course is delivered in English, so learners should have intermediate-level English reading and listening skills to fully engage with the content. Description The rapid rise of Generative AI is reshaping industries, transforming workflows, and redefining roles across every sector. From marketing to software development, healthcare to education, organizations are adopting AI technologies at unprecedented rates. Yet, amid the technological advancement lies one of the most critical challenges: managing the human side of change. This course designed to help leaders, managers, and change agents successfully navigate the organizational, cultural, and strategic shifts required to adopt Generative AI effectively.This course goes beyond the basics of AI implementation. It focuses on people-first strategies to help you build trust, reduce resistance, and align teams with new AI-driven processes. You'll learn how to assess organizational readiness, communicate change with empathy, and empower your workforce to engage with emerging technologies confidently and ethically.Whether you're leading a small team or driving enterprise-wide transformation, this course will equip you with the tools and mindset needed to create a resilient, adaptive organization. Through real-world examples, interactive exercises, and practical frameworks, you'll gain a deep understanding of how to facilitate change in ways that are sustainable, inclusive, and aligned with your business goals.Why This Course Matters:Technology adoption alone does not guarantee success. True transformation happens when people understand, accept, and engage with change. As Generative AI continues to evolve, organizations must prioritize their people-helping them transition from fear and confusion to confidence and capability. This course blends change management best practices with insights specific to AI's disruptive nature, ensuring that you're not just implementing new tools, but building a future-ready workforce.By the end of this course, you'll be equipped with a change leadership playbook that supports your organization's long-term success with Generative AI-empowering your people to not just survive the change, but thrive in it. Who this course is for Business leaders and executives planning to implement Generative AI tools Change managers, HR professionals, and organizational development consultants Team leaders and department heads looking to guide their teams through AI adoption Tech professionals wanting to understand the human side of AI integration Anyone interested in driving responsible, people-centered digital transformation Homepage https://www.udemy.com/course/change-management-for-generative-ai-h/ Rapidgator Links Download https://rg.to/file/f81f277ad43f901ddaeac35828888b9f/kaast.AI.Change.Management.Course.Master.Change.in.the.Age.of.AI.rar.html Fikper Links Download https://fikper.com/3nYuXgVoVR/kaast.AI.Change.Management.Course.Master.Change.in.the.Age.of.AI.rar.html No Password - Links are Interchangeable

Free Download Udemy - AI Bible From Beginner to Builder in 100 Projects Published 5/2025 Created by Vivian Aranha MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 40 Lectures ( 3h 8m ) | Size: 2.4 GB Master AI by building 100 real-world projects using Python, LLMs, agents, tools like LangChain, Ollama, and Streamlit What you'll learn Build and deploy 100 practical AI and ML projects from scratch Understand core concepts in NLP, computer vision, and agents Use libraries like PyTorch, TensorFlow, HuggingFace, and LangChain Create AI apps with Streamlit, FastAPI, and Gradio Fine-tune LLMs and build RAG and agentic systems locally Apply AI in real-world domains: health, finance, education, etc. Integrate speech, image, and text models into full-stack apps Evaluate and test LLMs for safety, alignment, and accuracy Use tools like ChromaDB, Ollama, and LangGraph offline Develop ethical, aligned, and human-centered AI systems Requirements A basic understanding of Python programming (variables, functions, loops) Familiarity with using Jupyter Notebooks or any Python IDE An interest in exploring how AI works through real-world projects A computer with at least 8GB of RAM and a stable internet connection (Optional) Basic knowledge of machine learning or data science concepts No prior AI/ML experience is required. This course will guide you from foundational topics to advanced projects step by step. Description Welcome to the AI Bible - your ultimate, hands-on guide to mastering artificial intelligence through 100 real-world projects. This isn't just another theory-heavy AI course. It's a practical, immersive journey designed to help you learn AI by building, from day one.Whether you're a beginner, a self-taught developer, or a seasoned engineer looking to pivot into the AI space, this course gives you the tools, confidence, and structure to go from zero to building production-ready AI applications. You'll not only gain an understanding of core concepts like machine learning, deep learning, natural language processing, and computer vision, but you'll actually use them to create projects that solve real problems.Over 100 days, you'll work on 100 standalone projects that cover everything from basic AI models to cutting-edge systems involving LLMs, agents, tool use, voice processing, search, memory, and multi-agent orchestration. Each project comes with clear code, explanations, and ideas for customization-making it the perfect resource for portfolio building, interviews, or startups.You'll explore and integrate powerful open-source tools including:LangChain, for chaining together LLM prompts and toolsOllama, to run local LLMs like LLaMA 3, Mistral, and Phi-2Streamlit and Gradio, for building interactive AI-powered web appsChromaDB, for local vector search and RAG (Retrieval-Augmented Generation)CrewAI and LangGraph, to build advanced multi-agent systemsUnlike most courses, you won't be dependent on cloud APIs. This curriculum emphasizes offline, local AI development, ensuring you learn to build powerful applications with full data privacy, portability, and control.By the end of this course, you will:Understand and apply machine learning and deep learning fundamentalsUse transformers and pretrained LLMs in practical applicationsBuild tools like AI chatbots, search engines, recommender systems, and speech agentsImplement your own AI agents with memory, tools, reflection, and reasoningEvaluate models using your own LLM evaluation suite and red team test setsDevelop an ethical AI mindset by writing your own AI Manifesto and alignment strategyThis course is also a reflection on how we build AI: the final project asks you to create a Personal AI Manifesto, helping you align your skills with the kind of world you want to create.Whether you want to become an AI engineer, launch your own AI startup, or just understand the technology shaping the future, the AI Bible gives you everything you need-one project at a time. 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Free Download Udemy - AI (Artificial Intelligence) for HR HRM Excellence Published 5/2025 Created by Arun Singhal B-Tech, MBA (IIM-B),Unilever, J&J, Danone, IIMU, Cello MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 45 Lectures ( 5h 12m ) | Size: 5.1 GB Use AI for Human Resource Management including Talent Management, Performance Management, Learning and Development etc What you'll learn How can AI help build Excellence in Human Resource Management Case Studies of AI helping build Excellence in Human Resource Management Building Blocks to build Excellence in Human Resource Management Implementing the Building Blocks to build Excellence in Human Resource Management Talent Acquisition and Recruitment Employee Experience and Engagement Learning and Development Performance Management Workforce Planning and Analytics Compliance and Risk Management Requirements 5 hours Description Want to use AI (Artificial Intelligence) for HR Excellence but don't know what to do and how?Take a look at this course where you willNot only learn about AI for HR Excellence including how AI helps build Excellence in HR Management, Case Studies of AI helping build Excellence, Building Blocks of using AI to build HR Excellence and How to implement these AI Building Blocks for HR Excellence inTalent Acquisition and Recruitment, Employee Experience and Engagement, Learning and Development, Performance Management, Workforce Planning and Analytics AND Compliance and Risk ManagementPreview many lectures for free to see the content for yourselfClear your doubts on this topic any time while doing the courseGet Udemy's 30 days Money Back GuaranteeMy exposure to AI for HR Excellence started during 2016-2019 with launch of intelligent HR platforms, rise of AI-powered applicant tracking systems (ATS), companies using chatbots (like Mya and Olivia) for recruiting automation and AI started supporting employee engagement surveys and performance prediction.I continued to learn about AI for HR Excellence through 2020-2022 (Pandemic-Driven Acceleration) whenRemote work led to a surge in demand foro Virtual hiring and onboardingo AI-based employee support systemso Sentiment analysis from emails, Slack, and surveysCompliance reporting tools adapted with AI for GDPR, EEOC, and DEI metrics.AI in HR shifted from cost-saving to strategic value creationI have been watching the Mainstream Adoption of AI in HR from 2023-Present withWidespread use of AI in:o Skills mappingo Real-time feedbacko Predictive retentiono Workforce planningTools like Workday AI, SAP SuccessFactors AI, LinkedIn Talent Insights, and Oracle HCM Cloud integrated deep AI functionality.DEI and compliance tools (e.g., Equalture, OneTrust) became AI-enhanced.Generative AI began being used in HR documentation, candidate communication, and policy Q&A botsI bring in this course my learnings from this journey and share with you how can you also can successfully use AI for HR ExcellencePreview for yourself many lectures free. If you like the content, enroll for the course, enjoy and skill yourself to start using AI for HRM Excellence!Please remember that this course comes with Udemy's 30 days Money Back GuaranteePlease remember to reach out to me for any help in enjoying this course after you enroll Who this course is for Aspiring and current HR Professionals wanting to use AI for Human Resource Excellence Homepage https://www.udemy.com/course/ai-artificial-intelligence-for-hr-hrm-excellence/ Rapidgator Links Download https://rg.to/file/38ac3a5fb7cec5d73c6287dc8647aeb3/seive.AI.Artificial.Intelligence.for.HR.HRM.Excellence.part5.rar.html https://rg.to/file/72a13f273db1e32ab8e6b8e5fc837324/seive.AI.Artificial.Intelligence.for.HR.HRM.Excellence.part6.rar.html https://rg.to/file/b176be641f37f30255091bd4f67476a8/seive.AI.Artificial.Intelligence.for.HR.HRM.Excellence.part2.rar.html https://rg.to/file/ebfca37d47527df483681ab63edd7b85/seive.AI.Artificial.Intelligence.for.HR.HRM.Excellence.part3.rar.html https://rg.to/file/ed23de355fecfc37afdc9af308cbeb06/seive.AI.Artificial.Intelligence.for.HR.HRM.Excellence.part4.rar.html https://rg.to/file/fed396a5d4083f69419f94b10594d2e6/seive.AI.Artificial.Intelligence.for.HR.HRM.Excellence.part1.rar.html Fikper Links Download https://fikper.com/1ajjE1lwUk/seive.AI.Artificial.Intelligence.for.HR.HRM.Excellence.part2.rar.html https://fikper.com/38V4RWkI3h/seive.AI.Artificial.Intelligence.for.HR.HRM.Excellence.part3.rar.html https://fikper.com/A4d4rzyN9B/seive.AI.Artificial.Intelligence.for.HR.HRM.Excellence.part6.rar.html https://fikper.com/FSi5FxJ3fv/seive.AI.Artificial.Intelligence.for.HR.HRM.Excellence.part1.rar.html https://fikper.com/QtteyBb6Nk/seive.AI.Artificial.Intelligence.for.HR.HRM.Excellence.part5.rar.html https://fikper.com/UPjrndff4e/seive.AI.Artificial.Intelligence.for.HR.HRM.Excellence.part4.rar.html No Password - Links are Interchangeable

Free Download Udemy - A2A and MCP protocol for Agentic AI Published 5/2025 Created by Rahul Raj MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Intermediate | Genre: eLearning | Language: English | Duration: 75 Lectures ( 5h 55m ) | Size: 2.6 GB Mastering A2A & MCP Protocols: Building Multi-Agent Systems with LangGraph, Claude & Cursor What you'll learn Grasp the core principles of A2A and MCP protocols for agent communication. Build and manage multi-agent workflows efficiently using the LangGraph framework. Integrate Claude and Cursor to enhance agent capabilities in real-world projects. Use LangGraph's advanced features for custom agent and logic. Requirements python Description Unlock the power of next-generation automation and multi-agent orchestration with our comprehensive course on the A2A (Agent-to-Agent) and MCP (Multi-Agent Coordination Protocol) protocols, leveraging LangGraph, Claude, and Cursor. This hands-on course is designed for developers, AI enthusiasts, and professionals who want to master advanced AI workflows and practical agent collaboration.We'll start by demystifying the foundations of A2A and MCP protocols-essential tools for scalable, secure, and efficient communication between AI agents. You'll get an in-depth look at their real-world applications and integration strategies.Through practical demonstrations, you'll learn how to use LangGraph to design and deploy robust agent networks that communicate and coordinate tasks. The course covers building custom agent workflows with Claude, a leading LLM, and integrating Cursor for streamlined code generation and automation.You'll gain hands-on experience by building real projects that implement A2A and MCP, guiding you from concept to deployment. The course emphasizes best practices for reliability, security, and scalability. By the end, you'll have the skills to create, manage, and scale advanced AI agent systems for various domains-whether in automation, process optimization, or innovative AI-driven apps.No prior experience with A2A, MCP, or LangGraph is required-just a willingness to learn and experiment. Join us to future-proof your skills and be at the forefront of agent-driven AI solutions! Who this course is for Agentic AI Homepage https://www.udemy.com/course/a2a-and-mcp-protocol-for-agentic-ai/ Rapidgator Links Download https://rg.to/file/3aa5bad9fb521137e2edcac59fab099d/lpdfv.A2A.and.MCP.protocol.for.Agentic.AI.part2.rar.html https://rg.to/file/54c2f53514b4f230409975f7d0edaaa0/lpdfv.A2A.and.MCP.protocol.for.Agentic.AI.part1.rar.html https://rg.to/file/e205695a7cac7744dd24b8879c9e64d1/lpdfv.A2A.and.MCP.protocol.for.Agentic.AI.part3.rar.html Fikper Links Download https://fikper.com/2LjVZRywDy/lpdfv.A2A.and.MCP.protocol.for.Agentic.AI.part2.rar.html https://fikper.com/PtWYEH3YYe/lpdfv.A2A.and.MCP.protocol.for.Agentic.AI.part1.rar.html https://fikper.com/fGnPn0JaJZ/lpdfv.A2A.and.MCP.protocol.for.Agentic.AI.part3.rar.html No Password - Links are Interchangeable

Free Download A/B Testing Mastery: Statistical Foundations & Strategy Published 5/2025 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 4h 46m | Size: 2.15 GB Learn hypothesis testing, experiment design, and strategic A/B implementation to optimize user experiences What you'll learn Define and formulate testable hypotheses and success metrics for A/B experiments Calculate sample sizes, statistical power, and interpret confidence intervals to design reliable tests Differentiate between Type I & II errors and apply Bayesian and frequentist methods for valid analysis Implement randomization, segmentation, and traffic allocation to eliminate bias and optimize results Requirements Basic understanding of statistics, familiarity with spreadsheets or statistical software (Excel, Python, R), and access to an A/B testing platform or simulation environment Description This comprehensive A/B Testing Mastery course delivers a complete journey from statistical foundations to strategic implementation. You will start by grounding yourself in core concepts like hypothesis testing, probability distributions, sampling theory, and confidence intervals. Our lessons guide you through calculating sample sizes, power analysis, and interpreting p-values and margins of error with clarity and confidence. Whether you are new to experimentation or seeking to refine your analytical skills, you will acquire the statistical toolkit to validate changes and drive optimized decisions.In the second part of the course, you will dive deep into experiment design. Learn to define precise hypotheses, select meaningful success metrics, and structure randomization schemes that avoid bias. Understand segmentation strategies for meaningful cohort analysis and master the practical steps of traffic allocation across control and variant groups. We also cover monitoring dashboards, stopping rules, and troubleshooting common pitfalls to maintain integrity in every test you run.You will then explore advanced analytical techniques and learn to differentiate between frequentist and Bayesian approaches. Demystify p-value misconceptions, quantify uncertainty with confidence intervals, and contrast posterior probabilities with traditional significance tests. By the end of these lessons, you will skillfully apply statistical power calculations to balance effect size and sample size, reducing Type I and Type II errors in your experiments.Moving beyond analysis, this course emphasizes strategic implementation. Discover how to integrate A/B testing within product roadmaps, prioritize experiments aligned with business goals, and cultivate an experimentation-driven culture. Learn to communicate insights effectively to stakeholders and build cross-functional buy-in for continuous optimization. You will also study multi-armed bandits and sequential testing methods to accelerate decision velocity and personalize experiences in real time.We review popular platforms such as Optimizely, Google Optimize, and AB Tasty, alongside guidance for building custom testing frameworks. You will get hands-on tutorials for setting up tracking instrumentation, creating data pipelines, and validating experiment data integrity. Ethical considerations and data privacy regulations including GDPR and CCPA are woven throughout, ensuring your online tests respect user consent and legal requirements as you scale your experimentation program.By course completion, you will confidently design, execute, and analyze A/B tests that drive measurable growth. Ideal for data analysts, product managers, marketers, and UX designers, this course offers actionable insights to optimize conversion rates, engagement, and revenue. You will also gain access to real world case studies and best practices that you can immediately apply to your projects, accelerating your journey from novice experimenter to A/B testing expert.Enroll today and transform your decision making with data driven experimentation. Start mastering A/B testing foundations and strategic implementation to unlock the full potential of your digital products. 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Free Download Udemy - 8D Problem Solving Theory & Methodology Published 5/2025 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 4h 37m | Size: 2.13 GB Master 8D steps to uncover root causes, execute corrective actions, and elevate quality with data-driven problem-solving What you'll learn Apply the complete eight-step 8D methodology to solve complex quality issues systematically. Gather, analyze, and interpret data using tools like fishbone diagrams and 5 Whys. Develop and execute interim and permanent corrective actions with risk assessments. Integrate 8D practices with Lean and Six Sigma to drive continuous process improvement. Requirements Basic understanding of quality management principles; familiarity with PDCA, Lean, or Six Sigma concepts; access to data analysis tools (e.g., Excel); willingness to engage in collaborative problem solving. Description Welcome to 8D Problem Solving: Theory & Methodology, a comprehensive, structured approach to tackling complex problems in manufacturing, quality management, and operations. In this dynamic course, you will explore the origins and evolution of the eight-discipline (8D) methodology, rooted in the Plan-Do-Check-Act (PDCA) cycle and originally developed by Ford Motor Company. You'll learn how each discipline interconnects to drive systematic root cause analysis and corrective action planning. Whether you are new to structured problem solving or seeking to deepen your expertise, this course lays a solid theoretical foundation before moving into practical application.Starting with the fundamentals, we dissect each stage from D0 through D7. You'll begin by preparing and planning a problem-solving effort, learn to form cross-functional teams, and define precise problem statements using 5W2H techniques. Then, you'll discover how to implement interim containment actions to protect customers, followed by advanced root cause analysis methods like 5 Whys, fishbone diagrams, and fault tree analysis. We'll guide you through choosing and verifying permanent corrective actions, managing change control, and preventing recurrence. Our approach balances theory with hands-on exercises and digital templates to reinforce learning.In the Best Practices and Integration section, you'll master effective communication strategies and stakeholder management to keep projects on track. We cover essential change management principles to embed corrective actions in daily workflows, and identify common pitfalls such as scope creep, data gaps, and team conflicts, providing proven tactics to overcome these challenges. You will also learn how to align 8D with Lean waste reduction and Six Sigma DMAIC to amplify process efficiency and quality performance. Metrics and KPIs will be defined to measure cycle times, defect reduction, and cost savings for continuous improvement.Throughout the course, you'll engage with real-world case studies from various industries, dissect successful 8D projects, and extract actionable lessons. You will explore digital platforms and software tools that streamline data collection, collaboration, and reporting, enabling scalable and consistent 8D execution. By the final chapter, you will be prepared to scale 8D methodology across your organization, develop training programs, and foster a culture of structured problem solving. Case exercises and downloadable templates ensure you can immediately apply what you learn to live projects and deliver lasting results.By the end of this course, you will possess a comprehensive toolkit to lead 8D problem-solving initiatives, drive data-driven decisions, and achieve sustainable quality improvements. You'll know how to document processes effectively, maintain traceability, and share lessons learned to continuously elevate performance. Armed with structured templates and proven best practices, you can confidently tackle new challenges and mentor others on your team. Join us, enhance your problem-solving expertise, and take the next step in your professional development towards operational excellence and robust quality assurance. Who this course is for This course is designed for quality engineers, continuous improvement specialists, process managers, and team leaders in manufacturing and service environments seeking to master structured problem solving and root cause analysis to drive operational excellence. 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Free Download Udemy - 7 Day SHE Awakening® Juice Fast Reset Published 5/2025 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 1h 28m | Size: 886 MB 7 day juice fast and mindset rest for women What you'll learn You will learn the art of self discipline and control over you body Learn how to naturally detox your mind and body Have more energy, clarity and confidence feeling whole Learn how you can detox your body without starving yourself Requirements You must have no health/medical conditions - must consult your health care professional Watch the disclaimer video before joining Description 7 Day SHE Awakening® ResetThe 7 day reset to rejuvenate your mind, body and spirit.This is for awakening women beginning their wellness journey, who want to have more energy, clarity & confidence to live the life they want being who they truly are.You will learn how using natural wholefood can:- Realign, restore, reset and energise the body- How natural foods support healing & energy- Help release toxins that block clarity and flow- Help you think clearer - reducing brain fog- How to build self discipline and self connection as well as building structure- How to structure your day for balance & alignmentI am a testimony as someone who struggled with lack of clarity, no energy, brain fog, no motivation, inflammation, acne prone, constantly bloated, yeast infection, was a secretive vegan junkie comfort eater.7 days gave me back life, hope and to see the world through a different lens. It gave my body a break away from food. This adventure it's a guided reset to help you reconnect with the healthiest, most honest version of yourself.I've included:* 7 Day Daily JournalDaily self reflection building self motivation and disciplineDaily food journal* 7 Day Juice PlanDelicious inspo menu guide or create your own.* Pre Fast Guide7 day shopping list - £60-75 a weekPre mindset self reflectionSelf assessment* Post Fast GuideHow to break fast correctly (menu)Holistic self care guidancePost self assessment- Access to me daily inside Telegram community (working hours) with daily inspo- Daily accountability check in & motivation- On completion of a certificate from my SHE Awakening® Academy for self commitment.BONUS: A short meditation & empowerment reading to add self reflection & support.You will need some large containers, juice bottles - ideally glass but no biggie just show up. This is self paced with daily short audio recordings. You're welcome to buy & do it alone, however, straight up - it's lonely AF & you will VERY likely fall off - so we stick together as sisters daily, if you want.Accessible on all devices, lifetime access EVEN to future updates and you're welcome to stay in the group after the 7 days.If you want to be your true self, have more energy, feel less tired, glow inside out feeling healthier mind, body & soul this is super accessible.Join if it feels aligned & give your body the reset it's been asking for. Who this course is for for women beginning their wellness journey for women who have no energy, feel tired, burnt out, lack energy, on a self love journey - putting self first Homepage https://www.udemy.com/course/7-day-she-awakening-reset/ Rapidgator Links Download https://rg.to/file/d48205ca2fada8e4de9cec0afb6c72b3/rufqb.7.Day.SHE.Awakening.Juice.Fast.Reset.rar.html Fikper Links Download https://fikper.com/QFlUXDRUSE/rufqb.7.Day.SHE.Awakening.Juice.Fast.Reset.rar.html No Password - Links are Interchangeable

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