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Free Download Udemy - AI for CyberSecurity with ChatGPT - Automate Security Defense Published: 3/2025 Created by: Pavel Hrabec MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 62 Lectures ( 4h 56m ) | Size: 3.81 GB Master Cyber Security with AI and ChatGPT - Learn to Boost Threat Detection & Incident Response with GenAI Automation What you'll learn Develop a deep understanding of core concepts and proven strategies for seamlessly incorporating generative AI into cybersecurity practices Learn how to set up and configure a fully functional cybersecurity lab in Azure, including resource provisioning and environment configuration Discover how to infuse your SIEM environment with OpenAI ChatGPT for enriched security alerts, automated analysis and faster incident response. Understand how to generate, manage, and securely use ChatGPT API keys to integrate AI into your cybersecurity workflow Master the configuration of Azure services to enable seamless integration of AI tools for automated cybersecurity defenses Gain hands-on experience in deploying Microsoft Sentinel, setting it up for optimal performance, and integrating its AI-driven threat detection capabilities Learn to create Logic Apps that serve as the backbone for automated cybersecurity workflows, linking ChatGPT with other security tools. Experiment with the ChatGPT Playground to test and fine-tune AI responses for different cybersecurity scenarios. Gain expertise in integrating external threat intelligence sources to automate data enrichment and malware analysis Learn techniques to automatically analyze raw security logs, parse data using AI, and generate dynamic queries to uncover threat Understand how to integrate outputs from many AI solutions, enhancing overall threat analysis and decision-making capabilities Develop skills to orchestrate automated incident response processes, reducing manual intervention and response time Learn best practices for deploying scalable, secure AI integrations in production, including safeguarding sensitive credentials with Azure Key Vault Gain insights into enriching and customizing AI models with your own data, leading to more accurate and context-aware threat detection Requirements No Prior Cybersecurity or AI Experience Needed: This course is designed for beginners and experts alike, so no previous knowledge is required. Curiosity and Willingness to Learn: An eagerness to explore cutting-edge technologies and practical cybersecurity applications is all you need. Internet Access: A reliable internet connection is essential for accessing online labs, cloud services, and course materials. Description Unlock the full potential of Artificial Intelligence in cybersecurity with our comprehensive, hands-on course designed for anyone - from security analysts to seasoned professionals seeking to optimize their Security Operations Center (SOC). Learn to leverage the power of AI, particularly ChatGPT and GenAI, to automate threat detection, accelerate incident response, build robust security defenses and stay ahead of evolving cyber threats.This course emphasize hands-on learning through practical labs that can be completed with free resources! You'll gain real-world experience by building and deploying AI-driven security solutions.Ready to transform your cyber security strategy? Join the future of cyber security automation with AI.Course is structured to provide a balanced mix of theory and hands-on practice:Setup Free Cybersecurity Lab with AI:Set up your lab in Azure, configure essential tools, and get started with ChatGPT API integration.Key Topics: API key generation, Microsoft Sentinel deployment and understanding AI project costs.Integrating OpenAI ChatGPT with SIEM Solution:Infuse your SIEM system with AI capabilities by connecting Azure Logic Apps and ChatGPT.Key Topics: Building Logic Apps, testing AI responses, and enhancing security alerts.Threat Intelligence Enrichment with AI:Enhance threat intelligence using Google Cloud Security AI Workbench and VirusTotal integration.Key Topics: Threat Intelligence, incident simulation and malware analysis with Artificial Intelligence.Advanced Cyber Defense Solutions with AI:Automate raw log analysis, generate dynamic queries, and combine multiple AI outputs for superior threat analysis.Key Topics: Advanced log analysis, AI-enhanced playbooks, and real-world incident response testing.Commercial AI Cyber Defense:Explore market-ready AI tools such as Intezer for automated threat detection and malware analysis.Key Topics: Secure key management, commercial AI integration and automated malware identification.Preparing Cybersecurity AI Automation for Production:Get production-ready with scalable, secure AI deployments in Azure.Key Topics: Secure AI integrations, ChatGPT pricing, deployment templates and AI studio functionalities.Customizing AI with Your Data:Learn to enrich AI models with your own data for personalized threat intelligence.Key Topics: Data enrichment automation and Artificial Intelligence model customization.Conclusion and Best Practices:Summarize actionable tips and strategies to avoid unexpected costs and optimize your AI-driven cybersecurity workflows.What You'll Gain?Automate Cyber Defense: Learn to integrate ChatGPT with advanced SIEM solutions to create robust, AI-powered security workflows.Optimize SOC Operations: Gain the skills to set up and manage a free, hands-on cyber security lab on Azure, enabling real-world testing and analysis.Enhance Threat Detection: Discover how to use Artificial Intelligence for automated log analysis, dynamic KQL query generation, and enriched threat intelligence.Deploy Scalable Solutions: Understand production-ready deployment practices for AI solutions, ensuring your systems are secure, scalable, and efficient.Hands-On Experience: Benefit from practical labs, including free deployments, that let you experiment with Microsoft Sentinel, Azure Logic Apps, VirusTotal integration, and commercial tools like Intezer.Comprehensive Skill Set: From basic setup to advanced incident response and commercial integrations, this course covers all aspects of AI-enhanced cybersecurity.Who Should Enroll?Security Analysts & SOC Professionals: Enhance your incident response, automate threat detection, and streamline security operations.IT and Network Professionals: Gain insights into integrating AI-driven tools to improve network security and reduce manual workloads.Aspiring Cyber Security Professionals: Jumpstart your career with cutting-edge AI skills.AI Enthusiasts & Students: Explore the exciting intersection of AI and cybersecurity.Anyone Seeking to Understand and Mitigate Modern Cyber Threats: Gain practical skills to protect yourself and your organization. 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Free Download Udemy - AI Startup Ideas with Sramana Mitra Published: 3/2025 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 3h 49m | Size: 1.47 GB How to Find and Evaluate AI Startup Ideas What you'll learn Through interviews with real-world AI startup investors you will hear about various AI startup ideas. How you can think from an investor's point of view about artificial intelligence startup. What types of AI startups are getting funded. Where you can seek further mentorship regarding AI startup funding. Requirements The only requirement for this course is an open mind and a willingness to learn. Description The 1Mby1M Methodology is based on case studies. In this course, Sramana Mitra shares the tribal knowledge of tech startup investors by giving students the rare seat at the table with investors who provide the most instructive perspectives on how to build a thriving business. Through these conversations, students gain access to case studies exploring the alleys of entrepreneurship. Sramana's synthesis of key learnings and incisive analysis add great depth to each discussion.There's a lot of excitement around AI right now, but also a great deal of noise. With so many possibilities, how do you identify the right AI startup idea to pursue? This course is designed to help entrepreneurs cut through the hype and uncover real opportunities in the AI landscape.In AI Startup Ideas, we explore promising directions for artificial intelligence ventures, examining where AI is making the biggest impact and where untapped potential still exists. You'll gain insights into how successful AI startups have identified market needs, developed innovative solutions, and positioned themselves for growth.We'll discuss key trends in enterprise AI adoption, the challenges of AI hallucination, and the ongoing debate between general AI and specialized applications. You'll also learn about the infrastructure required to scale AI and how emerging technologies might shape the next wave of AI-driven businesses.By the end of this course, you'll have a clearer understanding of what makes an AI startup idea viable, how to assess market demand, and where the most promising opportunities lie in this rapidly evolving space. Let's dive in! Who this course is for AI entrepreneurs who want to learn from investors about AI startups in the works and where there are open spaces for new AI startups. Aspiring AI founders who want to learn what startups are gaining traction. Developing world entrepreneurs who want to increase their chances of getting investment for an AI startup. Professors worldwide teaching AI entrepreneurship courses. Homepage: https://www.udemy.com/course/ai-startup-ideas/ AusFile https://ausfile.com/39k34frkmqnu/lrybw.AI.Startup.Ideas.with.Sramana.Mitra.part1.rar.html https://ausfile.com/01pfzh8d1dn6/lrybw.AI.Startup.Ideas.with.Sramana.Mitra.part2.rar.html Rapidgator Links Download https://rg.to/file/d598a3fb9dddc081d57a5f519031dbe8/lrybw.AI.Startup.Ideas.with.Sramana.Mitra.part1.rar.html https://rg.to/file/56de3345561b4669184307e82ec0d2d9/lrybw.AI.Startup.Ideas.with.Sramana.Mitra.part2.rar.html Fikper Links Download https://fikper.com/KBcPMdXJUz/lrybw.AI.Startup.Ideas.with.Sramana.Mitra.part1.rar.html https://fikper.com/jiFWrQjZiY/lrybw.AI.Startup.Ideas.with.Sramana.Mitra.part2.rar.html No Password - Links are Interchangeable

Free Download Udemy - AI For Beginners 2025 - Master The Basics Of Ai In 1 Hour Published: 3/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 407.96 MB | Duration: 0h 53m Learn the fundamentals of AI, Machine Learning, and Generative AI -no coding or math needed! Perfect for beginners! What you'll learn Introduction to Artificial Intelligence Introduction to Machine Learning Introduction to Neural Networks & Deep Learning Introduction to Generative AI (Gen AI) Large Language Models (LLMs) Steps in building Machine Learning Models Types of Data used in Machine Learning Labeled Data & Unlabelled Data Structured & Unstructured Data Supervised & Unsupervised Learning Reinforcement & Self-Supervised Learning Types of Inferencing - Batch & Real-time Foundation Models in Gen AI Diffusion Models Multimodal Models Introduction to Prompt Engineering Output Optimisation & Fine-tuning Retrieval Augmented Generation (RAG) Cost of building & running AI systems Ethical Considerations in AI Requirements Zero prerequisites! Beginner-friendly AI course. No math/coding required-just enthusiasm to learn. We explain everything simply. Description Welcome to "AI for Beginners 2025 : Master the Basics of AI in 1 Hour" - your first step into the fascinating world of AI! In this course, you'll discover:What AI really is (and isn't!)How Machine Learning & Deep Learning powers everyday technologyWhy Generative AI (Gen AI) like ChatGPT is transforming industriesThe core concepts we'll unpack togetherPerfect for complete beginners, this course requires no technical background - just your curiosity! We'll break down complex ideas into simple, relatable examples, preparing you to:✓ Understand AI news and trends✓ Speak confidently about AI terms✓ Explore potential career paths✓ Make informed decisions about AI toolsHere's what you'll learn:We'll start with an Introduction to AI, where we'll explore what artificial intelligence is and how it's shaping industries like healthcare, finance, and entertainment.Then, we'll dive into the Types of AI-from narrow AI that powers your favorite apps to the dream of general AI that can think like a human.Next, we'll explore Machine Learning, the heart of AI. You'll learn about the steps to build a machine learning model, the importance of training data, and the difference between labeled and unlabeled data. We'll also break down structured and unstructured data-because not all data is created equal!Ever wondered how Netflix knows what you want to watch next? That's Supervised Learning at work! Or how your email filters out spam? That's Unsupervised Learning. We'll explain these concepts in simple terms, with real-world examples to make it all click.But we won't stop there! We'll introduce you to Neural Networks and Deep Learning-the technologies behind facial recognition and voice assistants. And get ready to explore the exciting world of Generative AI, where machines can create art, write stories, and even compose music!We'll cover Foundation Models, Large Language Models (LLMs) like ChatGPT, and even Diffusion Models-the magic behind AI-generated images. Plus, we'll dive into Multimodal Models that can understand text, images, and more!We'll also explore advanced topics like Retrieval Augmented Generation (RAG) and Model Output Optimization, so you understand how AI systems deliver accurate and useful results. And because AI isn't just about technology, we'll discuss the Cost of Building and Running AI Systems and the Ethical Considerations-because with great power comes great responsibility!By the end of this course, you'll have a solid understanding of AI concepts, terminologies, and tools. You'll be ready to take your first steps into the world of AI, whether for a career, a hobby, or just to satisfy your curiosity.So, are you ready to unlock the power of artificial intelligence? Let's get started!No coding • No math • Just clear and simple explanations Absolute beginners curious about AI! Professionals, students, or hobbyists-no tech background needed. Perfect if you want to understand AI basics fast. Homepage: https://www.udemy.com/course/ai-for-beginners-2025-master-the-basics-of-ai-in-1-hour/ AusFile https://ausfile.com/6ex4v6p52erm/ayctf.AI.For.Beginners.2025..Master.The.Basics.Of.Ai.In.1.Hour.rar.html Rapidgator Links Download https://rg.to/file/19f76f4a3841af7641784dc72c3734fb/ayctf.AI.For.Beginners.2025..Master.The.Basics.Of.Ai.In.1.Hour.rar.html Fikper Links Download https://fikper.com/LjZRbGfwt2/ayctf.AI.For.Beginners.2025..Master.The.Basics.Of.Ai.In.1.Hour.rar.html No Password - Links are Interchangeable

Free Download Udemy - AI Agents - Beginner to Pro with Azure AI Agent Service Published: 3/2025 Created by: Kshitij Joy (Cloud Alchemy) MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Beginner | Genre: eLearning | Language: English | Duration: 108 Lectures ( 5h 54m ) | Size: 2.8 GB AI Foundry , Assistants API , Agent Service, Function Calling, Code Interpreter, Bing Search , AI Search, Azure SDK What you'll learn Introduction to AI Agents A Case Study of Netflix Recommendation System Module on Azure AI Foundry A Refresher on Assistants API Azure AI Agent Service Basics How to setup Agents via Foundry Azure AI Projects client library for Python Understand Azure CLI & Entra-ID App Registration Method Action Tool - Function Calling Action Tool - Code Interpreter Knowledge Tool - Grounding with Bing Search Knowledge Tool - File Search Knowledge Tool - Azure AI Search Requirements Basic Understanding of Generative AI Understanding of Azure Basic Understanding of Python Description AI Agents - Beginner to Pro using Azure AI Agent ServiceUnlock the power of AI agents with this comprehensive course designed to take you from a beginner to a pro using Azure AI Agent Service. In today's fast-paced world, businesses and developers risk falling behind if they don't harness AI automation. Fear of missing out drives the need to stay ahead, and this course ensures you're equipped with the knowledge and skills to build and deploy AI agents efficiently. Whether you are new to AI or looking to deepen your understanding, this course provides hands-on experience with Azure's AI ecosystem, giving you the edge you need to stay competitive.Don't let fear, uncertainty, and doubt hold you back from leveraging AI agents in real-world applications. With step-by-step guidance, demos, and real-world use cases, you'll learn how AI agents work, how to integrate them with Azure AI Foundry, and how to utilize various Action and Knowledge tools. By the end of this course, you will have mastered function calling, code interpreter, Bing search, and Azure AI Search, empowering you to build intelligent, scalable, and automated solutions.Course ContentsSection 1: Intro to AI AgentsLecture 1: Title Intro (Preview enabled)Lecture 2: Introduction to AI AgentsLecture 3: What is Agentic AI?Lecture 4: Demo: AI Agents (Preview enabled)Lecture 5: What are AI Agents?Lecture 6: How an AI Agent Works?Lecture 7: Use Cases of AI Agents in the Real WorldSection 2: Azure AI Foundry Basics (For Absolute Beginners)Lecture 8: Title Intro - Azure AI FoundryLecture 9: Introduction to Azure AI FoundryLecture 10: What is Azure AI Foundry?Lecture 11: Architecture of Azure AI FoundryLecture 12: Projects vs HubsLecture 13: How It Differs from Azure OpenAI ServiceLecture 14: Navigating the Azure AI Foundry PortalLecture 15: Key Difference - Azure OpenAI With & Without ProjectLecture 16: Demo: Create a Hub & ProjectLecture 17: Model BenchmarksLecture 18: Access Playgrounds via FoundryLecture 19: Management CentreSection 3: Assistants API - A RefresherLecture 20: AdviceLecture 21: Title Intro - Assistants APILecture 22: Introduction to Assistants APILecture 23: What is Assistants API?Lecture 24: Assistants API Components / Key TermsLecture 25: Assistants API ArchitectureLecture 26: What is Function Calling?Lecture 27-35: Multiple Demo Sessions on Function Calling with Python CodeSection 4: Azure AI Agent ServiceLecture 36: Title - Azure AI Agent ServiceLecture 37: Introduction to Azure AI Agent ServiceLecture 38: What is Azure AI Agent Service?Lecture 39: Architecture of Azure AI Agent ServiceLecture 40: Assistants API Vs Azure AI Agent ServiceLecture 41-47: Model, Region Support, Pricing & Hands-on DemosSection 5: Understanding Azure SDK for PythonLecture 48: Title - Azure SDK for PythonLecture 49: Introduction to Azure SDK for PythonLecture 50-55: Setup, Sample Code, and Agent Creation with SDKSection 6: Azure AI Agent Service Action Tools - Function CallingLecture 56: Title - Action Tools - Function CallingLecture 57-63: Workflow & Implementation of Function Calling with Azure AI AgentSection 7: Azure AI Agent Service Action Tools - Code InterpreterLecture 64: Title - Code InterpreterLecture 65-73: Understanding and Implementing Code Interpreter for AI AgentsSection 8: Azure AI Agent Service Knowledge Tools - Bing SearchLecture 74: Title - Knowledge Tools - Bing SearchLecture 75-81: Hands-on Implementation of Bing Search in AI AgentsSection 9: Azure AI Agent Knowledge Tools - File SearchLecture 82: Title - Knowledge Tools - File SearchLecture 83-91: File Search Setup, Implementation, and Query ProcessingSection 10: Azure AI Agent Knowledge Tools - Azure AI SearchLecture 92: Title - Knowledge Tools - Azure AI SearchLecture 93-107: Hands-on Implementation of Azure AI Search with Agents & Python Code Who this course is for Beginners wishing to learn Azure AI Foundry Beginners for Azure AI Agent Service How to address Knowledge Tools - Action & Knowledge Understand No-Code & Python Code for each Use Case Homepage: https://www.udemy.com/course/ai-agents-beginner-to-pro-with-azure-ai-agent-service/ AusFile https://ausfile.com/88hdeqljxb81/ezgyx.AI.Agents..Beginner.to.Pro.with.Azure.AI.Agent.Service.part1.rar.html https://ausfile.com/1yx43bfca6wz/ezgyx.AI.Agents..Beginner.to.Pro.with.Azure.AI.Agent.Service.part2.rar.html https://ausfile.com/52097zqu819f/ezgyx.AI.Agents..Beginner.to.Pro.with.Azure.AI.Agent.Service.part3.rar.html Rapidgator Links Download https://rg.to/file/93334aa8863f404678b25e91405d75e4/ezgyx.AI.Agents..Beginner.to.Pro.with.Azure.AI.Agent.Service.part1.rar.html https://rg.to/file/9992d1d693c70ff0dc410e85062c038a/ezgyx.AI.Agents..Beginner.to.Pro.with.Azure.AI.Agent.Service.part2.rar.html https://rg.to/file/8285bd80d9a96645a3aeb0d80f71008f/ezgyx.AI.Agents..Beginner.to.Pro.with.Azure.AI.Agent.Service.part3.rar.html Fikper Links Download https://fikper.com/8l5FWfmARF/ezgyx.AI.Agents..Beginner.to.Pro.with.Azure.AI.Agent.Service.part1.rar.html https://fikper.com/1NJ4U3qCF0/ezgyx.AI.Agents..Beginner.to.Pro.with.Azure.AI.Agent.Service.part2.rar.html https://fikper.com/9MtGA1r3HS/ezgyx.AI.Agents..Beginner.to.Pro.with.Azure.AI.Agent.Service.part3.rar.html No Password - Links are Interchangeable

Free Download Udemy - ABS & Traction Control System Diagnostic Published: 3/2025 Created by: Automotive Diagnosis MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 50 Lectures ( 3h 16m ) | Size: 2 GB ABS Module & Sensors Practical Diagnostic Course What you'll learn You will learn the operation of brake assist systems including ABS, TCS, ESP and more. You will learn to identify all components on ABS & Traction control system. You will learn to diagnose passive and active sensors. You will learn to read and analyze the ABS & TCS wiring diagram. You will learn how to diagnose Yaw-rate and G-Sensors. You will learn how ABS/TCS hydraulic block works in different barking conditions. You will learn how diagnose ABS/TCS wiring in case of common fault codes. You will learn how to diagnose the ABS/TCS system in case on CAN-BUS faults. You will learn how to inspect the ABS/TCS internal circuit. You will learn how to use a scan tool to diagnose the brake system and how to perform the required calibrations. Requirements No Requirements are needed. Anyone can learn from this course. Description This course explains everything about Brake Control Systems diagnostic. This course covers ABS (Anti-Lock Braking System), TCS (Traction Control System), ESP (Electronic Stability Program), HAC (Hill-Start Assist Control), DBC (Downhill Braking Control) and EBD (Electronic Brake Distribution). We talk about the system operation, components location and diagnostic, how to use the wiring diagram and scan tool to diagnose the system and much more.We have covered everything you need to test and diagnose the components on brake systems, this includes:- How ABS (Anti-Lock Braking System) works- How TCS (Traction Control System)- How ESP (Electronic Stability Program)- How HAC (Hill-Start Assist Control)- How DBC (Downhill Braking Control)-How EBD (Electronic Brake Distribution)- How Passive Speed Sensors work and how to diagnose them.- How Active Speed Sensors work and how to diagnose them.- How Yaw-Rate Sensors work and how to diagnose them.- How Lateral & Longitudinal G-Sensors works and how to diagnose them.- How test the ABS/TCS internal circuit.- How to read and analyze the ABS/TCS wiring diagrams and how to identify the wiring on each component.- How ABS and ESP systems are connected to the CAN-bus network and how to perform the network diagnostic on an actual car. - How ABS/TCS Hydraulic block works in any stage of braking including: Normal braking, Pressure Hold, Pressure Dump and Pressure Increase.- How to diagnose the brake systems with scan tools and how to use the live data, actuation test or sensor calibration options to diagnose the brake systems. Who this course is for Automotive Mechanics Automotive Engineers Automotive Diagnosticians Electrical Technicians Automotive Students Automobile Technicians DIY Automotive Repair Homepage: https://www.udemy.com/course/abs-traction-control-system-diagnostic/ AusFile https://ausfile.com/j1eapg4grp0n/nbiit.ABS..Traction.Control.System.Diagnostic.part1.rar.html https://ausfile.com/pnj02ujaji4k/nbiit.ABS..Traction.Control.System.Diagnostic.part2.rar.html https://ausfile.com/9niyip1xd91p/nbiit.ABS..Traction.Control.System.Diagnostic.part3.rar.html Rapidgator Links Download https://rg.to/file/1d0cc9dede800f12ee98a2d237a570d8/nbiit.ABS..Traction.Control.System.Diagnostic.part1.rar.html https://rg.to/file/c7e805ccc7697c6dd32c7207b62d280a/nbiit.ABS..Traction.Control.System.Diagnostic.part2.rar.html https://rg.to/file/085e87b5a22748421cff43711024862d/nbiit.ABS..Traction.Control.System.Diagnostic.part3.rar.html Fikper Links Download https://fikper.com/EJfQ8HaAYj/nbiit.ABS..Traction.Control.System.Diagnostic.part1.rar.html https://fikper.com/SR4DmwcHMN/nbiit.ABS..Traction.Control.System.Diagnostic.part2.rar.html https://fikper.com/35vm3JuRaz/nbiit.ABS..Traction.Control.System.Diagnostic.part3.rar.html No Password - Links are Interchangeable

Free Download Udemy - 10 NoSQL Stores with JSON in 10 Days Published: 3/2025 Created by: Cristian Scutaru MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 83 Lectures ( 8h 59m ) | Size: 5.1 GB All about handling semi-structured JSON data in MongoDB, Amazon DocumentDB, Azure Cosmos DB, Couchbase, CouchDB and more What you'll learn History of NoSQL document stores Introduction to over a dozen of JSON document stores How to insert and query JSON data into NoSQL document stores Popular NoSQL document stores like MongoDB, CouchDB and Couchbase Hosted document store services in AWS, Azure and Google Cloud Niche doc store products like RavenDB, RethinkDB and Redis JSON How to access NoSQL JSON data from Python clients How to get access to free open source doc stores or free cloud trial accounts How to install and access doc databases from Docker Desktop Specific SQL-like query languages for semi-structured data JavaScript-based query languages for JSON hierarchies Requirements Basic programming knowledge in Python Optional knowledge of querying relational data with SQL SELECT Basic programming skills in JavaScript Optional knowledge of the JSON format and data type No prior knowledge of NoSQL is required Description I've been exposed to NoSQL products like MongoDB starting almost 20 years ago. A big company from Vancouver/Canada I was working for at that time used Oracle and Microsoft SQL-Server to store relational data. But they also used MongoDB for schema-free semi-structured data. I had to learn the hard way how to model and query this data, and it took a serious learning curve.Take this high-quality hands-on course to get familiar not just with MongoDB, but with over a dozen of other popular NoSQL JSON document stores as well. As you might need them in your professional career or your job. More than you think...NoSQL JSON document stores we'll coverPopular specialized NoSQL stores: MongoDB, Apache CouchDB, Couchbase, Redis JSON.Popular NoSQL cloud services: Amazon DocumentDB, Azure Cosmos DB for NoSQL, Google Cloud Firestore.Niche NoSQL products and libraries: RethinkDB, RavenDB, MySQL Document Store.What you will learnJSON used as data type and specific NoSQL storage format.Implement CRUD operations for JSON documents.SQL-like declarative languages to query JSON data, like SQL++, RQL, ReQL and GQL.JavaScript-based query languages for JSON document stores, from MongoDB or other products.Write Python client code to access local and remote document stores.Use JSON path expressions, to locate specific elements in a hierarchy.Convert JSON to NDJSON or other hierarchical formats like XML and YAML.Free editions or free cloud trial accounts you can use to setup and access these NoSQL stores.Professional certifications offered by the related vendors.A few of my credentials for this courseExpert in many NoSQL databases, including MongoDB and Couchbase JSON document stores.Certified Professional Couchbase Developer - in querying their JSON document stores using SQL.Certified Redis Developer - in most of their data structures.Professional work experience with MongoDB and other NoSQL JSON document stores since 2012.Dozens of Professional Certifications in Cloud and Database Systems.Experienced Certified Solutions Architect on AWS/Azure/GCP, with over 20 Professional Certifications.Enroll today, and learn how to handle and query JSON data in most popular NoSQL document stores. 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Free Download Linkedin - Software Testing Foundations Test Planning Updated: 03/2025 Duration: 57m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 128 MB Level: Intermediate | Genre: eLearning | Language: English The moment a product is placed on the roadmap, test managers must begin to strategize, calculate, and prepare for testing. The scope and execution of these tests is often defined by the size and impact of a product release. Whether it's leveraging past product testing or moving into an entirely new product line, you have to plan ahead to ensure that you mitigate issues while delivering a thorough and thoughtful test. This course provides testers and QA leads with the foundational knowledge they need to launch a successful test of a new software application, regardless of scale. Instructor Mike Fine steps through the entire planning process, from evaluating a product, to authoring a plan, to preparing to deliver results. Homepage: https://www.linkedin.com/learning/software-testing-foundations-test-planning AusFile https://ausfile.com/3l2xigxtv5np/penmq.Linkedin..Software.Testing.Foundations.Test.Planning.rar.html Fileaxa Links Download https://fileaxa.com/so0vf4cwxa4s/penmq.Linkedin..Software.Testing.Foundations.Test.Planning.rar TakeFile Links Download https://takefile.link/mfskmnjmlh1k/penmq.Linkedin..Software.Testing.Foundations.Test.Planning.rar.html Rapidgator Links Download https://rg.to/file/8e6ac24d80dbf09ea90d0073a644a7e6/penmq.Linkedin..Software.Testing.Foundations.Test.Planning.rar.html Fikper Links Download https://fikper.com/Girv9mvuiG/penmq.Linkedin..Software.Testing.Foundations.Test.Planning.rar.html No Password - Links are Interchangeable

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