Microsoft Certified Azure Ai Engineer Associate : Ai-102
Published 10/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 938.13 MB | Duration: 2h 34m
Learn Microsoft Azure AI-102 Skills to Build and Deploy AI Solutions on Azure
What you'll learn
Design and implement AI solution with Azure AI
Compare and implement model deployment strategies
Work with Azure CLI for model inputs/outputs
Develop RAG (Retrieval-Augmented Generation) applications using Azure OpenAI
Build AI Agents with context-aware conversational capabilities
Apply NLP and Vision AI services for real-world use cases
Prepare for the AI-102 certification exam
Requirements
Fundamentals of Azure Cloud
Familiarity with AI/ML and Generative AI fundamentals (Good to have)
Interest in deploying, managing and integrating AI models using Azure tools
Description
Artificial Intelligence (AI) is reshaping industries and empowering businesses with intelligent automation, data insights and conversational experiences. Microsoft Azure AI provides a comprehensive platform to build, train and deploy powerful AI solutions seamlessly within the Azure ecosystem. "This course contains the use of artificial intelligence."This course is designed for developers, data scientists and professionals who want to master AI on Azure from understanding the core concepts of AI and Generative AI to creating custom intelligent applications using Azure AI Foundry, Azure OpenAI and Cognitive Services.You'll learn how to leverage Azure's AI offerings to build, fine-tune and integrate models into real-world projects, enabling you to deliver scalable and secure AI-powered solutions with ease. In addition, this course will fully prepare you for the Microsoft Certified: Azure AI Engineer Associate (AI-102) certification exam validating your ability to build, manage, and deploy AI solutions using Azure AI technologies.What's in this course?We begin with the foundations of AI and Generative AI, exploring the principles behind modern AI models. Then, you'll get hands-on with Azure AI services, learning how to build, deploy, and integrate them into applications. You'll gain practical experience through projects that cover:Setting up your Azure AI environment and resource managementExploring Azure AI Foundry and its SDK for streamlined model deploymentCreating and managing models using Azure OpenAI ServiceBuilding Retrieval-Augmented Generation (RAG) systems on AzureDeveloping AI Agents with multi-turn conversations and contextual intelligenceApplying Natural Language Processing (NLP) and Conversational AI techniquesImplementing Computer Vision solutions for image recognition and analysisEnd-to-end AI project deployment with monitoring and scalabilityBy the end of this course, you'll have both practical expertise and exam-ready knowledge to confidently pursue the AI-102 certification, empowering you to design and deliver advanced AI-driven applications on Azure.Special NoteThis course emphasizes hands-on, practical learning. Every module includes live demonstrations with real-world troubleshooting, so you gain not just the theory but also the confidence to implement LLM solutions independently.Legal Notice:Microsoft® or Azure® is a registered trademarks of Microsoft in the United States and other countries. This course is not certified, accredited, affiliated by Microsoft.Course StructureLecturesLive DemonstrationsHands-on LabsReal-world ProjectsCourse ContentsIntroduction to Azure AIFoundations of AI and Generative AIGetting Started with Azure AIUnderstanding Azure AI Foundry PlaygroundAzure AI Foundry SDKRetrieval-Augmented Generation (RAG)Implementing RAG in Azure AI FoundryDeploying an AI Agent in AzureAdvanced NLP and Conversational AIBuilding a Conversational Agent with Azure AI ServicesDeveloping computer vision applicationDeploying an AI Agent in AzureAll sections of this course are demonstrated live, with the goal of encouraging enrolled users to set up their own environments, complete the exercises, and learn through hands-on experience!
Professionals preparing for the AI-102 Certification Exam,AI/ML Engineers and Data Scientists,Cloud and DevOps Engineers exploring AI integration,AI enthusiasts eager to work with enterprise-ready AI tools,Technical Leads and Product Managers evaluating Azure AI capabilities,AI enthusiasts eager to work with enterprise-ready AI tools,Developers building intelligent and conversational apps
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