AI-103 Introduction & What an Azure AI Engineer Builds

Welcome to the first video of the complete AI-103: Developing AI Apps and Agents on Azure tutorial series. In this lesson, we introduce the AI-103 certification, understand the role of an Azure AI Engineer, explore the five major AI-103 skill domains, and build a high-level understanding of Microsoft Foundry, Generative AI, RAG, AI Agents, tools, evaluation, security, and responsible AI. In this series, we will progressively build our understanding from fundamentals to real-world Azure AI architectures and implementation scenarios. 📚 WHAT YOU'LL LEARN 00:00 Introduction 02:00 What is AI-103? 04:00 Azure AI Engineer mindset 06:00 AI-103 skill domains 10:00 Generative AI and agentic solutions 13:00 Computer Vision 15:00 Text Analysis 17:00 Information Extraction 19:00 Microsoft Foundry 21:00 AI Applications vs AI Agents 24:00 Enterprise AI Architecture 27:00 RAG, Tools and Evaluation 29:00 AI-103 learning roadmap 🎯 AI-103 TOPICS COVERED • Microsoft Foundry • Generative AI • AI Agents • Retrieval-Augmented Generation (RAG) • AI Tools and APIs • Computer Vision • Text Analysis • Information Extraction • Evaluation and Monitoring • Security and Responsible AI This tutorial is designed for developers, Azure professionals, architects, AI engineers, and learners preparing for AI-103. Subscribe to follow the complete AI-103 learning series. #AI103 #AzureAI #MicrosoftFoundry #AIAgents #GenerativeAI