Building AI Applications and Intelligent Agents on Azure

As artificial intelligence evolves, the demand for applications that can reason, plan, and execute tasks independently is skyrocketing. Leveraging cloud infrastructure is the most efficient way to build and scale these next-generation systems. This written course provides a clear, step-by-step pathway to understanding and implementing AI workloads on Azure. You will transition from learning basic cloud AI concepts to structuring complex agentic workflows that solve real-world problems. By reading through practical architectural explanations and code snippets, you will gain the confidence to architect modern, AI-driven solutions. What you'll learn: - Understand core AI concepts, cloud models, and foundational services on Azure - Configure cloud-based language models to integrate intelligent capabilities into your software - Apply prompt engineering techniques to guide model behavior and responses - Implement Retrieval-Augmented Generation (RAG) patterns using vector search databases - Design autonomous AI agents capable of planning, tool usage, and memory management - Deploy and monitor your intelligent applications securely within a cloud environment The course begins with foundational definitions of artificial intelligence and cloud services before guiding you through architecture patterns, integration strategies, and agent design workflows. This course is designed for software developers, cloud enthusiasts, and technology professionals new to AI development on Azure, requiring no prior machine learning background. Start reading today to begin building intelligent, agentic systems on the cloud.