Building Intelligent AI Agents on Azure

AI agents are transforming how we interact with technology by automating complex, multi-step workflows. This written course introduces you to the core principles of designing and running intelligent agents within the Azure ecosystem. You will transition from understanding basic AI models to constructing agentic workflows, gaining the conceptual clarity and practical knowledge needed to orchestrate agents that can plan, use external tools, and access real-time data securely. What you'll learn: - Understand the core architecture, memory types, and planning capabilities of modern AI agents. - Configure Azure AI services to act as the cognitive backbone for your autonomous workflows. - Apply Retrieval-Augmented Generation (RAG) patterns to connect your agents with external knowledge bases. - Integrate APIs and external tools to allow your agents to perform real-world actions. - Design effective system prompts and orchestration flows to guide agent behavior. - Master basic security and guardrail principles to ensure reliable and safe agent operations. We begin with the fundamental definitions of agentic systems before moving step-by-step through configuration, tool integration, and deployment patterns. This course is designed specifically for software developers, system architects, and tech enthusiasts who are new to AI agent development, requiring no prior experience with AI orchestration. Start reading today to build your first intelligent agentic workflows.