Designing Agent-Driven Workflows in AI Foundry

Modern software is shifting from static code to dynamic, agentic systems that can reason, plan, and execute complex tasks. This text-based course guides you through the foundational concepts of orchestrating autonomous AI agents using the powerful Foundry platform. By working through clear written explanations and structured examples, you will transition from writing simple prompts to designing sophisticated, multi-agent workflows. You will understand how to coordinate multiple specialized agents, integrate external data sources, and manage state across complex execution paths. What you'll learn: - Understand foundational agentic concepts, including planning, memory, and tool usage - Configure multi-agent orchestrations to solve complex, multi-step business problems - Apply prompt engineering best practices specifically designed for autonomous agent behaviors - Integrate retrieval-augmented generation (RAG) patterns to ground your agents with external knowledge - Manage state, history, and variables across complex agent-driven workflows - Implement basic evaluations to monitor and refine agent performance and reliability The course starts with core terminology and the basic architecture of agentic workflows before advancing to practical orchestration patterns and integration techniques. You will learn entirely through clear, step-by-step written guides and conceptual breakdowns designed for self-paced reading. This course is designed for software developers, product managers, and AI enthusiasts who are new to agentic workflows and want to build intelligent applications. No prior experience with AI orchestration or Foundry is required. Start reading today to unlock the potential of collaborative AI agents in your software projects.