Building Practical AI Agents and Agentic Workflows

Artificial intelligence is shifting from passive chat interfaces to active, autonomous agents that can plan, use tools, and collaborate. Understanding how to build these agentic workflows is becoming an essential skill for modern developers and tech professionals. In this comprehensive, text-based course, you will transition from understanding basic AI concepts to designing fully functional agentic systems. You will learn how to structure multi-agent collaborations, implement tool-calling mechanisms, and manage state across complex workflows to automate real-world processes. What you'll learn: - Understand the foundational principles of agentic architecture, memory, and planning. - Master prompt engineering techniques to guide agent behavior and decision-making. - Configure single and multi-agent systems to collaborate on complex objectives. - Apply tool-calling and external API integration to connect your agents to the real world. - Implement basic retrieval-augmented generation (RAG) patterns for agent knowledge bases. - Analyze and debug agentic workflows to ensure reliable, predictable execution. The course begins with core terminology, foundational definitions, and architectural concepts before guiding you through written walkthroughs of agent design, orchestration, and practical workflow deployment. It is designed for beginners, developers, and tech enthusiasts looking to enter the world of AI automation, with no prior experience in agentic workflows required. Start reading today to build your first autonomous AI agent.