Agentic AI and Multi-Step Workflows for Beginners

Artificial intelligence is shifting from simple prompt-and-response interactions to autonomous systems capable of planning, reasoning, and taking real-world action. If you want to understand how modern AI agents operate and how to build them from the ground up, this foundational text-only course is your starting point. You will transition from writing basic prompts to understanding the architectural patterns that drive sophisticated, multi-step agentic behaviors. What you'll learn: Understand core agentic concepts including reasoning loops, planning, and memory management; Configure agents to use external tools, APIs, and databases to retrieve information and perform actions; Implement iterative self-correction and reflection patterns to improve agent output quality; Design multi-agent collaboration systems where specialized agents work together to solve complex tasks; Practice securing agentic workflows using modern safety boundaries and validation checks. This course begins with essential definitions and the core architecture of autonomous systems before guiding you through the design of single-agent and multi-agent workflows. It is designed entirely for beginners with a basic understanding of programming concepts, requiring no prior experience with artificial intelligence or machine learning frameworks. Start reading today to build the next generation of active, tool-using AI systems.