Foundations of Agentic AI: Designing Autonomous Systems

As artificial intelligence evolves beyond passive chatbots, the demand for autonomous, goal-oriented systems is soaring. Understanding how to design AI that can perceive, reason, and act independently is the key to building the next generation of software. This text-only course guides you through the fundamental architecture of agentic AI systems, transforming you from a curious learner into someone who can conceptualize and design autonomous workflows. What you will learn: - Understand the core components of agentic AI, including perception, memory, and tool usage; - Explore reasoning frameworks such as chain-of-thought and tree-of-thought planning; - Analyze how autonomous agents interact with external environments and APIs; - Learn modern orchestration patterns, including multi-agent collaboration and feedback loops; - Evaluate safety, alignment, and guardrails in autonomous system design. You will begin with foundational definitions and key terminology before exploring practical architectural patterns and real-world design scenarios. This course is designed specifically for beginners, software developers, and product managers looking to enter the AI space, and requires no prior background in machine learning. Start reading today to master the design principles behind autonomous AI.