Introduction to Agentic AI: Building Autonomous Intelligent Agents

AI is shifting from passive conversational assistants to autonomous agents that can plan, use tools, and execute complex workflows independently. Understanding how to design, orchestrate, and secure these agentic systems is becoming an essential skill for modern developers and technology professionals. This text-only course guides you from foundational AI concepts to understanding how autonomous agents coordinate, interact with external systems, and safely execute tasks. What you'll learn: Understand the core architecture of agentic AI systems, including planning, memory, and tool execution; Explore how the Model Context Protocol (MCP) enables seamless orchestration and integration between models and data sources; Analyze security risks, prompt injection vulnerabilities, and new attack surfaces unique to autonomous systems; Learn how agents utilize vector databases and external APIs to maintain long-term context; Evaluate design patterns for multi-agent collaboration and task delegation. You will start with key terminology and foundational concepts before exploring agentic workflows, communication protocols, and security guardrails through clear written explanations and step-by-step conceptual examples. This course is designed for beginners, developers, and product managers looking to understand autonomous AI systems, requiring no advanced machine learning background. Begin reading today to build a strong foundation in the future of autonomous AI orchestration.