AI Agent Development: Building Autonomous and Multi-Agent Workflows

As artificial intelligence evolves, the focus is shifting from simple chatbots to autonomous agents capable of executing complex tasks and making independent decisions. This shift represents the next frontier in technology, where AI doesn't just answer questions but actively solves problems by interacting with tools and other agents. This course provides a clear path for anyone to understand and build these intelligent systems. You will progress from the foundational definitions of agentic behavior to designing sophisticated multi-agent environments that can handle real-world business logic and automation. Through written explanations and code-based examples, you will gain the skills needed to navigate the modern AI landscape. What you'll learn: - Understand the core principles of autonomy, perception, and decision-making in intelligent systems. - Build collaborative workflows using modern multi-agent frameworks like CrewAI and LangGraph. - Apply Retrieval-Augmented Generation (RAG) to provide agents with secure access to external data. - Master prompt engineering techniques specifically designed for agentic reasoning and tool use. - Implement stateful interactions to manage memory and context across complex tasks. - Explore ethical considerations and responsible deployment strategies for autonomous systems. The curriculum begins with essential terminology and the different types of intelligent agents before moving into the practical mechanics of modern frameworks and tool integration. The content is delivered entirely through text, allowing you to focus on the logic and structure of agentic systems at your own pace. This course is designed for beginners and curious learners who want to understand the future of AI automation. No prior experience with artificial intelligence is required to start. Begin your journey into the world of autonomous AI agents today.