Building AI Agents with Large Language Models

The landscape of artificial intelligence is rapidly evolving, with Large Language Models (LLMs) enabling new possibilities for intelligent automation. Understanding how to leverage LLMs to create autonomous AI agents is a crucial skill for modern developers and innovators. This course provides a structured approach to agent development, empowering you to move beyond simple prompts and build sophisticated, goal-oriented AI systems that can interact with their environment and execute complex tasks. What you'll learn: Understand the core architecture and components of AI agents powered by Large Language Models. Apply effective prompt engineering techniques to guide agent behavior and decision-making. Design agent memory systems, including short-term context and long-term knowledge retrieval using basic RAG patterns. Implement planning and execution mechanisms for agents to achieve complex goals. Practice strategies for ensuring agent safety, reliability, and quality control during development. Develop basic prototypes and consider principles for scaling agents towards production environments. The course begins with foundational concepts and terminology, progressively moving into practical agent design patterns, implementation strategies, and considerations for robust operation. This course is designed for beginners interested in AI and Large Language Models, with no prior experience in agent development required. Begin your journey into creating intelligent AI agents today.