Foundations of LLMs and AI Agents for Developers

Are you curious about the transformative power of artificial intelligence but don't know where to start with large language models and AI agents? This course demystifies the core concepts and provides a clear pathway to building your first intelligent systems. By the end of this course, you will possess a solid understanding of how LLMs function and gain the practical skills to design and implement basic AI agents capable of autonomous decision-making, tool use, and complex task execution. What you'll learn: * Learn the fundamental architecture and operational principles of large language models. * Understand essential prompt engineering techniques to guide LLMs effectively. * Build basic AI agents that can perform multi-step reasoning and execute tasks. * Apply agentic design patterns, including tool integration and memory management. * Explore Retrieval Augmented Generation (RAG) patterns for context-aware agent responses. * Practice implementing agent workflows using foundational programming concepts. * Understand the ethical considerations and limitations inherent in AI agent development. This course guides you from foundational LLM concepts and prompt engineering principles to the practical construction of AI agents. You will progress through understanding agent components, integrating external tools, and managing conversational memory, culminating in the ability to create simple, functional agents. This course is designed for absolute beginners with no prior experience in AI, machine learning, or large language models. No specific programming prerequisites are required beyond a basic understanding of programming logic, as all concepts are explained from the ground up. Begin your journey into the exciting world of intelligent AI agents today.