Introduction to AI Agents and Prompt Engineering

Are you ready to move beyond simple AI chat prompts and discover how autonomous systems actually think and act? Understanding the mechanics of AI agents and advanced prompt design is quickly becoming one of the most critical skills in the modern technology landscape. This text-based course guides you from the fundamental principles of large language models to designing smart, multi-step AI agents. You will learn how to structure instructions, manage context, and orchestrate systems that can plan, use tools, and execute complex workflows independently. What you'll learn: - Understand the core architecture of large language models and how AI agents operate. - Master structured prompt engineering techniques, including few-shot prompting and chain-of-thought reasoning. - Design autonomous agent workflows that utilize planning, memory, and feedback loops. - Configure tools and APIs that allow AI agents to interact with external data sources. - Apply modern agentic patterns like Retrieval-Augmented Generation (RAG) for accurate information retrieval. - Practice building and refining prompts through structured written exercises and conceptual walkthroughs. Starting with essential terminology and foundational AI concepts, the course gradually transitions into practical design patterns for prompt engineering and agent orchestration. You will explore real-world scenarios and read through detailed code and logic execution examples to build your confidence. This course is designed specifically for beginners, developers, and tech enthusiasts who want a solid foundation in AI systems—no prior machine learning experience is required. Start reading today to unlock the potential of autonomous AI workflows.