Large Language Models (LLMs) and AI Agents for Beginners

As artificial intelligence transforms the modern workplace, understanding Large Language Models (LLMs) has become an essential skill for professionals across all industries. This text-based course demystifies the core mechanics of modern AI, taking you from absolute beginner to a confident practitioner. You will transition from simply using AI tools to understanding how they work under the hood, enabling you to evaluate LLM capabilities, design effective prompts, and conceptualize autonomous AI agents that solve complex problems. What you'll learn: • Understand the foundational concepts, architecture, and limitations of modern LLMs. • Master the principles of prompt engineering to guide model outputs reliably. • Explore Retrieval-Augmented Generation (RAG) and how it connects LLMs to external data sources. • Design AI Agent workflows that can plan, use tools, and execute multi-step tasks. • Analyze real-world enterprise use cases, cost considerations, and deployment strategies. We begin with essential terminology and foundational definitions before moving step-by-step into prompt design, data integration, and agent architecture. This course is designed for beginners, business professionals, product managers, and aspiring tech enthusiasts with no prior programming or machine learning background. Start reading today to unlock the potential of LLMs and build a solid foundation in modern AI systems.