Generative AI Fundamentals

Generative AI Fundamentals: Mastering the Agentic Shift

Still thinking about generative AI as better chatbots? That mindset is already behind the market. Teams now need systems that can reason, use tools, manage memory, retrieve live information, plan multi-step work, and operate with increasing autonomy. The real challenge is no longer getting AI to produce text. It is learning how to build AI that can pursue outcomes reliably.

Generative AI Fundamentals: Mastering the Agentic Shift shows exactly how that transition works. This book takes readers from the foundations of modern generative AI into the practical architecture of agentic systems, explaining how reasoning engines, tool calling, structured outputs, retrieval-augmented generation, memory, planning, self-correction, and multi-agent collaboration fit together as one operational design. It turns a fast-moving, often confusing topic into a clear and usable framework for developers, architects, technical leaders, and ambitious builders.

Inside this book, you will learn how to:

• understand the shift from prompt-driven AI to agentic AI systems
• build agents that reason, act, retrieve, reflect, and adapt
• design reliable workflows with memory, tools, planning, and governance
• implement agentic RAG, structured output, and multi-agent collaboration
• create AI systems that are practical, auditable, and production-aware

Whether you are trying to understand where generative AI is heading or looking for a grounded path to build smarter AI applications, this book gives you the concepts and system patterns that matter now. Buy it today and gain the foundation you need to work confidently in the age of agentic AI.