Building AI Agents & Intelligent Assistants: Creating Multi-Modal and Autonomous AI Systems with LLMs

Building AI Agents & Intelligent Assistants: Creating Multi-Modal and Autonomous AI Systems with LLMs

Step into the future of Artificial Intelligence, where intelligent agents think, reason, and collaborate. Building AI Agents & Intelligent Assistants is your complete, hands-on guide to designing, building, and deploying next-generation AI systems powered by Large Language Models (LLMs).

From simple chatbots to fully autonomous multi-agent ecosystems, this book walks you through every layer of modern AI architecture, reasoning, memory, retrieval, and multi-modal integration. You’ll learn how to connect models like GPT-4, LLaVA, and Whisper to tools, APIs, and vector databases to create assistants that can see, speak, and act.

With practical coding exercises, system diagrams, and real-world projects, this book transforms AI theory into working prototypes, empowering you to build your own research bots, workflow automators, and intelligent personal assistants.

Inside You’ll Learn:
Fundamentals of AI agents, perception, reasoning, memory, and decision-making
Building with LangChain, CrewAI, and LangGraph frameworks
Implementing retrieval-augmented generation (RAG) for knowledge-grounded responses
Integrating speech, vision, and text to create multi-modal assistants
Designing autonomous and collaborative agent systems
Applying ethical, safe, and transparent AI design principles
Capstone project: Build your Personal AI Research Assistant
Who This Book Is For:
AI developers and data scientists exploring autonomous systems
Professionals building custom LLM-based tools and assistants
Researchers, students, and enthusiasts interested in applied generative AI
Innovators looking to deploy scalable, intelligent, and ethical AI applications
Empower your ideas with agents that think, learn, and collaborate.
Your journey to building intelligent, autonomous systems starts here.!