Overview

Build intelligent, multimodal AI systems that see, speak, reason, and act. In Agentic Automation and Multimodal Models in Action (2026 Edition), Robertto Tech takes you inside the next evolution of AI-where agentic workflows and multimodal intelligence merge to create powerful, context-aware systems capable of handling real-world complexity. This hands-on, project-driven guide shows you how to design and deploy autonomous AI agents that integrate text, vision, audio, and structured data using cutting-edge frameworks such as LangChain, MCP (Model Context Protocol), and Python-based orchestration layers. Through progressive, theme-based chapters, you'll master the essential components of multimodal agent engineering-from foundational theory to production-grade automation. Inside You'll Learn How To: Understand the principles of agentic AI automation and multimodal cognition Build modular AI pipelines capable of processing text, image, and speech data in real time Implement MCP-driven context management for memory, reasoning, and adaptive behavior Integrate LangChain and Python to build scalable agent workflows Create multimodal RAG systems and hybrid reasoning architectures Deploy agentic systems to the cloud for autonomous task execution and monitoring Explore emerging multimodal foundation models (GPT-4V, Gemini, Claude 3 Opus, etc.) for cross-domain automation Who This Book Is ForThis book is for AI engineers, data scientists, software developers, and automation architects ready to move beyond basic LLM usage. If you want to build systems that combine reasoning, perception, and action-this book is your roadmap.

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