Grokking AI Applications

Build modern AI applications with confidence—even if you're new to AI development.

Grokking AI Applications: An Illustrated Guide for Programmers and Other Curious People is a practical, highly visual guide that teaches you how to create intelligent AI applications using today's most powerful technologies. Published by Manning Publications, this book introduces developers, software engineers, IT professionals, students, and technology enthusiasts to the complete AI application development lifecycle.

Instead of focusing solely on coding, author Andrea De Mauro emphasizes AI system design, prompt engineering, Retrieval-Augmented Generation (RAG), AI agents, multi-agent systems, and application architecture. Rich illustrations, real-world examples, workflow diagrams, and step-by-step projects make even advanced AI concepts easy to understand.

You'll learn how to:

• Build AI chatbots powered by Large Language Models (LLMs)
• Create Retrieval-Augmented Generation (RAG) applications
• Connect AI to documents, databases, and CRM systems
• Design autonomous AI agents and multi-agent workflows
• Master prompt engineering techniques
• Develop AI solutions using Langflow's low-code interface
• Implement every project in Python with fully explained code
• Deploy, monitor, and improve AI applications in production
• Understand AI architecture instead of memorizing syntax

The book first introduces concepts visually through Langflow, making AI accessible even to readers with limited Python experience. Each project is then implemented using Python, helping readers transition from visual AI design to production-ready development.

Whether you're exploring Generative AI, building enterprise AI solutions, or learning modern AI engineering practices, this illustrated guide provides a practical roadmap from beginner chatbot projects to sophisticated multi-agent AI systems.

Ideal for:

• AI Developers
• Python Programmers
• Software Engineers
• Machine Learning Engineers
• Data Scientists
• Solution Architects
• Students
• Technology Professionals
• AI Enthusiasts
• Anyone interested in building real-world AI applications

what's inside

• Low-code examples using Langflow and KNIME
• Core mechanics of RAG, agentic structures, and prompt engineering
• Practical AI projects including chatbots and reasoning agents

about the reader

For readers of all levels who want to create AI applications. The use of visual, low-code tools makes it accessible even to those unfamiliar with Python.

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