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As Independence Day in the USA approaches, you can count on some spectacular fireworks displays. We'd like to kick things off with some fireworks of our own! Until midnight July 5, you can SAVE HALF on all eBooks at manning.com—including these new books in MEAP, the Manning Early Access Program.
Create private chatbots, voice apps, RAG systems, and more
Learn how to make your own ChatGPT-like app, running 100% offline. Along the way, you’ll install and manage multiple models (Llama, Gemma, Qwen, Mistral) through Ollama, set up a professional Python environment from scratch with Homebrew and VS Code, and master Streamlit’s elegant Python-only UI framework. Architectural diagrams, flowcharts, sequence diagrams, and side-by-side comparison tables bring abstract concepts to life. [Read more]
The responses from Large Language Models (LLMs) are more accurate, consistent, and explainable when you provide specific relevant information, or context, to support your prompts. This book shows you how to combine well-designed prompts with smart search, content filtering, and advanced RAG techniques incorporating many types of stored data to create reliable responses in your AI applications. [Read more]
Microsoft AI researcher and Author Zachary Huang argues that in an AI-first environment, the developers who thrive will be those who build architectural thinking rather than passively accepting AI’s output. The book transforms this thesis into a hands-on training program, reframing AI code’s flaws as workout opportunities for your skills as a developer. [Read more]
Build, test, and scale framework-agnostic web components
In this practical and easy-to-follow guide, author Mark Volkmann shows you how Web components deliver something no JavaScript framework can match: true portability. Built on W3C standards and supported natively by every modern browser, web components let you build UI elements once and reuse them anywhere, in React, Vue, Angular, Svelte, plain HTML, or even Markdown documents. No framework downloads and no immovable dependencies. [Read more]
Learn how to establish agent architectures that manage costs and take governance seriously from day one. This innovative book explores 27 reusable patterns that you can apply to your own agentic systems confidently. Each pattern has been stress-tested at scale, with over 10,000 engineers applying them to ship production agents in banks, manufacturers, and AI startups. You’ll appreciate how this book guides you toward system and harness design that impose certainty and reliability on the non-deterministic behavior of LLM-driven agents. [Read more]
We believe you shouldn’t have to wait to start learning! In MEAP, the Manning Early Access Program, you can enjoy books and liveVideos as they’re created, long before they’re available in stores. Here’s how MEAP works.
Start now. Buy the MEAP and download all available chapters in PDF, ePub, Kindle, and liveBook formats immediately. If you pre-order the print book, it will ship as soon as it's off the press.
Get regular updates. We’ll let you know when new or updated chapters and liveVideo modules are available in your Manning user account.
Finish faster. MEAP customers are the first to get final versions of all books and liveVideos!
Contribute to the process. The feedback you share with the authors and instructors makes the end product better.
And fear not! If we ever have to cancel a MEAP, you can exchange it for another book or video, or get a full refund.
Build practical, production-ready AI agents by showing how the major pieces of an agentic system fit together in real applications. Rather than treating agents as magical wrappers around LLMs, author Micheal Lanham breaks them down into concrete engineering layers: persona, tools, reasoning and planning, knowledge and memory, evaluation and feedback, deployment, and orchestration. [Read more]
A practical guide to understanding how modern reasoning-oriented LLMs work by building their core methods step by step. The book tells a clear engineering story: start with a conventional pre-trained LLM, learn how text generation works, build reliable evaluation tools, improve reasoning through inference-time methods, then move into training-based approaches such as reinforcement learning and distillation. [Read more]
Apply relevant mathematical principles in CSS and JavaScript to create beautiful and efficient layouts and interfaces. Every concept is illustrated with hands-on examples so you can practice as you learn! After exploring core techniques for layout and color, you’ll move on to advanced topics like accessibility, responsive typography, and UI elements based on real-world physics. [Read more]
Despite its absolute importance, security practices can appear to be confusing, complex, and mysterious. This book breaks down the fundamentals of securing cloud-based applications in a way that’s both practical and easy to understand. The goal is simple: you’ll learn the concepts and practices you’ll need to keep your cloud applications and data safe during development and after deployment. [Read more]
Learn how to build great web and front-ends using the Streamlit framework and Python. You'll start with the basics by creating a password validator and a simple to-do list app. Then, you’ll progressively build your skills all the way to developing an executive dashboard, an AI chatbot, and an LLM-based searchable knowledge base. You’ll love the crystal-clear explanations and the interesting hands-on projects as you develop your Streamlit skills step by step. [Read more]
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