Manning liveProjects are the perfect blend of independent exploration and guided learning. Each liveProject sets a realistic task and gives you a framework of steps, along with learning response you need to find your own solution. And until midnight July 5, all liveProjects (and liveVideos) are just $10. Only at manning.com.
Build a production-style agentic RAG system that turns massive documents like the EU AI Act into trustworthy, citation-backed answers using hybrid retrieval, Pydantic AI, LangGraph, Qdrant, and FastAPI—ready to adapt to any enterprise knowledge base. [Read more]
Explore practical AI problem-solving through three real-world roles: librarian, investigative journalist, and data analyst. Create engaging content around a classic short story, analyze a self-driving car accident report, and use ChatGPT’s Python tools to investigate FAA bird strike data. Along the way, you’ll learn AI productivity techniques, multimodal workflows, and how to use ChatGPT to improve analysis and decision-making. [Read more]
In liveProject you complete a real project broken down into achievable steps. Each project includes access to awesome Manning book and video resources and the opportunity to collaborate with other participants. In liveProject, you learn by doing.
Complete the project at your own pace and check your progress using self-assessment and peer review
Compare your results to other projects and to an expert implementation created by the liveProject author
Access a carefully selected library of relevant Manning books and videos included
When you’re finished, you’ll have the satisfaction that comes with success and a real project to add to your portfolio.
Build an AI-powered chatbot for a local pet refuge that combines expertise with a compassionate personality. Starting with prompt engineering and persona design, you’ll add search, multi-use-case handling, and scheduling features using OpenAI’s API, LangChain, and LangGraph. By the end, you’ll have a capable AI agent that blends empathy, knowledge retrieval, and intelligent routing. [Read more]
Take on the role of a data scientist and build a self-hosted LLM from the ground up. Implement the Llama 3.2 architecture, then fine-tune it for lead classification and HTML code generation. Using Unsloth and free Colab GPUs, you’ll create a flexible, efficient model while gaining hands-on experience with transformers and LLM customization. [Read more]
Develop a chemistry tutoring chatbot for a school district using open-source LLM tools. Build a resource-efficient application that runs on older hardware, add a chemistry-focused knowledge base to reduce hallucinations, and fine-tune the model for safe, effective agent-based workflows. You'll gain experience with tools like WasmEdge, LlamaEdge, Gaia, Qdrant, Python, and UnSloth. [Read more]
Bestseller! Master and Build Large Language Models—just $10!
In this engaging liveVideo, veteran AI researcher Sebastian Raschka leads you step by step through the inner workings of a large language model. You'll see and hear Sebastian talk you through each step of the LLM project you build in his bestselling book Build a Large Language Model (From Scratch).
This unique course also includes six essential prerequisite videos created by AI expert Abhinav Kimothi, author of A Simple Guide to Retrieval Augmented Generation. Abhinav delivers an insightful review of everything from the Python
features you need to work on LLMs to advanced PyTorch operations, ensuring you can succeed regardless of your starting point. [Read more]
Build a high-performance trading platform in Rust for professional traders. Create account management tools, a matching engine, and a web API while gaining hands-on experience with Rust’s type system, ownership model, asynchronous programming, and performance-focused design. [Read more]
Modernize a monolithic e-commerce backend by building lightweight microservices with Rust and WebAssembly. Create scalable services, integrate with MySQL, orchestrate containers with Docker, and simplify distributed systems using Dapr. [Read more]
Learn the mathematical foundations of machine learning through hands-on projects covering Bayes' theorem, PCA, cosine similarity, language models, and backpropagation. Apply these techniques to real-world sustainability and data science challenges. [Read more]
Apply Bayesian and time series methods to real-world forecasting problems in travel and hospitality. Build models with ARIMA, PyMC3, TensorFlow Probability, and Prophet while learning to quantify uncertainty and improve predictions. [Read more]
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