Don't restrict yourself to a single learning method. This week, pick up a Manning book for a traditional approach, or dive into an interactive liveProject or liveVideo for only $20! Check out new approaches to learning and see your skills soar.
New MEAP! Crack Any Codebase with AI—HALF OFF!
Code is free, understanding is not
Author and Microsoft AI researcher 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. This book transforms this thesis into a hands-on training program, reframing AI code’s flaws as workout opportunities for your skills as a developer.
The ten mental models you’ll master in this book are timeless, and the book’s transferable methodology works on any codebase, in any language, at any scale. Every chapter teaches you to ask sharper questions and demand
concrete outputs. You’ll build the muscle to interrogate AI, catch its confident nonsense, and ship real changes in hours. [Read more]
5 chapters of this new MEAP are available now with more to follow soon!
New MEAP! Web Component Development with Modern Libraries and Tooling—HALF OFF!
Build, test, and scale framework-agnostic web components
Development teams increasingly face pressure to future-proof their code—and that makes framework lock-in a serious liability. 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 Web Component Development with Modern Libraries and Tooling, you’ll learn how to build reusable web components that last well beyond the next library update.
In each chapter, you’ll work on progressively more sophisticated example components
including hello-world, google-button, radio-group, sortable-table, and traffic-light. Every example is chosen to illustrate concepts in a flexible way you can adapt to your own real-world projects. And unlike scattered blog posts and lightweight video tutorials, this substantial book provides both a clear structured learning path and a valuable reference for your future projects. [Read more]
6 chapters of this new MEAP are available now with more to follow soon!
Cloud native systems are made up of hundreds of moving parts. When something goes wrong, it’s not enough to know there is a problem—you need to know where it is, what it is, and how to fix it.
We’ve teamed up with Chronosphere, a Palo Alto Networks Company, to give away free chapters of Cloud Observability in Action. This eBook dives into how to get the most from observability in cloud native systems, signals (including costs and benefits) to look out for, and how to leverage open source tools.
Build Your LLM and Fine-Tune it for Real Tasks—just $20!
Socratic liveProjects pair you with an AI tutor to help you learn by doing, in real time.
In this liveProject series, you’ll take on the role of a data scientist at X Education, tasked with building a self-hosted LLM to cut costs and boost productivity. You’ll code the Llama 3.2 architecture from scratch to master transformers, then work to fine-tune it for lead classification for the marketing team, and adapt it for HTML code generation to support your overworked developer colleagues. Using Unsloth to speed up training on free Colab GPUs, you’ll finish with a fully
working LLM that’s flexible, efficient, and free from vendor lock-in. [See more]
Step into the world of AI-powered problem solving! In this hands-on series of liveProjects, you will use ChatGPT as an AI collaborator to tackle real-world research, investigation, and data analysis challenges. You will create engaging exhibition content from a classic American short story, investigate the causes of a self-driving car accident using an NTSB report, and analyze FAA bird strike data with ChatGPT-generated Python code. Along the way, you will learn practical AI productivity techniques, integrate multimodal workflows, and develop the ability to use ChatGPT to enhance your thinking
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]
Deliver a chatbot capable of everything from troubleshooting tech issues to answering queries about product specifications. You’ll integrate GPT-3.5 into a chatbot to understand user questions and retrieve related embeddings, utilize ChromaDB to manage storage and retrieval, and then deploy the whole system via Streamlit. [Read more]
Put on your data scientist hat for this series of liveProjects! In each project, you’ll focus on different machine learning (ML) and deep learning (DL) mathematical approaches—including Bayes' theorem, principal component analysis (PCA), cosine similarity, latent semantic analysis, and backpropagation through the lens of a company looking to understand and improve its own sustainability. [Read more]
Build an AI pipeline to help wildlife organizations identify and monitor elephants in images. You’ll create a CNN to classify Asian vs. African elephants, improve accuracy with transfer learning (Xception and MobileNet), and use YOLOv8 segmentation for precise detection and localization, gaining hands-on experience with CNNs, transfer learning, and real-world computer vision. [Read more]
Algorithms power effective software by providing clear, step-by-step solutions to common problems, and mastering them is essential for both real-world coding and technical interviews. In this series of liveProjects, you’ll work as part of an IT team tasked with improving business efficiency and customer experience through hands-on algorithmic solutions. Each project applies core algorithm concepts to practical scenarios, helping you turn theory into working code. [Read more]
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