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  1. Product Engineering with AI
    A practical guide to product engineering in an AI native era
    Addy Osmani and Hassan Djirdeh

    A practical guide to product engineering in an AI native era, where building shifts from manual construction to steering tools, editors, and agents. Product Engineering with AI covers platforms, agentic workflows, prompting, code quality, UX, and responsible practices for getting from prototype to production. 

  2. OpenIntro Statistics
    Includes 1st, 2nd, 3rd, and 4th Editions
    OpenIntro, Christopher Barr, Mine Cetinkaya-Rundel, and David Diez

    A complete foundation for Statistics, also serving as a foundation for Data Science. Leanpub revenue supports OpenIntro (US-based nonprofit) so we can provide free desk copies to teachers interested in using OpenIntro Statistics in the classroom and expand the project to support free textbooks in other subjects. More resources: openintro.org.

  3. Practical Kotlin Deep Dive
    Unlocking the 'How' and 'Why' behind Kotlin fundamentals and internal mechanisms.
    Jaewoong

    Takes you from “how to use Kotlin” into “how Kotlin really works,” revealing the internal implementations, desmifying bytecodes and compiler behavior, and internals that shape the language. If you want to write smarter, more confident Kotlin across fundamentals, coroutines, and multiplatform, this is the book that shows you why everything is the way it is.

  4. The SysML v2 Book
    Practical Insights and Comprehensive Reference
    Tim Weilkiens and Vince Molnár

    Learn SysML v2 with the ultimate guide for all skill levels in MBSE. Authored by insiders, it's your key to unlocking the full potential of system modeling and a passport to mastering your MBSE.

  5. A clear, illustrated guide to large language models, covering key concepts and practical applications. Ideal for projects, interviews, or personal learning.

  6. How to Build and Fine-Tune a Small Language Model
    A Step-by-Step Guide for Beginners, Researchers, and Non-Programmers
    J. Paul Liu

    You don’t need massive compute or big-tech resources to build real AI. This hands-on guide shows you how to build and fine-tune your own small language model—from scratch—using accessible tools like Google Colab. Learn transformers step-by-step, train and align models on your own data, and deploy practical AI systems that run on consumer GPUs. If you’ve ever wondered “Can I build my own model?”—this book proves the answer is yes.

  1. Big Kotlin pack
    Marcin Moskała
    No Description Available
  2. This bundle includes the books “Residues: Time, Change and Uncertainty in Software Architecture” and “The Architect’s Paradox: Uncertainty and the Philosophy of Software Architecture” by Barry M O’Reilly. The books complement each other, with Residues giving a practical description of how to apply residuality theory and The Architect’s Paradox...

  3. No Description Available
  4. In the 21st century, data science has become an integral part of the work culture at every manufacturing industry and process industry is no exception to this modern phenomenon. From predictive maintenance to process monitoring, fault diagnosis to advanced process control, machine learning-based solutions are being used to achieve higher process...

  5. This trilogy on change, leadership and strategy explores timeless patterns for sustainable success in turbulent times. It helps you think and act from first principles while being mindful of context.

  6. Learn about all major C++17 changes, plus the Story of lambda expressions across recent C++ versions, and then various aspects of Initialization. All to improve your knowledge about Modern C++.

  1. Stratospheric - From Zero to Production with Spring Boot and AWS
    Hands-on online course to learn all you need to know to get a Spring Boot application into production with AWS.
    Philip Riecks, Björn Wilmsmann, and Tom Hombergs

    Hands-on online course to learn all you need to know to get a Spring Boot application into production with AWS. Visit our landing page for a tour of the contents. Make sure to get familiar with all available bundle options before enrolling.

  2. Microservices Masterclass
    David Farley and CourseAI

    Microservices are a great approach for building software at scale. But although the ideas at the root of microservices may sound simple, this is not a simple approach. There are several big traps along the way, and it's important to avoid them...

  3. Master language models through mathematics, illustrations, and code―and build your own from scratch! This course includes nearly three hours of exclusive video interviews with the author, covering questions related to each of the six lessons included in the course.

  4. Machine Learning Made Simple
    8 Pillar Machine Learning Algorithms in Python
    Christian Mayer and Lukas Rieger

    This course gives you an intuitive understanding of the eight most important machine learning algorithms. It helps you get started using them in your own projects NOW -- in a single line of Python code. After finishing this course, you'll be able to select, understand, and implement the top 8 machine learning algorithms in your own projects.

  5. Dirty Data Dojo: Cleaning Data (Excel & Python)
    Learn to Clean Your Dirty Data in Minutes, not Months
    Lee Baker

    Data cleaning is a serious business – you’ll typically spend 80% of your analysis time cleaning data! In this course you’ll learn how to clean your data in a fraction of the time. The steps you’ll learn are very simple to follow, but are extremely effective, so you’ll know that you’re getting the best start possible, saving you weeks of misery!

  6. Python Programming Bootcamp for Scientists
    A Python course for people without programming background
    Gábor Szabó

    This course was primarily designed for Chemistry, Biology, Physics, Life Sciences, or Psychology students and researchers, who have no programming background, but would like to take their first steps in creating tools to help with data analysis and their research in general.

  1. AI Masterclass
    Henrik Kniberg, Obie Fernandez, and Andriy Burkov

    About the Track: AI Masterclass Artificial Intelligence is reshaping the way we live, work, and build technology. The AI Masterclass Track brings together three powerful courses from world-class experts to give you a comprehensive, practical, and hands-on education in the age of AI. Whether you want to understand the big picture, apply AI...

  2. Taking this bundle, you'll get a comprehensive set of courses that cover almost the whole surface of the .NET framework.The big topics that are covered:WPFMVVMSpecFlow and SeleniumLINQMultithreading and Parallel ProgrammingC# in Depth: Puzzles and GotchasAlgorithms and Data Structures in C#VS and R#and engineering practices:Unit Testing with...

  3. Kotlin for developers
    Marcin Moskała

    This is the complete track to learn about essential Kotlin features and get ready for working in Kotlin in daily basis. It starts from essentials, and on the way reaches advanced topics like efficient collection processing or DSL creation.

  4. "Shut up and code." Laughter in the audience. The hacker had just plugged in his notebook and started sharing his screen to present his super-smart Python script. "Shut up and code" The letters written in a white literal coding font on black background was the hackers' home screen background mantra. At the time, I was a first-year computer...

  5. Real World Python
    Lukas Rieger and Christian Mayer

    Learn Python the Practical Way - In this course you learn all the basics of the Python programming language. It contains exercises, explanatory videos, an example solution and a quiz. This will enable you to apply your skills to a wide range of real world problems.A collection of more Python exercises - Exercises with solutions to continue...

  6. A Simple Path to Python Success
    Christian Mayer, Lukas Rieger, and Shubham Sayon

    Python is the fastest-growing major programming language on the planet. This practical course set will teach you Python in a hands-on, highly practical way that guarantees your success. All you need to go from zero to completing your own Python projects in a relaxed, student-centric, and fun environment. Create yourself a new skill that'll bring...