AI Masterclass

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 patterns in real-world software, or dive deep into the mathematics and code behind large language models, this Track has you covered. Why take this Track? Together, these three courses form a complete journey through today’s AI landscape—from understanding generative AI at a strategic and practical level, to applying proven patterns in software development, to mastering the technical foundations of LLMs. You’ll gain not only knowledge but also exercises, quizzes, and code examples that ensure you can confidently apply what you’ve learned in your work. Don’t fall behind or just keep up with AI—master it. Courses Included Generative AI in a Nutshell - Henrik Kniberg A fast-paced, visual, and practical guide to the strange new world of Generative AI. With Henrik’s signature hand-drawn illustrations and down-to-earth explanations, you’ll explore what generative AI is, how it works, how to use it, and how to lead through this transformation—without drowning in jargon or hype. Patterns of Application Development Using AI - Obie Fernandez Learn pragmatic patterns and principles for integrating AI into real-world applications. Drawing from his experience building an AI-powered platform, Obie introduces practical design patterns like “Multitude of Workers” and “Self-Healing Data,” helping you unlock the power of AI in adaptive, user-centric systems. The Hundred-Page Language Models Course - Andriy Burkov A concise yet thorough guide to modern Large Language Models, blending math, illustrations, and hands-on coding. You’ll build your own models from scratch in Python, understand transformers, and explore instruction fine-tuning—all while benefiting from Andriy’s clear explanations and exclusive video content.

Applied Conformal Prediction:Practical Uncertainty Quantification for Real-World ML

conformal prediction uncertainty quantification machine learning forecasting trustworthy ai risk prediction model calibration

C++20 - The Complete Guide

C++20, Josuttis, Nicolai, C++, Standard, Tutorial, modules, concepts, coroutines, ranges, views, language, library, jthread

Leanpub Book LAUNCH 🚀 Rethinking Capital Project Delivery: Agentic AI–Driven Strategies for the New Era by Edward Abramowich

Rethinking Capital Project Delivery: Agentic AI-Driven Strategies for the New Era is a bold reimagining of how large scale capital projects are conceived, designed and delivered in an age of rapid technological change. Drawing on insights from frontier sectors like aerospace, energy and advanced manufacturing, this book makes the case for moving beyond rigid, legacy delivery models and embracing an adaptive, product centric mindset.

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