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Introduction to Generative AI with Julia and Python
Elevate your coding capabilities and gain the skills necessary for maximized performance and career opportunities in the field of Artificial Intelligence. This book is a step-by-step guide designed to equip software engineers with solid foundation of Generative AI basics. The book begins by introducing Generative AI using Google Colab to establish a solid foundation, before demonstrating how to leverage Python and Julia's AI capabilities to construct Artificial Neural Networks. You'll then explore advanced AI models, such as variational autoencoders, in order to generative images and text. Author Pierluigi Riti not only navigates the complexities of this emerging topic but fills a crucial gap by guiding software engineers through theory before leading them to produce different types of models using only free resources. What You Will Learn Acquire a solid foundation of Generative AI basics.Utilize the capabilities of Python and Julia to constructure Artificial Neural NetworksExplore advanced AI models including variational autoencoders, to generate images Survey different architectures for AI and utilize free resources to produce different AI Who This Book Is For Programmers new to artificial intelligence, but with a fundamental grasp of Python.
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Developer's Guide to AI
A practical, accessible guide that shows working software developers how to integrate real AI features into the applications they already build—using JavaScript, Python, APIs, and modern cloud services, without needing a data-science background.Working developers everywhere now use AI tools, but most still struggle to turn prompts and prototypes into reliable software features. The Developer’s Guide to AI teaches engineers how to build real, maintainable AI capabilities using the tools they already know—JavaScript, Python, APIs, vector search, and simple agent workflows—without advanced math or machine learning.Readers learn where AI belongs in an application, how to design around real-world constraints like latency and cost, and how to avoid the brittle prototypes that fail under changing requirements. With clear examples and production-focused patterns, this book helps developers ship AI features that last.
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