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by Jordan Blake

The Ultimate Generative AI For Beginners Collection: The 3-in-1 Guide to Learn AI, Deep Learning & ChatGPT in Just Minutes a Day with Hands-On Projects – Even if You're Not Tech-Savvy — Digital Edition (PDF)

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Three Books. One Path From AI Beginner to Confident Builder.

  • Book 1: AI and machine learning foundations, ChatGPT, creative and career projects
  • Book 2: transformers, LLMs, GANs, and practical applications across industries
  • Book 3: neural networks, CNNs, TensorFlow, PyTorch, and hands-on projects
  • Instant PDF download — read on any device
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Product description

Digital Edition — instant download. The complete 495-page collection as a beautifully typeset PDF, cover to cover: read it on any device, print any page.

Three complete books in one volume — a full path from your first AI conversation to building and deploying your own models.

Whether you're an absolute beginner or looking to sharpen your AI expertise, this collection takes you on a transformative journey through Generative AI, Deep Learning, and Neural Networks. It combines three essential books by Jordan Blake into one well-rounded course: beginner-friendly introductions, advanced concepts explained without stress, and hands-on projects you can finish in minutes a day.

Inside the collection:

  • Book 1 — The Beginner Generative AI Handbook: demystify AI and machine learning, get acquainted with ChatGPT and other AI platforms, use AI in arts, design, and writing, upskill for the AI job market, and practice responsible, inclusive AI — with hands-on exercises at the end of every chapter
  • Book 2 — The Ultimate Generative AI Guidebook: the foundations of neural networks, transformers, large language models, and GANs; advanced concepts like attention mechanisms and autoencoders; practical applications in content creation, web development, e-commerce, chatbots, healthcare, and finance; tools and platforms; ethics; and AI career paths
  • Book 3 — The Essentials of AI Deep Learning and Neural Networks: perceptrons, activation functions, and backpropagation; CNNs, RNNs, transformers, and autoencoders; TensorFlow, PyTorch, Keras, and scikit-learn; data analysis and visualization; and real-world projects including sentiment analysis, image classification, and a recommender system built from scratch

What you get: the complete 495-page PDF (front cover to back cover), delivered by email after checkout. Yours to keep on any device.

This book is for educational purposes and is not professional advice. Results vary with individual effort and circumstances.

Meet the Author
J

Jordan Blake

NEXTGEN AI PUBLICATIONS

Jordan Blake writes about artificial intelligence for the people who use it but never get to see behind the curtain. With a gift for turning dense, fast-moving technology into clear, human stories, Jordan has become a trusted guide for readers who want to understand the forces reshaping their work and their future — without a computer science degree and without the hype.