AI Crash Course: A fun and hands-on introduction to reinforcement learning, deep learning, and artificial intelligence with Python

This friendly and accessible guide to AI theory and programming in Python requires no maths or data science background.

Key Features

• Roll up your sleeves and start programming AI models
• No math, data science, or machine learning background required
• Packed with hands-on examples, illustrations, and clear step-by-step instructions
• 5 hands-on working projects put ideas into action and show step-by-step how to build intelligent software

Book Description

AI is changing the world - and with this book, anyone can start building intelligent software!

Through his best-selling video courses, Hadelin de Ponteves has taught hundreds of thousands of people to write AI software. Now, for the first time, his hands-on, energetic approach is available as a book. Taking a graduated approach that starts with the basics before easing readers into more complicated formulas and notation, Hadelin helps you understand what you really need to build AI systems with reinforcement learning and deep learning. Five full working projects put the ideas into action, showing step-by-step how to build intelligent software using the best and easiest tools for AI programming:

• Google Colab
• Python
• TensorFlow
• Keras
• PyTorch

AI Crash Course teaches everyone to build an AI to work in their applications. Once you've read this book, you're only limited by your imagination.

What you will learn

• Master the key skills of deep learning, reinforcement learning, and deep reinforcement learning
• Understand Q-learning and deep Q-learning
• Learn from friendly, plain English explanations and practical activities
• Build fun projects, including a virtual-self-driving car
• Use AI to solve real-world business problems and win classic video games
• Build an intelligent, virtual robot warehouse worker

Who this book is for

If you want to add AI to your skillset, this book is for you. It doesn't require data science or machine learning knowledge. Just maths basics (high school level).

Table of Contents

1. Welcome to the Robot World
2. Discover Your AI Toolkit
3. Python Fundamentals - Learn How to Code in Python
4. AI Foundation Techniques
5. Your First AI Model - Beware the Bandits!
6. AI for Sales and Advertising - Sell like the Wolf of AI Street
7. Welcome to Q-Learning
8. AI for Logistics - Robots in a Warehouse
9. Going Pro with Artificial Brains - Deep Q-Learning
10. AI for Autonomous Vehicles - Build a Self-Driving Car
11. AI for Business - Minimize Costs with Deep Q-Learning
12. Deep Convolutional Q-Learning
13. AI for Games - Become the Master at Snake
14. Recap and Conclusion