Learning Artificial Intelligence with Hands-On Projects: A Practical Guide for Programmers

Learn Artificial Intelligence with Hands-On Projects — A Practical Guide for Programmers
Are you a developer or aspiring coder looking to break into the world of Artificial Intelligence and Machine Learning?
Learning AI for Programmers is your complete, beginner-friendly guide to understanding and building real-world AI applications using Python, neural networks, and popular AI frameworks.
Inside this book, you'll discover how to:

• Grasp the key concepts of AI and Machine Learning
• Choose the best programming languages and tools for AI development
• Build your first AI model step-by-step
• Work with deep learning and understand how neural networks function
• Use industry-standard tools like TensorFlow, PyTorch, and scikit-learn
• Clean, preprocess, and structure real-world data for training AI systems
• Evaluate your models using performance metrics
• Explore the role of ethics in artificial intelligence
• Stay ahead with insights on future AI trends and technologies

Whether you're a software engineer, data science student, or self-taught programmer, this book provides a solid foundation in AI development — no PhD required.
If you've been searching for a hands-on, easy-to-follow, and modern guide to AI programming, your journey starts here.