AI Fundamentals: Building Technical Knowledge From the Ground Up

AI Fundamentals: Building Technical Knowledge from the Ground Up

Stop being intimidated by AI. Start understanding it.

AI Fundamentals represents my commitment to democratizing AI knowledge, ensuring that students, professionals, enthusiasts, and anyone curious about AI has the technical literacy needed to participate confidently in the AI revolution.

Artificial intelligence is no longer science fiction – it’s the technology reshaping how we work, communicate, and solve problems across every industry. Yet for most business professionals, AI remains frustratingly opaque. You know it’s important. You know your organization needs to engage with it. But the gap between AI’s obvious significance and your ability to understand and apply it feels insurmountable.

The decisions being made about AI development and deployment today will shape technology’s impact on society for decades to come. These decisions shouldn’t be made exclusively by technologists – they require input from business leaders, domain experts, and thoughtful professionals who understand both capabilities and consequences.

By developing genuine AI literacy, you become part of the solution to building AI systems that create value while serving human needs responsibly. The technical knowledge you’ll gain isn’t just professional development – it’s preparation for participating in one of the most important technological transformations in human history.

Chapter Outline

1: The Evolution of Artificial Intelligence
2: Understanding AI Fundamentals
3: Traditional Machine Learning Approaches
4: Introduction to Deep Learning
5: AI Application Domains
6: Large Language Models and Transformers
7: LLM Applications and Implementation Patterns
8: MLOps and Production AI Systems
9: Ethical AI and Responsible Development
10: Emerging Trends and Future Directions
11: Practical Implementation Guide

Frequently Asked Questions

Who is AI Fundamentals for?

This book is intended for anyone interested in learning more about AI. Technical expertise is not necessary. The book introduces the concepts you need to understand how to implement AI.

But I’m not technical… not a developer?

This book is designed for non-technical people. But, it doesn’t leave you there. In the book, concepts are introduced one by one using analogies and stories. Each concept builds on previous ones.

What types are AI are covered?

The book begins with the history of AI, and covers concepts important for traditional AI and machine learning, as well as introducing LLM-based applications.

Is this just theoretical knowledge?

No! While the book introduces the reader to theoretical concepts, it doesn’t stop there. It builds on this knowledge with practical information needed to implement AI.