Artificial intelligence is quickly becoming part of everyday life — shaping how we search, write, create, work, and make decisions. But for many people, AI still feels confusing, technical, or overwhelming.

That’s why this guide exists.

Learn AI is a beginner-friendly learning series designed to help you understand artificial intelligence from the ground up — without requiring a technical background.

From understanding what AI actually is, to learning how modern models work, writing better prompts, using AI responsibly, and navigating the risks and opportunities ahead — this guide gives you a structured path to becoming AI literate.

Whether you’re a professional, creator, student, or simply curious, this series will help you build practical understanding of one of the most important technologies shaping the future.

📘 Chapter 0: Quick Start AI Guide

A practical introduction to using AI today. What to try first, what to avoid and how to get immediate value.

Chapter 0: Quick Start AI Guide
New to AI? This quick-start guide covers the basics of artificial intelligence, beginner-friendly tools, prompting tips, and practical ways to start using AI effectively in everyday work and life.
Brandon HimpfenBrandon Himpfen

🧠 Chapter 1: What Is Artificial Intelligence?

Understanding the foundations, terminology and why AI matters.

Chapter 1: What Is Artificial Intelligence?
Learn what artificial intelligence is, how it works, and why it matters. This beginner-friendly guide explains AI, machine learning, generative AI, and the key concepts shaping modern technology.
Brandon HimpfenBrandon Himpfen

⚙️ Chapter 2: How AI Models Work

A simple explanation of models, training, inference and why models behave differently.

Chapter 2: How AI Models Work
Learn how AI models work, including training, inference, tokens, context windows, parameters, and fine-tuning. A beginner-friendly guide to understanding the mechanics behind modern artificial intelligence.
Brandon HimpfenBrandon Himpfen

💬 Chapter 3: Prompting and Talking to AI

How to ask better questions and get better outputs.

Chapter 3: Prompting and Talking to AI
Learn how to prompt AI effectively with beginner-friendly techniques, prompt formulas, examples, and practical strategies to get better results from tools like ChatGPT and other AI assistants.
Brandon HimpfenBrandon Himpfen

🛠️ Chapter 4: Everyday Uses for AI

Practical applications for work, creativity, research and productivity.

Chapter 4: Everyday Uses for AI
Discover practical, everyday uses for AI including writing, research, productivity, planning, brainstorming, coding, and learning. A beginner-friendly guide to using AI effectively in work and daily life.
Brandon HimpfenBrandon Himpfen

🔎 Chapter 5: Understanding AI Risks and Limitations

Hallucinations, bias, misinformation, privacy and overreliance.

Chapter 5: Understanding AI Risks and Limitations
Learn the risks and limitations of AI, including hallucinations, bias, privacy concerns, misinformation, and overreliance. A beginner-friendly guide to using artificial intelligence responsibly and critically.
Brandon HimpfenBrandon Himpfen

🤖 Chapter 6: AI Models, Agents, and Tools

Understanding the modern AI ecosystem.

Chapter 6: AI Models, Agents, and Tools
Learn the differences between AI models, chatbots, copilots, agents, and AI tools. A beginner-friendly guide to understanding the modern AI ecosystem and how its parts fit together.
Brandon HimpfenBrandon Himpfen

🏢 Chapter 7: AI at Work

How businesses and professionals are integrating AI.

Chapter 7: AI at Work
Learn how AI is changing work through productivity, communication, research, customer support, coding, and decision-making. A beginner-friendly guide to understanding AI in the workplace.
Brandon HimpfenBrandon Himpfen

🧭 Chapter 8: AI and the Future of Information

How AI is changing search, trust, content and digital knowledge.

Chapter 8: AI and the Future of Information
Learn how AI is changing search, publishing, trust, provenance, and digital knowledge systems. A beginner-friendly guide to understanding the future of information in the AI era.
Brandon HimpfenBrandon Himpfen

🌍 Chapter 9: What’s Next for AI?

Where the technology is going and what to watch.

Chapter 9: What’s Next for AI?
Explore what’s next for AI, including agents, multimodal systems, specialized models, infrastructure, governance, and trust. A beginner-friendly look at the future of artificial intelligence.
Brandon HimpfenBrandon Himpfen

🎓 Bonus: AI Resources

Glossaries, model references, research, tools and practical frameworks for deeper learning.

AI Resources
A curated collection of AI resources, glossaries, explainers, and reference materials by Brandon Himpfen.
Brandon HimpfenBrandon Himpfen