Strategy

A progression from AI basics to real-world shipping.

Here's a progression that builds naturally from foundations to more advanced territory:

This is not a fixed curriculum or the only path forward. It is a general learning arc that starts with the basics, moves into building, and then expands into deeper and more practical usage. The goal is to learn AI in a way that is shareable, usable, and grounded in real work.

Foundations

  • Getting More from LLMs: Prompt Engineering That Actually Works
  • Navigating the AI Landscape: Models, APIs, and How to Choose

Building Things

  • Your First AI-Powered App: From API Call to Working Prototype
  • Giving AI Tools to Use: An Introduction to Function Calling
  • Retrieval-Augmented Generation: Making AI Work With Your Own Data

Going Deeper

  • Building Agents: When AI Starts Making Decisions
  • Evaluating AI Output: How Do You Know When It's Good Enough?
  • Fine-Tuning vs. Prompting: When to Train and When Not To

Real-World Perspectives

  • What Business Actually Needs From AI: An Open Panel
  • AI in Production: Reliability, Cost, and the Messy Reality