Welcome to Mastering AI Models and Agents

There are dozens of AI models and agents available right now. GPT-4o, Claude, Gemini, DeepSeek, Qwen, Llama, plus agents like Kiro, Cursor, and Windsurf that use them under the hood. Most people pick one and never think about it again. They overpay, get mediocre results, and don't understand why.

This course changes that. You'll learn which model to use for which task, how to write prompts that work across all of them, and how to cut your costs without losing quality.

What You'll Learn

• The model landscape: What's out there, who makes it, and what each family is good at
• Model selection: A decision framework for picking the right model every time
• Prompting: Techniques that work everywhere, plus model-specific tricks
• Cost control: Token optimization, caching, routing cheap tasks to cheap models
• Local models: When to run Ollama instead of paying for cloud APIs
• Evaluation: How to test which model actually works best for your use case

Why This Course?

Using GPT-4o for everything is like driving a truck to get groceries. It works, but you're burning fuel for no reason. A task that costs $0.01 doesn't need a model that charges $0.03. A simple classification doesn't need a reasoning model that thinks for 30 seconds before answering.

The difference between someone who understands models and someone who doesn't: same quality output, 5 to 10x lower cost, faster responses.

Prerequisites

Basic familiarity with AI chat tools (ChatGPT, Claude, or similar). You've used them but want to use them better. No programming required for most lessons. A few lessons use curl or Ollama for hands-on examples.

Course Structure

12 lessons. Each one is self-contained, so you can read them in order or jump to what you need. The first half covers model selection and prompting. The second half covers optimization, local models, and staying current as new models release weekly.