Learn AI From the Ground Up
A free, expert-backed curriculum that takes you from "what is AI?" to building production systems. No fluff. No gatekeeping. Just practical knowledge.
Built for Curious People, Not Computer Scientists
I use AI at work but feel like I'm guessing
You've tried ChatGPT or Claude but can't consistently get great results. You want to understand why some prompts work and others don't, and build real confidence.
I want to build things with AI but don't know where to start
You have ideas for AI-powered tools or workflows but the jump from chat to code feels huge. This course takes you from conversations to production systems step by step.
I'm technical but haven't gone deep on AI yet
You can code and ship products but AI still feels like a black box. You want a structured path from fundamentals to building agents and deploying production systems.
What You'll Walk Away With
Understand how AI actually works — not the hype version
Write prompts that consistently produce useful results
Choose the right AI model for any task
Build AI-powered tools and agents with real code
Deploy AI systems that are reliable, safe, and cost-effective
Navigate the ethical and regulatory landscape responsibly
Your Learning Path
Four tracks, twelve modules, one clear path from beginner to expert.
No experience needed. Learn the fundamentals of AI and how to have your first productive conversation.
What is AI?
Mental models for understanding artificial intelligence
Cut through the hype. Learn how AI actually works, what LLMs are, and build the right mental models for everything that follows.
Your First Conversation
How to talk to AI and get useful results
Learn the basics of interacting with AI — how to ask good questions, iterate on responses, and avoid the most common beginner mistakes.
Prompt Fundamentals
The CTCO framework for clear, effective prompts
Master the four building blocks of every great prompt: Context, Task, Constraints, and Output. The foundation for everything advanced.
Level up your prompting skills, understand context engineering, and learn to choose the right AI for the job.
Advanced Prompting
Few-shot, chain-of-thought, and beyond
Go beyond basic prompts with techniques used by AI researchers and power users: few-shot examples, chain-of-thought reasoning, and meta-prompting.
Context Engineering
Giving AI the right information at the right time
Understand context windows, learn to manage information flow, and discover how RAG systems extend AI beyond its training data.
Choosing Your AI
Model comparison and when to use what
Claude, GPT, Gemini, open-source models — learn the real differences, strengths, and ideal use cases for each major AI platform.
Build real systems — system prompts, API integrations, and autonomous AI agents.
System Prompts & Configuration
Building persistent AI behavior with system-level instructions
Write production-quality system prompts, CLAUDE.md files, and project configurations that make AI behave exactly how you need it to.
AI Tools & APIs
Building with AI programmatically
Move beyond chat interfaces. Learn to use AI APIs, handle authentication, manage rate limits, and build AI-powered applications.
Building AI Agents
Autonomous systems that use tools and make decisions
Design agent architectures, implement tool use, work with MCP, and orchestrate multi-agent systems that solve complex problems.
Production deployment, ethics, safety, and the cutting edge of what's next in AI.
Production AI Systems
Deploying, monitoring, and scaling AI in the real world
Take AI from prototype to production. Monitoring, cost optimization, error handling, and scaling strategies for real workloads.
AI Ethics & Safety
Responsible AI use, bias, and governance
Understand the ethical landscape of AI — bias detection, prompt injection defense, responsible deployment, and governance frameworks.
The Future of AI
Where things are heading and how to stay ahead
Explore emerging trends, skills worth investing in, career paths in AI, and how to build a practice of continuous learning.
Latest in AI
The most important developments, explained simply.
Google Releases Gemma 4 Open Models Under Apache 2.0
Google DeepMind releases Gemma 4, a family of four open models (E2B, E4B, 26B MoE, 31B Dense) built on Gemini 3 research. The 31B Dense ranks #3 among open models on the Arena AI leaderboard, scoring 89.2% on AIME 2026 and 80.0% on LiveCodeBench v6. First Gemma release under a fully OSI-approved Apache 2.0 license.
California Issues First-of-Its-Kind AI Executive Order
Governor Newsom signs an executive order setting new AI procurement standards for state contracts, directing the California Department of Technology to create first-in-the-nation recommendations for watermarking AI-generated content, and enabling the state to separate its AI procurement process from the federal government.
Google Releases Gemini 3.1 Flash Live
Google releases Gemini 3.1 Flash Live, a real-time multimodal voice model for low-latency conversations with audio, video, and tool use. Supports 90+ languages and rolls out across 200+ countries via Search Live and the Gemini API.
Ready to Start?
Module 1 takes about 20 minutes and requires zero prior experience. By the end, you'll understand how AI actually works — not the hype, the reality.
Written by AI practitioners. Updated weekly. Always free.
Begin Module 1