Zero to AI Engineer in 30 Days
A free, sequenced path through AI School courses. Spend 30-60 minutes a day and go from a blank laptop to shipping real AI agents, RAG apps, and production-ready systems. One day at a time, every day builds on the last.
Your progress is saved on this device only. No account needed, no cost, ever.
Phase 1: Foundations
Days 1-7. Set up your tools and build the mental models every AI engineer relies on.
Set Up Your AI Dev Environment
Install Python, grab an API key, and configure the exact toolchain you will use for the next 29 days.
Prompt Engineering Basics
Learn to write prompts that get reliable results, the single highest-leverage AI skill you can build.
How AI Models Work
Understand LLMs, tokens, context windows, and how to pick the right model for the job. Start with the first topics of this track.
Prompt Patterns You Can Reuse
Study proven prompt patterns and templates you can copy straight into real work today.
The AI Tool Landscape
Get a working map of the tools engineers actually use, so nothing on a job posting surprises you.
AI-Assisted Coding
Learn to code faster with AI pair programmers and make them a daily habit, not a novelty.
AI APIs 101
See how AI APIs work end to end: auth, requests, responses, rate limits, and costs. Week 1 complete!
Phase 2: Working with Claude and LLM APIs
Days 8-15. Stop reading about AI and start building with it, one small working project at a time.
Claude Fundamentals
Learn the Claude model family, the Messages API, and the patterns behind everything you build this week.
Build a Claude Chatbot
Write your first real AI program: a working chatbot with conversation memory, in under an hour.
Structured Output
Make the model return clean JSON your code can trust, the key to using AI inside real software.
Streaming Responses
Add the live "typing" effect users expect, and learn why streaming matters for perceived speed.
Analyze Images with AI
Go multimodal: send images to the model and extract descriptions, text, and structured data.
Ship a Real CLI Tool
Build an AI commit message generator you will genuinely use at work from tomorrow onward.
Build an AI Web App
Turn your scripts into a shareable web app with Streamlit, something you can demo to anyone.
AI Frameworks Overview
Survey LangChain and the wider framework ecosystem so you know what to reach for and when. Halfway there!
Phase 3: Agents, RAG and Production
Days 16-23. Build the systems companies are hiring for right now: agents, retrieval, and production hardening.
Intro to AI Agents
Learn what agents really are: models in a loop with tools. Start with the first topics of this track.
Build Your First Agent
Hands-on: give a model tools and watch it plan, act, and solve a task on its own.
Vector Databases
Understand embeddings and vector search, the storage layer behind every RAG system.
Chat with Documents (RAG)
Build retrieval-augmented generation from scratch: chunk, embed, search, and answer with sources.
Chat with PDFs
Apply RAG to the messiest real-world format and ship a "talk to your PDF" app.
AI Observability
Learn to trace, log, and evaluate LLM apps so you can debug them like a professional.
Testing AI Systems
Write evals and tests for non-deterministic software, a skill most engineers still lack.
AI Security
Defend against prompt injection, data leakage, and the attacks unique to LLM applications.
Phase 4: Specialize and Ship
Days 24-30. Round out your profile, prepare for interviews, and finish with a capstone you can show off.
Fine-Tuning Fundamentals
Learn when fine-tuning beats prompting, and how the training pipeline actually works.
AI Data Engineering
Master the pipelines that feed AI systems: ingestion, cleaning, and preparing data at scale.
AI Skills for the Workplace
Turn everything so far into workplace impact: pick the skills that map to your current job.
AI System Design
Practice designing full AI systems end to end, the way senior engineers are asked to in interviews.
Interview Preparation
Rehearse the AI engineering questions hiring managers actually ask, with strong sample answers.
Coding Exam Practice
Sharpen your hands-on coding under time pressure with realistic exam-style exercises.
Capstone: Ship Your Own Agent
Put it all together: design and build an agent that solves a real problem you care about. You made it!