Build & Deploy End-to-End with fast.ai
Consolidating skills into a full train-and-deploy workflow turns knowledge into shippable capability.
Learn it
Work through fast.ai's free 'Practical Deep Learning for Coders' lessons, which teach a top-down, results-first workflow using PyTorch and fastai across vision, text, and tabular data, and show how to deploy models using free resources.
By the end you’ll be able to
- Train state-of-the-art models with the fastai high-level API
- Deploy a trained model as a simple web app
Free resources
Practice
Complete the first two lessons and deploy the lesson-1 image classifier as a small hosted demo using the free tooling shown.
Build it — your output
A deployed, shareable model demo (e.g., an image classifier web app) built with fastai.
Prove it — check yourself
You’re ready to move on when you can honestly say yes to each:
- Can you use the learning-rate finder to pick a rate?
- Can you fine-tune a pretrained model in a few lines of fastai?
- Can you export a model and serve predictions?
Do it with AI
Use a free AI tool as your tutor and pair-programmer. Copy a prompt below into Claude, ChatGPT, or Gemini (for building, try Cursor or Copilot).
The habit: Try it yourself first — a little struggle is where the learning actually happens. Then ask for a hint before the answer — never copy blindly.
- Understand itClaude / ChatGPT / Gemini
I'm a beginner learning "Build & Deploy End-to-End with fast.ai". Explain it in simple terms with a real-world analogy, then ask me ONE question to check my understanding — don't reveal the answer.
- PracticeClaude / ChatGPT / Gemini
Give me 3 short practice problems on "Build & Deploy End-to-End with fast.ai" (my goal: train state-of-the-art models with the fastai high-level api), from easy to hard. Don't include the solutions yet — I'll try them first, then ask you to check.
- Get unstuckClaude / ChatGPT / Gemini
I'm stuck on this exercise about "Build & Deploy End-to-End with fast.ai": [paste your attempt here]. Give me ONE small hint to move forward — do NOT give me the full solution.
- Build & reviewCursor / Copilot
Here is my work for a "Build & Deploy End-to-End with fast.ai" task: [paste your code or answer]. Review it: point out what's wrong and WHY, and suggest improvements — but let me make the fixes myself.
- Prove itClaude / ChatGPT / Gemini
Quiz me on "Build & Deploy End-to-End with fast.ai". Ask me 5 questions one at a time, wait for my answer each time, then tell me if I'm right and briefly why.