6-Week Fast Track

AI Engineering Fast Track

A structured 6-week overview of the full AI engineering stack — free resources only. Inspired by the ByteByteAI course.

Use this if you need results fast — not a replacement for the full roadmap

Goal

This plan is not a replacement for the ByteByteAI course — it's preparation for it. Complete this first and you will either match the course pace from day one, or progress through it significantly faster because the core concepts will already be familiar.

Before You Start

Google Colab account

No local setup needed — runs Python in your browser for free

Claude.ai or ChatGPT account

Free tier is enough for prompt practice

4–6 hours per week

Enough to complete the resources and mini-project each week

How LLMs Actually WorkPhase 1 — Foundations

Week 1 · ~4–6 hrs

Set Up Your AI EnvironmentPhase 2 — LLM Setup

Week 2 · ~4–6 hrs

Prompt EngineeringPhase 3 — Prompting & APIs

Week 3 · ~4–6 hrs

RAG — Making AI Know Your DataPhase 4 — RAG & Data

Week 4 · ~4–6 hrs

Agentic AI & Tool UsePhase 5 — Agentic AI

Week 5 · ~4–6 hrs

Fine-Tuning & Multimodal AIPhases 6–7 — Training & Beyond

Week 6 · ~4–6 hrs

Essential Free Tools

Google Colab

Run Python/AI code in browser, free GPU

Ollama

Run LLMs locally for free

Hugging Face

Models, datasets, free Spaces

LangChain

Build RAG & agent apps

Claude.ai

Prompt engineering practice

ChatGPT

Prompt engineering practice

How This Connects to the Roadmap

This 6-week plan is a deliberate survey — one structured pass across every major layer of the AI stack. The Roadmap tab then guides you through each phase at the appropriate depth, with curated resources and hands-on projects to build production-level expertise.

Treat this plan as orientation — a map of the terrain before committing to the full journey.

Click each week to expand · Resources open in a new tab