Everything worth learning is already free. What is missing is the right order.
These are complete roadmaps: what to learn, in what sequence, with the best free material we could find for each step and a project at the end of every stage. Open one and start tonight — there is nothing to buy and nothing to sign up for.
The library, right now
Free
NO FEE · NO LOGIN · NO EXPIRY
- Curated, ordered and explained
- A portfolio project at every stage
- Tick items off — progress is remembered
- Filter by level and by format
- Every link goes to the original source
How it works
Free, and never unstructured.
The problem with self-directed learning was never effort, and it was never access — everything here is public. It was the order, and knowing which order is yours. Four steps.
Pick a direction
Open whichever path looks like yours — nothing here is gated. If you genuinely cannot choose, that is what the counselling session is for.
Follow the map
Curated modules — videos, docs, exercises — sequenced so each one earns the next.
Build projects
Every path ends in a portfolio-worthy build you can defend in an interview.
Add the AI layer
Then fold AI into that specific role — the workflows, the tools and the judgement that make one person do the work of several.
Learning paths
Two ways in.
Take one of the fixed paths below — each is complete end to end, sequenced from first principles to a portfolio project, and open right now. Or, if your direction sits between two of them, we build one around you after your counselling session.
9 TRACKS · ALL FREE
Browse the full libraryAI Ethics, Risk & Compliance
Responsible AI, governance frameworks and the failure modes that only appear once a system is live and used by people you never met.
- Responsible AI foundations
- Bias, fairness and evaluation
- Privacy and data governance
- Security of AI systems
- Governance frameworks and standards
Finish this and you can audit a model for disparate impact, document a system to a standard a regulator recognises, and write an AI usage policy an organisation could actually adopt.
AI Foundations
From the maths underneath to a retrieval-augmented app you understand end to end. Beginner through expert, with the papers when you are ready for them.
- The maths you actually need
- Python for AI
- Classical machine learning
- Deep learning
- Transformers and LLMs
Finish this and you can read a modern ML paper, implement what it describes, and explain why your system fails when it fails.
AI for Product Management
How AI changes discovery, specification, experimentation and measurement — and the parts of product management it does not change at all.
- Product fundamentals
- AI product thinking
- AI-assisted discovery and research
- Writing specs for AI features
- Experimentation
Finish this and you can write an AI feature specification an engineering team can build from, define what 'working' means before anyone writes code, and say honestly whether the feature should exist.
Career Readiness
Portfolio craft, technical communication, interview preparation and how to judge a role honestly — the layer between having the skills and being hired for them.
- A portfolio somebody will actually read
- A resume that survives the scan
- Technical communication
- Technical interviews
- Behavioural interviews
Finish this and you can describe your work with evidence rather than adjectives: a portfolio somebody will read, a resume that survives a six-second scan, and answers to the questions that actually get asked.
Cloud & DevOps
Linux, AWS, containers, infrastructure as code and the observability that tells you whether any of it is working. Built around one service you take all the way to production.
- Linux and networking
- Git and pipelines
- AWS essentials
- Docker and Kubernetes
- Infrastructure as code
Finish this and you can stand up a containerised service on AWS from a Terraform definition, ship it through a pipeline, and answer the only question that matters at 3am: what changed, and how do you know?
Data & Analytics
SQL, pandas, statistics and visualisation — plus the part that actually gets people hired: turning an analysis into a decision somebody acts on.
- SQL foundations
- Python for data
- The statistics you need
- Visualisation
- Warehouses and pipelines
Finish this and you can take a messy dataset, establish what is true in it, quantify how sure you are, and present it to someone who will not read your code.
Full-Stack Web
HTML, TypeScript, React, Node and databases — in the order that lets each one earn the next, ending in a product on a real domain with real users' data in it.
- Web fundamentals
- JavaScript, properly
- TypeScript deep dive
- React and state
- APIs and databases
Finish this and you can take a product from an empty folder to a deployed, authenticated, tested application — and explain every layer of it in an interview without hand-waving.
Leadership with AI
Decision-making, operating models and leverage for people who run teams — with AI treated as a change to how work is organised rather than a tool to buy.
- Decision-making under uncertainty
- Teams and operating models
- Redesigning a workflow around human + AI
- Leading teams that use AI
- Strategy, risk and governance
Finish this and you can redesign one of your team's real workflows around human and machine work, defend the decision with evidence, and put governance around it that your risk function will accept.
Product Design
UX heuristics, research, interface craft and systems thinking — ending in the only thing a design portfolio is actually judged on: a case study that shows how you think.
- Design principles
- Research basics
- Figma craft
- Typography, colour and accessibility
- Design systems
Finish this and you can research a real problem, design a solution against constraints you can name, build it in a system rather than as one-off screens, and defend every decision in a portfolio review.
Or have one built for you
None of these quite you? Take your counselling session, and our team assembles a path for your exact direction — the same resources and projects, ordered for where you actually are.
- Counselling settles the direction
- You tell us the time you have
- We reach out within 72 hours
- Your plan, self-paced, yours to keep
Follow one sequence built for your direction, not the nearest available one.
The other route
A path built for one person.
The library’s paths are fixed because a good sequence should not be improvised. But a fixed path assumes a starting point, and yours may not be one of them. When that happens, we build it.
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01
Take your counselling session
The session settles the direction and writes it down. Everything after this is built from that report rather than from a form.
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02
Tell us the shape of your week
Six hours on weekends is a different plan from two hours every evening. We would rather have the real number than the ambitious one.
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03
We reach out within 72 hours
A person, not an autoresponder — with the draft sequence and the reasoning for the order it is in.
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04
Your path, self-paced
The same curated resources and portfolio projects as the fixed paths, ordered for where you actually are — and adjusted as you go.
Step one either way — it is what the plan is built from.
Request your custom path
Three things are required — your name, an email, and where you are trying to get to. Everything else makes the plan better.
What’s inside
Four kinds of material. One standard: it has to earn its place.
Video lectures
Handpicked from YouTube, MIT OCW, freeCodeCamp.
Written guides
Blog posts, docs and cheatsheets that actually explain.
Project repos
Starter code and build-along repositories.
Reading lists
Papers and books, ordered from primer to depth.
Know your next step
Which one is yours?
The library is where you are. There are two ways up from it: build deep AI engineering skill, or turn the skill you already have into your next role.
- Best for
- AI for Your Career: Anyone building skills in a new direction, on their own time
- AI Fellowship: Engineers who want to go deep on AI engineering
- Career Guidance Program: Data & tech professionals going after their next role
- Cost
- AI for Your Career: Free, permanently
- AI Fellowship: ₹50,000 + GST
- Career Guidance Program: ₹1,35,000 incl. GST, in two stages
- Pace
- AI for Your Career: Self-paced, entirely yours
- AI Fellowship: 2 live sessions/week for 3 months
- Career Guidance Program: Intensive one to one, in two stages
- Depth
- AI for Your Career: Any path, as far as you take it
- AI Fellowship: ~150 hours, AI engineering only
- Career Guidance Program: Positioning, interviews, search and offer
- Feedback
- AI for Your Career: None — you mark your own progress
- AI Fellowship: Weekly 1:1 mentorship, 1:10 ratio
- Career Guidance Program: 5–7 executive mentorship sessions, 1:1
- You build
- AI for Your Career: A project per stage, unreviewed
- AI Fellowship: Live projects + an industry capstone
- Career Guidance Program: An ATS-ready resume, a rebuilt LinkedIn, 3 interview simulations
- Human help
- AI for Your Career: Add the 4 expert & placement sessions
- AI Fellowship: Included throughout
- Career Guidance Program: Senior advisors, plus up to 10 introductions
Free gets you far. It does not get you read.
Nobody reviews your project here, and nobody tells you what your portfolio is missing. When you want that, four one-to-one sessions follow your counselling report — two with an industry expert, two on getting hired.