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AI learning paths

You do not need to complete all of Aulafy. Choose the situation closest to yours and reveal the rest of the path only when you need it.

Get one clear first step

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0/4 answers
1. Where are you starting from?

Recommended starting paths

Choose the closest match. You can change direction after completing the first practical result.

Path 01 · 4–6 weeks

Programming with AI agents

Learn Codex and Claude Code, then connect projects to local models.

First session: 30–60 min
Entry level
Early technical or programming experience
First step
Aulafy foundations
For
Developers, makers, and product teams
Outcome
Ship tested software changes through a controlled agent workflow.
Start this path
Path 04 · 3–5 weeks

Applied AI for work and content

Automate real work and create media without losing privacy, licensing, or human review.

First session: 30–60 min
Entry level
Non-technical or technical
First step
Aulafy foundations
For
Small businesses, educators, freelancers, and creators
Outcome
Build a useful workflow with evidence, permissions, and human approval.
Start this path
Path 02 · 8–12 weeks

AI systems engineering

Build RAG, agents, and model services with security, observability, and evaluation.

First session: 30–60 min
Entry level
Intermediate technical
First step
Aulafy foundations
For
Backend developers, ML engineers, and DevOps practitioners
Outcome
Operate a measurable, secure AI application that recovers from failures.
Start this path

Specialisations

Explore specialisations when you have a foundation (2)You do not need to choose one today. Return when you know what you want to build or deepen.
Path 03 · 5–8 weeks

Open models and post-training

Move from running local models to serving, evaluating, and adapting them with your data.

First session: 30–60 min
Entry level
Advanced technical
First step
Aulafy foundations
For
Technical learners with Python and GPU access
Outcome
Publish an evaluated adapted model behind a controlled API.
Start this path
Path 05 · 10–14 weeks

Capstone: private AI platform

Integrate secure RAG, agents, local MLOps, and an AI Router into an auditable final project.

First session: 30–60 min
Entry level
Advanced technical
First step
Aulafy foundations
For
Teams moving from individual courses to a complete system
Outcome
Build a private platform with RAG, tool-using agent, gateway, evals, traces, rollback, and human review.
Start this path

Durations are estimates. Move forward when you can explain the result, show evidence, and repeat the practice without copying every step.