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.
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Recommended starting paths
Choose the closest match. You can change direction after completing the first practical result.
Programming with AI agents
Learn Codex and Claude Code, then connect projects to local models.
First session: 30–60 min- Early technical or programming experience
- Aulafy foundations
- Developers, makers, and product teams
- Ship tested software changes through a controlled agent workflow.
Show the next courses (3)
Applied AI for work and content
Automate real work and create media without losing privacy, licensing, or human review.
First session: 30–60 min- Non-technical or technical
- Aulafy foundations
- Small businesses, educators, freelancers, and creators
- Build a useful workflow with evidence, permissions, and human approval.
AI systems engineering
Build RAG, agents, and model services with security, observability, and evaluation.
First session: 30–60 min- Intermediate technical
- Aulafy foundations
- Backend developers, ML engineers, and DevOps practitioners
- Operate a measurable, secure AI application that recovers from failures.
Specialisations
SpecialisationsExplore 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.
Open models and post-training
Move from running local models to serving, evaluating, and adapting them with your data.
First session: 30–60 min- Advanced technical
- Aulafy foundations
- Technical learners with Python and GPU access
- Publish an evaluated adapted model behind a controlled API.
Capstone: private AI platform
Integrate secure RAG, agents, local MLOps, and an AI Router into an auditable final project.
First session: 30–60 min- Advanced technical
- Aulafy foundations
- Teams moving from individual courses to a complete system
- Build a private platform with RAG, tool-using agent, gateway, evals, traces, rollback, and human review.
Durations are estimates. Move forward when you can explain the result, show evidence, and repeat the practice without copying every step.