Learning path
AI Developer Learning Path
A route for developers who want to build reliable AI features and automations. People with basic programming experience.
Core capabilities
- Integrate language models
- Ground AI in real data
- Design agents with bounded tools
- Evaluate AI quality
- Apply privacy and cost controls
Recommended learning sequence
- 01Backend DevelopmentDesigning and building server-side applications, APIs and databases that are correct, secure and maintainable.
- 02AI EngineeringBuilding software features with language models: prompting, retrieval, tool use, evaluation and cost control.
- 03AI Agents & AutomationDesigning bounded automations and AI agents with permissions, approvals and logging.
- 04Software TestingDesigning tests that catch real problems, from unit tests to end-to-end checks.
- 05CybersecurityPractical security for people who build and operate software and business systems.
Practical projects
- A document question-answering feature with evaluation
- An automated workflow with human approval
Assessment approach
Each project ends with a review: you explain your work and answer questions about it.
Possible entry-level roles
- Junior AI engineer
- Automation developer
Questions
Does this path guarantee a job?
No. It builds the capabilities and evidence these roles require. Employers make their own hiring decisions.
Can I start in the middle?
Yes, if you already have the earlier capabilities. You may be asked to demonstrate them.