Loading
Roles we prepare you for
Career pathways
Pick a role to see what the work involves, the capabilities it needs, and how deeply each program builds them.
Career capability explorer
AI Engineer
Builds products and internal tools on top of language and multimodal models.
Typical responsibilities
- Design prompts, retrieval and tool integrations
- Evaluate model quality and catch regressions
- Ship and operate LLM features within cost and latency budgets
Capabilities and where to build them
| Capability | Generative AI Engineering | LLMs & RAG Systems | Agentic AI & Autonomous Systems |
|---|---|---|---|
| Prompt design | |||
| Retrieval-augmented generation | |||
| LLM evaluation | |||
| Tool use | |||
| LLMOps |
Bars show how deeply each program teaches a capability, from its published curriculum.
Role descriptions summarise common responsibilities. Hiring requirements vary by employer and country, and completing a program doesn't guarantee a job.
Common routes
Programs stack. These are sequences learners follow to move between roles.
Data to AI engineering
Agents track