AI · Skills roadmap

Forward Deployed Engineer roadmap

Build AI systems inside customers' businesses and make them work in the real world.

  • 40 to 64 weeks to job-ready, part time
  • 49 lessons across 20 skills
  • 12 portfolio projects

61 lessons and projects. Progress saves in this browser.

Start with the overview, then learn each skill in order and build the projects. Finished stops get a tick and the path fills in as you go.

  1. OverviewWhat a Forward Deployed Engineer doesThe job, the work and what employers want
  2. Python9 lessons
  3. REST APIs and HTTP2 lessons
  4. Interpersonal skillsCommunication, Customer-facing delivery, Stakeholder management · 7 lessons
  5. LLMs and NLP2 lessons
  6. TypeScript and JavaScript3 lessons
  7. Git and GitHub2 lessons
  8. SQL7 lessons
  9. Prompt engineering1 lesson
  10. AI agents and tool use2 lessons
  11. Retrieval-augmented generation (RAG)2 lessons
  12. LLM evaluation2 lessons
  13. Model Context Protocol (MCP)2 lessons
  14. Cloud platforms (AWS, Azure, Google Cloud)2 lessons
  15. OptionalDocker and containers1 lesson
  16. OptionalMachine learning1 lesson
  17. Domain knowledgeSecurity compliance and data protection · 2 lessons
  18. Monitoring and observability1 lesson
  19. CI/CD1 lesson
  20. Projects12 portfolio projects on real data
  21. FinishJob-readyYour before-you-apply list

The finish line

Ready to apply when you can say yes to these

Before you apply, make sure you can tick every box.

0 of 7 readyPractise the mock interview: 41 questions