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Pick the job you want.

Each path is an ordered set of lessons and labs, and the career paths end with a capstone project you can show employers. Switch any time; your progress carries over.

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Forward Deployed EngineerFlagship path

Take AI from a demo to a customer's production.

  • Run discovery with a customer's team and find the real problem
  • Fit into their SSO, network, data permissions and security review
  • Run a two-week pilot against success criteria agreed up front
  • Build on Claude, OpenAI or Gemini behind one abstraction layer
  • Explain results and trade-offs to executives and get the rollout signed
  • Walk into an FDE interview loop with a practised build, case and story bank

84 lessons in 10 milestones. Starts free; the full path needs the Mastery plan.

View the Forward Deployed Engineer path
Applied AI Engineer

Build AI systems that hold up in production.

  • Ship LLM features on Claude, OpenAI or Gemini with tools, structured output and retries
  • Build retrieval that answers from sources and refuses when it doesn't know
  • Write evals first: golden sets, LLM judges and CI gates that catch regressions
  • Design agents and harnesses with memory, recovery and safe tool permissions
  • Own production: observability, guardrails, cost, latency, inference and fine-tuning
  • Defend a system design and clear an Applied AI interview loop

83 lessons in 12 milestones. Starts free; the full path needs the Mastery plan.

View the Applied AI Engineer path
Staff and Architect

Design and run AI systems at company scale.

  • Design AI systems and defend the trade-offs in review
  • Set evaluation strategy for a whole product area
  • Own cost, capacity and reliability
  • Lead incident response and postmortems

66 lessons in 4 milestones. Starts in the Systems plan; the full path needs the Mastery plan.

View the Staff and Architect path
FoundationsFree

Get ready for AI engineering, from zero.

  • Write real programs in Python
  • Understand how LLMs work and where they fail
  • Read the math behind models without fear
  • Use Git and the command line like a working engineer

40 lessons in 4 milestones. Free with an account.

View the Foundations path