A clear direction makes the next step easier.

Use your development experience, then build additional skills through tasks and projects.

Goal 1 · Improve everyday development

Use AI in everyday development

Practice context, code understanding, boundary checks, and verification. Start by completing work tasks reliably.

L1 → L2Collaborative development
Explore the task path ↗
Goal 2 · Application development

Build a demonstrable AI application

Connect APIs, retrieval, citations, and evaluation in a real RAG project.

L2 → L3RAG practice
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Goal 3 · Create independently

Keep a workflow running

Combine permissions, state, failures, and operating records to build a reliable system and complete workflow.

L3 → L5Workflow
Explore the system path ↗

Application development · Complete learning map

Browse courses
  1. AI foundations and directionL1
  2. Prompting and contextL2
  3. Verification and reliabilityL2
  4. AI-assisted developmentL3
  5. LLM application foundationsL3
  6. RAG project practiceL3
  7. Agents and workflowsL4
  8. System delivery and operationsL4
  9. Career and project communicationL3
Start directly with courses, projects, interviews, or assessments. Experienced learners need not repeat every introductory unit.