Large language model foundations
Importance: Essential (5 of 5)
Understands transformer behavior, context, limitations, and model selection.
Data and AI
AI Engineer
Builds and operates AI-enabled applications using foundation models, retrieval, agents, evaluation, and safety controls.
- Skills
- 8
- Published coverage
- 8
- Awaiting publication
- 0
Skills
Foundation-model applications
Prompt engineering
Importance: Very important (4 of 5)
Designs structured model instructions and interaction patterns.
Course coverage
Retrieval-augmented generation
Importance: Essential (5 of 5)
Grounds model responses in retrieved authoritative information.
Course coverage
AI agents
Importance: Very important (4 of 5)
Builds controlled tool-using and multi-step AI systems.
Course coverage
AI production
AI evaluation
Importance: Essential (5 of 5)
Evaluates task quality, safety, regressions, and model trade-offs.
Course coverage
Model adaptation
Importance: Important (3 of 5)
Selects prompting, retrieval, and fine-tuning appropriately.
Course coverage
AI security
Importance: Essential (5 of 5)
Mitigates prompt injection, data leakage, unsafe actions, and supply risks.
Course coverage
Generative AI operations
Importance: Essential (5 of 5)
Operates AI applications with observability, cost, release, and incident controls.
Course coverage