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Lessons12
AI and LLM fundamentals
A claim-preparation assistant inside an authoritative claim workflow. It gathers and drafts information without independently adjudicating claims.
Practice saying the answer clearly, then explain the insurance example and the trade-off. A strong answer identifies the authoritative data, safe failure, and measurement—not only the framework name.
Beginner — What makes a good prompt?
Beginner — What is RAG?
Beginner — Explain an embedding.
Beginner — Why use a vector index?
Beginner — What does LangChain provide?
Beginner — What are nodes, edges, and state?
Beginner — Agent versus chatbot?
Beginner — What problem does MCP solve?
Beginner — What is MAF?
Interview questions12
Practice saying the answer clearly, then explain the insurance example and the trade-off. A strong answer identifies the authoritative data, safe failure, and measurement—not only the framework name.
Beginner — What makes a good prompt?
Beginner — What is RAG?
Beginner — Explain an embedding.
Beginner — Why use a vector index?
Beginner — What does LangChain provide?
Beginner — What are nodes, edges, and state?
Beginner — Agent versus chatbot?
Beginner — What problem does MCP solve?
Beginner — What is MAF?
Beginner — Deterministic versus agentic workflow?
Beginner — Context versus memory?
Modules3
AI Engineering learning module
AI Engineering learning module
AI Engineering learning module