Fasttrack· 10 questions

Fasttrack Recap Quiz

What you'll learn

▸Confirm you understand every core AI/LLM concept
▸Identify any gaps to revisit specific lessons

10 questions — one per Fasttrack lesson. Aim for 8+ to confirm you understand every core concept.

Foundation (Lessons 01-04)

Code Check

What does init_chat_model("openai:gpt-4o-mini") return?

Knowledge Check

What is the minimum code change to switch from OpenAI to Anthropic in LangChain?

Code Check

What does model.with_structured_output(WeatherReport) return when invoked?

Knowledge Check

Why does an LLM forget your name between two separate invoke() calls?

Capabilities (Lessons 05-06)

Code Check

What is a ToolMessage and when is it sent?

Knowledge Check

In a RAG pipeline, what does "retrieval" actually do?

Agents (Lessons 07-09)

Knowledge Check

What is the key difference between a single LLM call and an agent?

Code Check

What does thread_id do when used with InMemorySaver?

Knowledge Check

When should you use the Parallel agent pattern instead of Sequential?

Quality (Lesson 10)

Knowledge Check

What is LLM-as-Judge and why is it useful?

Scored 8+ out of 10?

Congratulations — you understand every core concept in the AI/LLM stack! You can now dive deeper into any specific session for hands-on practice, or start building your own projects.