Similarity Challenge.
Put your embedding knowledge to the test. Predict similarities and prove your mastery.
This assessment covers
- Predicting cosine similarity between word pairs
- Understanding how embeddings power real applications
- Vector analogies and relationship encoding
- Everything from the AI Foundations course
Part 1
Embedding mastery.
Part 2
Full course review.
Match Concept to Its Course Section
Tap a concept on the left, then where you learned it on the right
Final Challenge
The AI Foundations gauntlet.
Course Complete
You now understand how AI actually works.
Most people use AI without understanding any of this. You now know:
- Neurons — weighted sum + bias + activation function
- Networks — layers of neurons that find increasingly complex patterns
- Tokens — how AI reads text (not words, not characters)
- Prompt techniques — zero-shot, few-shot, chain-of-thought, role-play
- Temperature — the creativity dial
- Embeddings — words as vectors, meaning as geometry
- Cosine similarity — how AI measures relatedness
- RAG — retrieval-augmented generation
This foundation makes everything else in AI make sense. You're ready for the next course.
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