WATCH & LEARN

A few minutes.
A clearer mental model.

Watch an algorithm run, follow a retrieval pipeline, or see why a model fails. Each video sits beside its full concept, so you can pause and work through the details at your own pace.

12 free video lessons · 38 minutes in total · English narration

Foundations of LLMs & GenAI

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3:05

Retrieval & Agents

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3:21

Retrieval-Augmented Generation (RAG)

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3:18

AI Agents and Tool Use

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Evaluation & ML Foundations

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2:34

Gradient Descent & Learning Rate

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3:30

Bias-Variance Tradeoff

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3:16

Overfitting and Regularization

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System Design for AI in Production

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2:33

Retries, Exponential Backoff and Jitter

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Coding & Engineering Craft

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2:50

Heaps and Top-K

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Put the idea to work.

Every concept links to interview questions. Try explaining the answer yourself after you watch.

Practice questions →

Foundations of LLMs & GenAI

The Context Window

Embeddings & Vector Representations

Temperature, Top-p and Sampling

Why LLMs Hallucinate

Fine-tuning vs RAG vs Prompting

Retrieval & Agents

Retrieval-Augmented Generation (RAG)

AI Agents and Tool Use

Evaluation & ML Foundations

Gradient Descent & Learning Rate

Bias-Variance Tradeoff

Overfitting and Regularization

System Design for AI in Production

Retries, Exponential Backoff and Jitter

Coding & Engineering Craft

Heaps and Top-K

Put the idea to work.