AI INTUITION & LLM SYSTEMS·17 modules·85 lessons·OPEN ACCESS

Understand AI. Serve it at scale.

Build an intuitive map of AI, then go deep on running LLMs: GPU memory, batching, caches, distributed inference, reliability, and cost. Short study maps lead you into the right videos, articles, and hands-on experiments.

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CURRICULUM SEQUENCE

Two paths, 17 connected modules

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Recognize the major ways machines search, learn, generate, and act. Start with pictures; proofs can wait.

AI, ML, deep learning, and generative AIFREE Search, logic, and planningFREE Learning from labels, patterns, and feedbackFREE Probability, uncertainty, and causalityFREE Optimization beyond gradientsFREE

Understand AI. Serve it at scale.

Two paths, 17 connected modules

01 · The AI landscape

02 · Just enough mathematical intuition

03 · How learning succeeds and fails

04 · Inside a neural network

05 · Beyond text

06 · How LLMs work

07 · Acting, retrieving, and knowing the limits

08 · One request, end to end

09 · Why the GPU waits

10 · Keep useful work on the GPU

11 · Spend fewer bytes and steps

12 · Beyond one GPU

13 · Operate a serving fleet

14 · Serve whole AI applications

15 · Training systems you need to recognize

16 · Measure, protect, and pay for the service

17 · Build evidence of engineering judgment