Master LLM Inference (Phase 1: Foundations & Optimization)

Master LLM Inference (Phase 1: Foundations & Optimization)

A 4-week intensive workshop taught live by Dr. Raj Dandekar (MIT PhD) with 9 industry experts from Anthropic, NVIDIA, Apple & more.

The tools that power
production inference.
You won’t just learn theory — you’ll build with the same frameworks used at Anthropic, NVIDIA, and Apple.

Build something
you can actually ship.
Each phase culminates in a hands-on capstone project that ties together everything you’ve learned.

Don’t just learn it.
Run it on real hardware.
Dedicated lab days included in every phase. Every device has a different bottleneck — and you’ll benchmark each one live.

Who is this for?
Built for engineers
who want to go deep.
Engineers transitioning into ML infrastructure or AI engineering

Students targeting roles at Anthropic, NVIDIA, Microsoft, Apple, Amazon

Engineers who want to go beyond using LLMs — to building inference systems

Researchers who need production engineering depth alongside theory

What you will achieve
Leave
interview-ready.
Top-company interview question

“Design a low-latency, high-throughput LLM inference system handling millions of requests. Walk me through the engineering trade-offs.”

Asked at Anthropic, NVIDIA, Microsoft, Meta, Google DeepMind. You will have a complete answer.

Answer end-to-end inference system design questions in any ML interview

Explain low-latency, high-throughput, cost-optimised LLM serving at scale

Deploy real LLMs on your own laptop, Raspberry Pi 4, Android & Jetson Orin Nano

Build industry-level portfolio projects from hands-on hardware lab days

Get career insights directly from engineers at Anthropic, NVIDIA & Microsoft

Learn from engineers
at the frontier.
9 industry experts from Anthropic, NVIDIA, Microsoft, Apple, AnyScale, Red Hat, Amazon and more. Sessions at Anthropic, NVIDIA, Microsoft and Apple include a dedicated career insights segment.

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