Systems-First. Hardware-Aware.
Production-Oriented.

Technical programmes for engineering teams who need to understand AI systems at the layer that actually matters, from hardware to production.

↓ Details for principle 01

ApplicationModelRuntimeCUDA / PTXHardwareSYSTEMS FIRST — BOTTOM UP

Practical, systems-first, production-oriented

Built around real production constraints
No toy examples — every exercise maps to a live system
Outcome: engineers who can ship, not just prototype
How We Teach

Our Training Modules.

Programs

Five Training Programs.

Five technical programs. Each one grounded in production reality — not academic abstraction.

01

System Architecture for AI

How production AI systems are actually built — from hardware selection to serving topology.

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01System Architecture for AI

GPU MEMORY HIERARCHYRegisters10TB/sL1 Cache2TB/sL2 Cache400GB/sGlobal Memory900GB/sSpeed ↑ | Capacity ↓
02

Design & Development of LLMs

Architecture decisions that determine whether a model survives in production.

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02Design & Development of LLMs

03

System Optimization for LLMs

Kernel-level profiling, memory hierarchy, quantisation — where real performance gains live.

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03System Optimization for LLMs

04

Foundations of Deep Learning

The mathematical and systems foundations required to reason about modern deep learning.

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04Foundations of Deep Learning

05

Introduction to ML, DL and NLP

A rigorous introduction to machine learning for technical professionals.

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05Introduction to ML, DL and NLP

Delivery

Seminar. Deep Dive.
Private Workshop.

Three formats. Each one designed for a different level of depth and a different audience.

Seminar

Leadership & strategy

A focused session for CTOs, VPs, and technical leads. Strategic framing of AI infrastructure decisions with Q&A.

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Deep Dive

Engineering teams

Hands-on technical program. Engineers leave with working implementations and a methodology they can apply immediately.

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Private Workshop

Entire org

Fully customised to your stack, your team, and your production environment. Delivered on-site or remote.

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Get Started

Organise a Seminar.

Every training engagement starts with a conversation about your team, your stack, and what you need to understand. We scope from there.