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AI Engineering · 100-level

Open-Source & Sovereignty (India-first)

Sit Chuun — free All modules
AIE-1101 creditselectivebadge: open-weightsprereqs: AIE-101
Start this course — free

Earn the open-weights credential

What's inside

Sections & lessons

01

Open-weight families & VRAM math

  • The literal GB arithmetic behind 'this model doesn't fit'concept45 min
02

Lab + eval-gate: sovereignty & lock-in

  • Naming the exact mechanism holding a stack hostage (Open-Weights badge)concept120 min
Start this course — free
Learn it from the inside

This module's playgrounds

  • Open-Weights Garage

    Coming soon

    Watch VRAM fill up as you pick a model size.

    AiAIE-110BYOK AIMedium
    Play it now

  • Fine-Tuning Forge

    Live

    Slide through cached training runs to find the tune-vs-prompt break-even.

    AiAIE-110Browser (JS)Quick
    Play it now

  • Can You Actually Run This?

    Live

    Pick a model and your GPU. We do the honest math.

    AiAIE-110BYOK AIQuick
    Play it now

  • The Lock-In Detector

    Live

    See exactly what's holding your stack hostage, and the exit.

    AiAIE-110BYOK AIQuick
    Play it now
AI Engineering

Next in this path

Where this specialization goes from here — in (level, code) order.

  • AIE-120

    AI Consequences & War-Room

    1 creditscorebadge: responsible-builder
    Start
  • AIE-130

    Model Landscape & Jargon

    1 creditselectivebadge: model-literate
    Start
  • AIE-201

    AI-Assisted Coding

    3 creditscorebadge: builder
    Start
  • AIE-202

    RAG Foundations

    3 creditscorebadge: rag-i
    Start
  • AIE-203

    RAG Quality & Retrieval Evals

    2 creditselectivebadge: rag-ii
    Start
  • AIE-204

    Structured Outputs & Function Calling

    2 creditselectivebadge: structurer
    Start
  • AIE-205

    Automation & Workflows

    2 creditselectivebadge: automator
    Start
  • AIE-301

    Agent Foundations

    3 creditscorebadge: agent-i
    Start
Vocabulary

Key concepts in this course

Quantization Cost Per Token

Compare related approaches

Closed vs Open-Weight Models INT8 vs INT4 Quantization
Optional · watch & try

Go deeper, elsewhere

Hand-picked public explainers and open tools — always optional, never required, never graded.

What is LoRA? Low-Rank Adaptation for finetuning LLMs EXPLAINEDExplains the low-rank matrix trick that makes LoRA cheap LoRA for fine-tuning LLMs explained with exampleWorked example applying LoRA to an actual model LLM Fine Tuning Explained in 8 Minutes: LoRA, QLoRA, DPOFast comparison of fine-tuning method families · ~8 minHugging Face PEFT — LoRA methodsOfficial reference implementation and guide for LoRA/PEFT fine-tuning LLM Model VRAM Calculator (Hugging Face Space)Estimate GPU memory needed to fine-tune or run a given model at a given quantization

This module ends in a gate you can fail.

That's what makes passing it mean something. Sit Chuun, get placed, and start earning.

Sit Chuun — free All modules