AI Engineering

From maths foundations to shipping evaluated, cost-aware LLM products.

1. Step 01

   Maths

   Linear algebra, probability and optimisation intuition.

   Linear Algebra

2. Step 02

   Classical ML

   Regression, trees, evaluation and leakage.

   scikit-learn

3. Step 03

   Deep learning

   Backprop, transformers and training dynamics.

   PyTorch

4. Step 04

   LLM systems

   RAG, tool use, structured output and guardrails.

   RAGAgents

5. Step 05

   Evaluation

   Offline evals, human review and regression suites.

   Evals

6. Step 06

   Serving

   Latency, batching, quantisation and cost per token.

   Inference