Chartered Vectorial × NUS

Build the judgement to put AI into practice.

A growing course for practitioners who need to design, evaluate and operate dependable AI systems—not simply describe them.

Course map

A curriculum designed to grow.

Every module has one home, a clear sequence and session-level learning material. Module 2 is the first published collection.

01

Foundations

The opening module will be added as its approved sessions are ready.

Coming later
02

Applied AI Systems

Design reliable retrieval systems and make defensible model-selection and cost decisions.

Available
M02.190 minutes

39 interactive slides

Production-Grade RAG

Understand RAG as an owned production pipeline, diagnose evidence failures and move beyond naive retrieval patterns.

  • RAG anatomy
  • Chunking
  • Embeddings
  • Retrieval quality
Start session
M02.375 minutes

39 interactive slides

Model Selection & Cost-Optimisation

Select model tiers and deployment patterns from workload evidence, hard gates and explicit operating trade-offs.

  • Decision axes
  • Deployment
  • Cost levers
  • Quality gates
Start session

Learning experience

01

Decision-first

Frameworks are anchored in choices practitioners must make at work.

02

Evidence-grounded

Claims, constraints and trade-offs remain traceable to research.

03

Built for delivery

Session content, activities and trainer guidance stay together.