HOME / AI TRAINING / RAG & KNOWLEDGE SYSTEMS
RAG & Knowledge Systems
Build accurate, grounded retrieval systems over your own documents and data.
Duration
2 weeks
Format
Live online
Commitment
8–10 hrs/week
Level
Intermediate
Next cohort
Starts soon
What you'll learn
Outcomes
Master RAG architecture
Understand chunking, embeddings and retrieval end to end.
Improve retrieval quality
Apply ranking and re-ranking to surface the right context every time.
Handle real sources
Work with structured and unstructured data without losing accuracy.
Ship a production system
Add security, freshness and evaluation to a real RAG assistant.
Curriculum
Week-by-week syllabus
- Day 1 — RAG architecture fundamentals
- Day 2 — Chunking, embeddings & vector stores
- Day 3 — Retrieval quality: ranking & re-ranking
- Day 4 — Handling structured & unstructured sources
- Day 5 — Lab: build a retrieval pipeline over real documents
- Day 6 — Query understanding & multi-step retrieval
- Day 7 — Evaluating retrieval & answer quality
- Day 8 — Freshness, updates & incremental indexing
- Day 9 — Security, access control & data isolation
- Day 10 — Capstone: ship a production RAG assistant
Prerequisites
- Working knowledge of a modern programming language
- Basic familiarity with APIs
- No prior RAG experience required
Choose your domain
Projects and datasets adapt to where you work:
FinanceHealthcareRetailGovernmentManufacturingGeneral
ML
Lead instructor
A practitioner who ships agents in production
Your cohort is led by a senior AI solution architect with real-world experience building multi-tenant AI platforms and autonomous systems — every project is reviewed personally.
Ready to build production AI skills?
Join the next 2-week cohort, or bring this program in-house for your team.