Retrieval Augmented GenerationIntermediateBankingHealthcareInsurance

Retrieval-Augmented Generation for the Enterprise

Vector databases, hybrid search, reranking, and production RAG

A comprehensive 15-module certification course on designing, building, and operating RAG systems at enterprise scale. Covers embeddings, chunking, vector databases, hybrid search, reranking, contextual retrieval, multi-tenant access control, regulated-industry patterns, and cost optimization. Includes a full capstone project.

24h total15 modulesFreshness 97Refreshed 7d ago

What you'll master

Learning objectives

01Architect production-grade RAG systems for regulated and non-regulated enterprises
02Master hybrid search, reranking, and contextual retrieval
03Implement multi-tenant access control and audit trails
04Design for right-to-forget and data residency
05Optimize cost via cascading and semantic caching

Skills gained

Vector DatabasesHybrid SearchRerankingContextual RetrievalRAG EvaluationMulti-Tenant RAGFinOps for AI

Curriculum

15-module program

01FreeWhy RAG?3 lessons

The case for retrieval-augmented generation.

1.RAG vs. Fine-Tuning vs. Pure Prompting12m
2.The Business Case for RAG10m
3.RAG Failure Modes8m

02FreeText Embeddings3 lessons

How text becomes a vector.

1.Embedding Models 10112m
2.Embedding Cost & Quality Trade-offs10m
3.Domain Adaptation10m

03FreeChunking Strategy3 lessons

Where the retrieval game is won or lost.

1.Chunk Size Trade-offs12m
2.Semantic Chunking12m
3.Structured Document Chunking10m

04FreeVector Databases3 lessons

Storing and searching at scale.

1.The Vector DB Landscape12m
2.Indexing Strategies12m
3.Metadata Filtering8m

05FreeFirst Working RAG (Hands-On)3 lessons

Ship your first pipeline.

1.Environment Setup10m
2.Ingest → Chunk → Embed → Store15m
3.Query → Retrieve → Generate12m

06PremiumHybrid Search (Vector + BM25)3 lessons

Beyond pure semantic search.

1.Why Pure Vector Search Fails10m
2.BM25 Fundamentals12m
3.Reciprocal Rank Fusion (RRF)12m

07PremiumReranking & Contextual Retrieval3 lessons

Squeezing every drop of quality.

1.Rerankers 10112m
2.Anthropic's Contextual Retrieval15m
3.Combining Both8m

08PremiumAdvanced Retrieval Patterns3 lessons

Multi-hop, HyDE, and query decomposition.

1.HyDE — Hypothetical Document Embeddings12m
2.Multi-Hop RAG12m
3.Query Rewriting10m

09PremiumLong-Context vs. RAG3 lessons

When to use each — or both.

1.Long-Context Models Change Nothing (Almost)12m
2.Hybrid Long+RAG Architectures10m
3.Cost Model Comparison8m

10PremiumEvaluating RAG Systems3 lessons

Measure what matters.

1.RAG Metrics That Matter12m
2.RAGAS, TruLens & LLM-as-Judge12m
3.Production Monitoring8m

11CertificationEnterprise Data Ingestion3 lessons

Getting data into your RAG system.

1.The Ingestion Zoo12m
2.OCR & Layout-Aware Parsing15m
3.Incremental Sync10m

12CertificationMulti-Tenant & Access Control3 lessons

RAG in enterprise means row-level security.

1.Tenant Isolation Patterns12m
2.Document-Level ACLs15m
3.Right-to-Forget10m

13CertificationRAG for Regulated Industries3 lessons

Banking, healthcare, government.

1.Audit Trails12m
2.Explainability Requirements12m
3.Data Residency & Sovereign RAG10m

14CertificationCost Optimization at Scale3 lessons

FinOps for RAG.

1.Model Cascading12m
2.Semantic Caching12m
3.Embedding Cost Governance10m

15CertificationCapstone: Design a Production RAG3 lessons

Build and defend a full system.

1.Capstone Brief15m
2.Architecture Deliverable25m
3.Evaluation & FinOps Plan25m