Retrieval-Augmented Generation (RAG) Tutorial

60 Lessons

40 hours

Retrieval-Augmented Generation (RAG) Tutorial comprehensive tutorial curriculum with practical examples, code snippets, and structured modules.

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About Course

Retrieval-Augmented Generation (RAG) Tutorial comprehensive tutorial curriculum with practical examples, code snippets, and structured modules.

Course Curriculum

Course Content

Cluster 1: RAG Fundamentals Getting Started

What Is Retrieval-Augmented Generation (RAG)?
Introduction to RAG Systems
How RAG Works End to End
RAG vs Fine-Tuning vs Long Context
RAG Architecture Components
Documents, Chunks, Embeddings and Retrieval
RAG Use Cases, Benefits and Limitations
Set Up a RAG Development Environment

Cluster 2: RAG Data Ingestion Retrieval Foundations

Document Ingestion Pipelines for RAG
Parsing PDFs, HTML, Office Files and Tables for RAG
Text Cleaning, Metadata and Document Normalization
Chunking Strategies for RAG
Overlap, Semantic Chunking and Hierarchical Chunks
Embeddings for Retrieval-Augmented Generation
Vector Similarity, Distance Metrics and Normalization
Vector Databases and Index Structures
Keyword Search, BM25 and Sparse Retrieval
Hybrid Search: Dense and Sparse Retrieval

Cluster 3: RAG Indexing Metadata Query Processing

Cluster 4: RAG Retrieval Ranking Context Engineering

Cluster 5: RAG Grounded Generation Application Patterns

Cluster 6: RAG Deployment Performance Operations

Cluster 7: RAG Security Governance Enterprise

Cluster 8: Advanced RAG Architecture Career

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Duration: 40 hrs
60 Lessons & Practical Labs
Lifetime Full Access & Free Upgrades
Downloadable Study Materials & Code Labs
Recognized Certification of Completion
24x7 Online Support & Learner Forum

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Retrieval-Augmented Generation (RAG) Tutorial

About Course

Course Curriculum

Course Content

Cluster 1: RAG Fundamentals Getting Started

What Is Retrieval-Augmented Generation (RAG)?

Introduction to RAG Systems

How RAG Works End to End

RAG vs Fine-Tuning vs Long Context

RAG Architecture Components

Documents, Chunks, Embeddings and Retrieval

RAG Use Cases, Benefits and Limitations

Set Up a RAG Development Environment

Cluster 2: RAG Data Ingestion Retrieval Foundations

Document Ingestion Pipelines for RAG

Parsing PDFs, HTML, Office Files and Tables for RAG

Text Cleaning, Metadata and Document Normalization

Chunking Strategies for RAG

Overlap, Semantic Chunking and Hierarchical Chunks

Embeddings for Retrieval-Augmented Generation

Vector Similarity, Distance Metrics and Normalization

Vector Databases and Index Structures

Keyword Search, BM25 and Sparse Retrieval

Hybrid Search: Dense and Sparse Retrieval

Cluster 3: RAG Indexing Metadata Query Processing

RAG Index Design and Metadata Filtering

Query Understanding, Rewriting and Expansion for RAG

Multi-Query Retrieval and Query Decomposition

Permission-Aware Retrieval and Access Control

Incremental Indexing, Freshness and Deletions in RAG

Retrieval Filters, Thresholds and Candidate Selection

Metadata Enrichment and Knowledge Graph RAG

RAG Ingestion Troubleshooting and Data Quality

Cluster 4: RAG Retrieval Ranking Context Engineering

Reranking Models for RAG

Cross-Encoder vs Bi-Encoder Retrieval

Context Selection, Compression and Ordering in RAG

Context Windows, Packing and Lost-in-the-Middle Effects

Citation Grounding and Source Attribution in RAG

GraphRAG and Knowledge Graph Retrieval

Agentic RAG and Iterative Retrieval

Retrieval Evaluation: Recall, Precision, MRR and nDCG

Cluster 5: RAG Grounded Generation Application Patterns

Grounded Generation and RAG Prompt Templates

Answer Synthesis from Multiple Sources

Abstention, Confidence and Unanswerable RAG Queries

Multi-Hop RAG and Complex Question Answering

Conversational RAG and Follow-Up Questions

Multimodal RAG for Images, Tables and Audio

Structured Outputs and RAG APIs

RAG with LangChain, LlamaIndex and Frameworks

Cluster 6: RAG Deployment Performance Operations

Building a RAG API Service

RAG with Python and FastAPI

Streaming RAG Responses and Citations

Caching and Performance Optimization for RAG

Scaling Vector Search and RAG Ingestion

RAG Monitoring, Tracing and Observability

RAG Evaluation Pipelines and Regression Testing

Production RAG Deployment and Reliability

Cluster 7: RAG Security Governance Enterprise

RAG Security and Prompt Injection Defense

RAG Data Privacy, Tenant Isolation and Access Control

Poisoned Documents and Retrieval Supply Chain Risks

RAG Hallucinations, Grounding Failures and Mitigation

RAG Governance, Compliance and Audit Trails

Enterprise RAG Architecture and Operational Playbooks

Cluster 8: Advanced RAG Architecture Career

RAG vs Agentic Search: Choosing an Architecture

Advanced RAG Optimization and Research Trends

RAG Projects, Portfolio and Interview Preparation

RAG Career Path, Skills and Learning Roadmap

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Retrieval-Augmented Generation (RAG) Tutorial Certification Exam

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