Mastering RAG

Build production-ready Retrieval-Augmented Generation systems. Learn LLM fundamentals, RAG architectures, chunking, embeddings, retrieval, prompting, evaluation, & enterprise-scale design to deliver accurate, observable, & trustworthy AI applications

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Course curriculum

1. Retrieval-Augmented Generation (RAG) Course Overview
1. RAG Enterprise Architecture Deep Dive
2. RAG Fundamentals
3. How RAG Fixes AI Hallucinations
4. Infographic: From LLM Foundations to RAG Frameworks
5. AI Study Companion
6. Quiz: RAG Fundamentals
1. RAG System Architecture Blueprints
2. Enterprise RAG Blueprint
3. RAG Is An Enterprise Supply Chain
4. Infographic: Blueprint of Intelligence
5. Quiz: Architectural Foundations and Workflows of RAG
1. Chunking and Embeddings
2. RAG Chunking & Embedding
3. Context Engineering with Chunking and Embeddings
4. Infographic: Data Architecture
5. Quiz: Data Chunking and Embedding Strategies
1. Enterprise RAG Retrieval Mastery
2. Architecting Enterprise RAG
3. Context Engineering and Advanced RAG Retrieval
4. Infographic: The Storage & Retrieval Blueprint
5. Quiz: Advanced Storage and Retrieval Techniques
1. Generation Architecture Blueprint
2. Generator's Blueprint
3. Context Engineering For RAG Generators
4. Infographic: Engineering the Generator
5. Quiz: Prompt Engineering and Generation Strategies
1. Enterprise RAG Execution Blueprint
2. RAG Architect's Blueprint
3. Building RAG Systems From Concept to Code
4. Infographic: RAG Orchestration
5. Quiz: Practical Application and Orchestration
1. RAG Architecture Evaluation and Observability
2. Architect's Guide to RAG Eval
3. Evaluation and Observability
4. Infographic: Evaluation, Metrics, and Observability
5. Quiz: Mastering RAG Metrics
1. Enterprise RAG Architecture
2. Mastering Enterprise RAG
3. Architecting the Enterprise RAG Pipeline
4. Infographic: Scaling from Prototype to Production
5. Quiz: RAG Architecture and Future Proofing Strategy

About this course

$247.00
42 lessons
1 hour of video content

Mastering RAG

Course curriculum

Overview of the Course

M1: Fundamentals of LLMs and Retrieval Augmented Generation

M2:Architectural Foundations and Workflows of RAG Systems

M3: Data Chunking and Embedding Strategies

M4: Advanced Storage and Retrieval Techniques

M5 : Prompt Engineering and Generation Strategies

M6 : Practical Application and Orchestration

M7: Mastering RAG Metrics - Evaluation and Observability Strategies

M8: Enterprise RAG Architecture and Future Proofing Strategy

About this course