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Advanced RAG Patterns

This course is part of Chroma, Weaviate & Production RAG Deployment Specialization

Instructor: LearningMate

Included with

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2 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

2 hours to complete

Flexible schedule

Learn at your own pace

2 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

2 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Build and evaluate advanced, self-correcting RAG systems for complex reasoning. Learn to ensure model faithfulness and improve response accuracy.

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

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Build your subject-matter expertise

This course is part of the Chroma, Weaviate & Production RAG Deployment Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 2 modules in this course

Advance RAG Patterns is an intermediate course designed for AI developers and ML engineers who have built a basic RAG pipeline but find it still fails on complex or nuanced queries. While foundational RAG reduces hallucinations, production-grade AI demands greater reliability, accuracy, and reasoning. This 2-hour course moves beyond the basics to teach you how to engineer robust, intelligent, and self-correcting systems.

Focused on practical, job-ready skills, this course dives deep into cutting-edge architecture. You will learn to implement and evaluate a suite of advanced patterns, including Corrective RAG for query rewriting, Self-RAG for source validation, and Agentic RAG for multi-hop problem-solving. Through hands-on, in-browser projects, you will A/B test these different architectures, analyze their performance against key metrics, analyze different embedding services, and make data-driven decisions on improving accuracy. By the end, you'll be able to not just build, but architect and defend production-ready RAG systems that are both powerful and trustworthy.

Module details

In this module, you will learn how to build pipelines that self-correct. You will implement patterns like Corrective RAG and Self-RAG to improve retrieval relevance and validate information before it ever reaches the user, leading to more accurate and trustworthy answers.

What's included

1 video1 reading2 assignments

In this module, you will learn to build truly intelligent systems by converting your RAG pipeline into a tool for a smart agent. You will construct an Agentic RAG system that can break down complex problems and use your retriever to find answers. Finally, you will learn to A/B test your different patterns and produce a data-driven report to prove their value.