Introduction to Retrieval-Augmented Generation (RAG) for Business Professionals

Plus • 3 Days

10,673 learners enrolled

Learn the fundamentals of Retrieval-Augmented Generation (RAG) to build smarter, more reliable AI systems. No coding is required, just practical, real-world insights!

Taught by

Sander Schulhoff

Founder & CEO, Learn Prompting

What You'll Learn

By completing this course, you'll be able to:

How RAG works, its role in AI systems, and why it matters.
The core components of RAG, including vector databases, retrieval mechanisms, and response generation.
How RAG improves AI systems by retrieving relevant information from dynamic sources.
How to transition from traditional RAG to autonomous, agentic RAG solutions.

Course Outline

1. Introduction to RAG

1.1What is Retrieval-Augmented Generation?
1.2Why RAG is Transforming AI Applications
1.3Core Components of RAG Systems
1.4Understanding the RAG Architecture

2. Basic vs. Agentic RAG

2.1Traditional RAG Systems: A Deep Dive
2.2Agentic RAG: Autonomous Information Retrieval
2.3Business Impact of Autonomous Retrieval
2.4Implementing Agentic RAG Solutions

3. Vector Databases Simplified

3.1Vector Databases: The Foundation of RAG
3.2How Vector Databases Enable Semantic Search
3.3Optimizing Database Performance
3.4Real Business Applications of Vector DBs

4. Practical Applications

4.1RAG for Customer Support Excellence
4.2Content Creation and Management
4.3Building Dynamic Knowledge Systems
4.4Industry Case Studies

5. Course Conclusion

5.1Key Learnings Review
5.2Certificate of Completion
5.3Next Steps in Your RAG Journey

Course Overview

By their nature, large language models (LLMs) rely on the data they were once trained on. But if one wants to update that data to include up-to-date information or internal company information, they would need to retrain LLMs. This is a costly and laborious process. However, it was before Retrieval-Augmented Generation (RAG). RAG eliminates the need for retraining and is much cheaper to implement.

In this course, you'll explore the main ideas behind RAG and its implementation process. You'll learn the main concepts behind AI systems that optimize the output of LLMs by retrieving live, relevant information to enhance their output.

Through accessible explanations and real-world examples, you'll learn how RAG bridges the gap between static AI models and dynamic knowledge sources. Whether it's powering intelligent chatbots or enabling accurate customer support systems, this course provides the foundational knowledge to understand the transformative impact of RAG.

Skills You'll Gain

Communicating RAG Concepts: Explain RAG's capabilities and benefits to both technical and non-technical teams.
Strategic AI Integration: Identify areas where RAG can improve efficiency and decision-making within your organization's specific context and industry.
Understanding AI Retrieval Systems: Learn the key components of vector databases, indexing, and retrieval.

Course Format

Duration: Self-paced with concise video lessons for busy learners
Materials: Video content, interactive exercises, and quizzes
Access: Available with a Learn Prompting Plus subscription

Meet Your Instructor

Sander Schulhoff

Founder & CEO, Learn Prompting

Sander Schulhoff is the Founder of Learn Prompting and an ML Researcher at the University of Maryland. He created the first open-source Prompt Engineering guide, which reached 3 million people and taught them to use tools like ChatGPT. Sander also led a team behind Prompt Report, the most comprehensive study of prompting ever done. This 76-page survey, co-authored with researchers from the University of Maryland, OpenAI, Microsoft, Google, Princeton, Stanford, and other leading institutions, analyzed 1,500+ academic papers and covered 200+ prompting techniques.

Course Highlights

Clear and Practical: Lessons are concise and focused on real-world applications.
No Coding Required: Designed for professionals who want AI knowledge without technical complexity.
Actionable Insights: Apply what you learn immediately in business discussions and decision-making.
Industry Use Cases: See how leading companies use RAG for more accurate and dynamic AI systems.

Earn a Certifiate of Completion

By upgrading to Learn Prompting Plus, you automatically receive a certificate of completion for every course you complete. These certificates can easily be shared on LinkedIn, Twitter, or any other social platform to showcase your new skillset.

Program Pricing and Details

This course is included in our Learn Prompting Plus catalog, accessible with a monthly or yearly subscription.

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Join this course to discover how Retrieval-Augmented Generation is transforming AI and how you can implement it in your industry.

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