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

Course Plan3 Days
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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!

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Taught by

Sander Schulhoff

Sander Schulhoff

Founder & CEO, Learn Prompting

What You'll Learn

  • 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 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.

Why Business Professionals Need This Course

After completing this course, you'll be equipped with practical knowledge to lead AI initiatives:

  • Technical Communication: Effectively discuss RAG implementation with your development team
  • Strategic Vision: Identify high-impact opportunities to integrate RAG into business processes
  • Leadership Skills: Confidently guide stakeholder conversations about AI technology
  • Business Application: Transform operations from customer support to content creation

This course delivers practical, non-technical knowledge that empowers you to make informed decisions about RAG implementation in your organization.

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.

Who Should Enroll?

  • Business Leaders: Understand how RAG can improve decision-making and business efficiency.
  • Non-Tech Professionals: Learn how AI retrieves and processes real-time information without needing coding expertise.
  • Managers & Team Leaders: Explore how RAG solutions integrate into business workflows and operations.
  • AI Enthusiasts & Curious Learners: Learn how RAG bridges the gap between static AI models and dynamic knowledge sources.

Course Outline

Introduction to RAG

What is Retrieval-Augmented Generation?

Why RAG is Transforming AI Applications

Core Components of RAG Systems

Understanding the RAG Architecture

Basic vs. Agentic RAG

Traditional RAG Systems: A Deep Dive

Agentic RAG: Autonomous Information Retrieval

Business Impact of Autonomous Retrieval

Implementing Agentic RAG Solutions

Vector Databases Simplified

Vector Databases: The Foundation of RAG

How Vector Databases Enable Semantic Search

Optimizing Database Performance

Real Business Applications of Vector DBs

Practical Applications

RAG for Customer Support Excellence

Content Creation and Management

Building Dynamic Knowledge Systems

Industry Case Studies

Course Conclusion

Key Learnings Review

Certificate of Completion

Next Steps in Your RAG Journey

Course Format

  • Duration: 3 Days (self-paced) with concise video lessons for busy learners.
  • Materials: Video content, interactive exercises, and quizzes.
  • Access: Available with a Learn Prompting Plus subscription, granting you access to 16 courses and certificates of completion that you can share on LinkedIn or any platform to highlight your new skills.

Meet Your Instructor

Sander Schulhoff

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.

Why Choose This Course?

  • 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.

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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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