Retrieval-Augmented Generation (RAG) Introduction

Retrieval-Augmented Generation (RAG) Introduction is a four-hour class that provides a practical overview of RAG and its role in building smarter, data-aware AI applications. Participants will learn how large language models (LLMs) integrate with retrieval systems to deliver accurate, grounded responses, exploring key concepts such as chunking, data preparation, vector databases, and embeddings. The session also introduces advanced enhancement techniques like re-ranking and context optimization, giving attendees a solid foundation for designing and implementing effective RAG-based solutions.

Topics Discussed:

1. LLM Overview and application design
2. Retrieval-Augmented Generation (RAG) concepts
3. Chunking and data preparation
4. Vector Databases and Embeddings
5. Re-ranking and other enhancement techniques

This course is included in the AI Learning Subscription.

Duration

½ day

Audience

AI Developers, Data Science Personnel, Architects, SREs, AIOps, PlatformOps and DevOps personnel.

Register 21 days before class start date and save 10%! Enter discount code EARLY10 during registration.

Register 21 days before class start date and save $250! Enter discount code EARLY250 during registration.

Is there a discount available for current students?

UMBC students and alumni, as well as students who have previously taken a public training course with UMBC Training Centers are eligible for a 10% discount, capped at $250. Please provide a copy of your UMBC student ID or an unofficial transcript or the name of the UMBC Training Centers course you have completed. Asynchronous courses are excluded from this offer.

What is the cancellation and refund policy?

Student will receive a refund of paid registration fees only if UMBC Training Centers receives a notice of cancellation at least 10 business days prior to the class start date for classes or the exam date for exams.