Training > AI/Machine Learning > Retrieval Augmented Generation (RAG) Introduction (RXM403)
INSTRUCTOR-LED COURSE

Retrieval Augmented Generation (RAG) Introduction (RXM403)

Learn about Large Language Models (LLM) and how RAGs combine generative and retrieval-based AI models to extend the already powerful capabilities of LLMs. Get the knowledge you need about how a RAG works and how it’s assembled from component parts.

Key Benefits for You:

✔ Live, instructor-led hands-on labs
✔ Develop unique skills
✔ Use RAG to refine LLM outputs

How will this course benefit me?

  • Harness the Power of LLMs
  • Gain Competitive Skills with RAGs
  • Advance Your Career

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How is this course unique?
With our hands-on labs, you will develop a RAG using existing LLM and AI tools and apply RAG techniques to designs to solve problems.
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Who can benefit from this course?
AI/ML Developers. Software & Data Engineers, IT and QA Staff. Technical Managers and more!
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Course Outline
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Module 1: LLM Overview
- Lab: Building an LLM Endpoint
Module 2: RAG Overview
- Lab: Data Collection and Chunking
Module 3: Vector Databases and Embedding
- Lab: Creating Embeddings and Ingesting Data
Module 4: RAG Techniques and Enhancements
- Labs: Building the Final RAG Solution
Prerequisites
Participants should have basic programming skills (preferably in Python), a foundational understanding of
mathematics and statistics, some experience with data analysis.
About this Course
The Linux Foundation has partnered with the AI/ML experts at rx-m to offer this course to the community.
$695
Dec 17, 2024
9:00 am - 5:00 pm US/Central
Virtual, Instructor-Led
GUARANTEED With Next Enrollment Classes will be guaranteed to run with next enrollment.
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Includes
Live Online (Virtual) or Live (Classroom)
1 day of Instructor-led class time
Hands-on Labs
Resources
Certificate of Completion
Experience Level: Intermediate
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