Course Overview
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
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.
What you’ll learn
How will this course benefit the student?
- Harness the Power of LLMs
- Gain Competitive Skills with RAGs
- Advance Your Career
Requirements
- Participants should have basic programming skills (preferably in Python), a foundational understanding of mathematics and statistics, some experience with data analysis.
Target audiences
- AI/ML Developers. Software & Data Engineers, IT and QA Staff. Technical Managers and more!
Curriculum
- 1 Section
- 4 Lessons
- 1 Day
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Instructor
