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We're here to help you find itGenerative AI & RAG Systems on NVIDIA Course Overview
Unlock the future of technology with our Generative AI & RAG Systems on NVIDIA course. Spanning two days, this course provides an immersive dive into Generative AI and Retrieval-Augmented Generation (RAG) Systems. With a basic understanding of deep learning and intermediate Python skills, you'll learn to create new content using neural networks. In Module 01, we'll explore the foundations of Generative AI, its applications, and the challenges and opportunities it presents. Module 02 delves into building sophisticated RAG agents using Large Language Models (LLMs). By the end, you'll master dialog management, document interaction, and embedding models for content retrieval.
Purchase This Course
USD
View Fees Breakdown
Course Fee | 1,075 |
Total Fees |
1,075 (USD) |
USD
View Fees Breakdown
Course Fee | 850 |
Total Fees |
850 (USD) |
USD
View Fees Breakdown
Flexi Video | 16,449 |
Official E-coursebook | |
Exam Voucher (optional) | |
Hands-On-Labs2 | 4,159 |
+ GST 18% | 4,259 |
Total Fees (without exam & Labs) |
22,359 (INR) |
Total Fees (with exam & Labs) |
28,359 (INR) |
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♱ Excluding VAT/GST
You can request classroom training in any city on any date by Requesting More Information
To ensure a successful learning experience in the Generative AI & RAG Systems on NVIDIA course, we recommend the following prerequisites:
These prerequisites will help you make the most out of the course and ensure you can effectively engage with the material presented. If you're comfortable with these topics, you'll be well-prepared to dive into the exciting world of Generative AI and Retrieval-Augmented Generation (RAG) Systems using NVIDIA technologies.
The Generative AI & RAG Systems on NVIDIA course provides a comprehensive insight into Generative AI concepts and the deployment of retrieval-augmented generation systems using large language models. Over two days, participants will explore foundational knowledge, practical applications, and advanced orchestration techniques for building effective AI systems.
Module 01: Introduction to Generative AI
Module 02: Building RAG Agents with LLMs