NVIDIA Digital Event
Generative AI Cohort
This cohort is now at maximum capacity. Please register your interest now for priority access to the next cohort.
The NVIDIA Deep Learning Institute invites you to a guided Generative AI Cohort that explores the latest in generative AI technology through the lens of a series of hands-on courses in collaboration with the UAE AI, Digital Economy, and Remote Work Applications Office.
Over 4 online live sessions, participants will explore the challenges and opportunities of leveraging generative AI. You’ll compose LLM systems, build RAG agents, and gain critical knowledge to stay at the forefront of this innovative technology.
NVIDIA DLI Cohorts combine the flexibility of self-paced courses with the support of an expert instructor.
How It Works:
- Live Sessions: A Cohort Coach will host four separate virtual sessions throughout the 10-day cohort to introduce key concepts, opportunities, and challenges for each upcoming course.
- Self-Paced Learning: Participants will complete complementary courses on their own schedule, ensuring they are ready for the next live coaching session.
- Ongoing Support: Scheduled office hours on Discord provide participants with the opportunity to get their questions answered outside of the live sessions.
Don’t miss this opportunity to dive into cutting-edge AI technologies and elevate your expertise with NVIDIA.
Cohort Courses
- Generative AI Explained
- Augment your LLM Using Retrieval Augmented Generation
- Building RAG Agents with LLMs
Prerequisites:
- Introductory deep learning knowledge, with comfort in PyTorch and transfer learning preferred.
- Intermediate Python experience, including object-oriented programming and libraries.
Agenda
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Day 1
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Day 2
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Day 3
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Day 4
Welcome and Introductions |
Cohort Overview and Resources |
Introduction to Course 1: Generative AI Explained |
Content Review and Course 1 Q&A |
Introduction to Course 2: Augment your LLM Using Retrieval Augmented Generation |
Content Review and Course 2 Q&A |
Introduction to Course 3: Introduction to Building RAG Agents with LLMs |
Content Review: Building RAG Agents with LLMs |
Q&A |
| Cohort close |
