Overview
This session brings you a hands-on session of condensed version of NVIDIA's DLI(Deep Learning Institute) course. Beyond a hands-on lab, participants will also get a guided walkthrough of NVIDIA's certification pathway, so you leave not just with working code, but with a clear roadmap to an industry-recognized AI credential.
What actually keeps an agent secure, and how do you build that in from the start? Learn how agents and their harnesses can be kept safe by design, using NemoClaw as the reference stack to bootstrap the system and OpenShell as the sandbox.
NVIDIA's Deep Learning Institute offers self-paced and instructor-led courses, hands-on labs, and certification, giving developers a defined progression from associate-level foundations to professional-level, industry-recognized certification. In this session you will also learn what steps to take next to pursue formal NVIDIA certification.
Note:
Due to limited capacity for this session, all registrations are subject to final approval.
By registering for this workshop, you agree to the sharing of your registration details with the workshop organising partners.
Course Description & Learning Outcomes
By the end of the session, participants will be able to:
· Implement reliable tool use and function calling within an agent system
· Use OpenShell to configure agent identities and ensure safe, sandboxed operations
· Deploy and manage secure and autonomous agents
· Understand NVIDIA's AI learning paths and NVIDIA-Certified Associate/Professional certification framework
· Identify next steps to continue their NVIDIA AI skills journey, certification exams relevant to agentic AI, physical AI and AI Factory development
Recommended Prerequisites
Developers with basic understanding of LLMs and APIs, and familiarity with CLI
Schedule
Date: 24 Sep 2026, Thursday
Time: 6:30 PM - 9:30 PM (GMT +8:00) Kuala Lumpur, Singapore
Location: 32 Carpenter Street, 059911
Agenda
| Day/Time | Agenda Activity/Description |
|---|---|
| 6.30pm | Registration |
| 7pm | Opening Remarks |
| 7.10pm | Overview of NVIDIA's AI learning content and AI skill certification pathway |
| 7.20pm | Sharing and Hands-on build |
| 8.45pm | What’s Next by NVIDIA and SGInnovate |
| 9pm | Networking |
Skills Covered
PROFICIENCY LEVEL GUIDE
Beginner: Introduce the subject matter without the need to have any prerequisites.
Proficient: Requires learners to have prior knowledge of the subject.
Expert: Involves advanced and more complex understanding of the subject.
- Artificial Intelligence (Proficiency level: Proficient)
