“We needed a partner who understood both the technical depth of Azure OpenAI and the governance requirements of an enterprise.”
Enterprise Program Brief
Developing Secure AI Agents with LLMs
NVIDIA training program: Developing Secure AI Agents with LLMs.
Track: NVIDIA DLI Certificate of CompetencyNVIDIAIntermediate
Download Program Brief (PDF)Program Snapshot
Engagement scoped to cohort
Duration8 hours
FormatVirtual, On-site, or Hybrid
LevelIntermediate
Certification TrackNVIDIA DLI Certificate of Competency
SubjectDeveloping Secure AI Agents with LLMs
- MCT-led delivery
- Private cohort / virtual ILT
- Typical response: 1 business day
Scoping call typically scheduled within one business day
VNode ITeS delivers Developing Secure AI Agents with LLMs as an MCT-led NVIDIA program for AI Practitioner. Typical duration is 8 hours (Virtual, On-site, or Hybrid). Labs follow production-shaped scenarios rather than slide-only walkthroughs. Private cohorts can shift emphasis by role mix, workspace or repo constraints, and rollout timing.
Audience Profile
Built for these roles
Built for AI Practitioner learners adopting Developing Secure AI Agents with LLMs.
- AI Practitioner
- Developing Secure AI Agents with LLMs
- Tailored Team Delivery
- Implementation-Focused
Overview
Executive overview
NVIDIA Deep Learning Institute-aligned program for Developing Secure AI Agents with LLMs.
Prerequisites
- Relevant foundational experience in the target technology area.
- Comfort with hands-on labs in a cloud or GPU-accelerated environment.
Program Outcomes
Capabilities your teams will gain
- Strengthen capability in developing secure ai agents with llms scenarios
- Strengthen capability in nvidia nemo scenarios
- Strengthen capability in generative ai / llm scenarios
Enterprise Delivery
Official learning & delivery options
Review the vendor learning resource, then book a consultation or request a private cohort for your team.
Curriculum
Curriculum roadmap
- Developing Secure AI Agents with LLMs
- NVIDIA NeMo
- Generative AI / LLM
1Module 1
Developing Secure AI Agents with LLMs
+
Module 1
Developing Secure AI Agents with LLMs
Cover developing secure ai agents with llms skills and implementation practices aligned to Developing Secure AI Agents with LLMs.
- Cover developing secure ai agents with llms skills
- implementation practices aligned to Developing Secure AI Agents with LLMs
2Module 2
NVIDIA NeMo
+
Module 2
NVIDIA NeMo
Cover nvidia nemo skills and implementation practices aligned to Developing Secure AI Agents with LLMs.
- Cover nvidia nemo skills
- implementation practices aligned to Developing Secure AI Agents with LLMs
3Module 3
Generative AI / LLM
+
Module 3
Generative AI / LLM
Cover generative ai / llm skills and implementation practices aligned to Developing Secure AI Agents with LLMs.
- Cover generative ai / llm skills
- implementation practices aligned to Developing Secure AI Agents with LLMs
Delivery Models
Delivery models
Virtual ILTOnsiteHybridExecutive WorkshopBootcampWeekend
Engagement Fit
Engagement fit
- Implementation-focused labs
- Private cohort delivery
- Intermediate practitioner depth
- Business outcome alignment
Enterprise Customization
Enterprise customization
Tailor this program to your organization's priorities: Builds NVIDIA GPU-accelerated skills for developing secure ai agents with llms with hands-on DLI-style labs.
- Align labs to your production environment and platform priorities
- Add readiness reviews and instructor-led practice sessions
- Extend into project-specific architecture or delivery coaching
Credentials
Certification & official source
- •NVIDIA DLI Certificate of Competency
Aligned to the official source referenced for this program.
View Official SourceResources
Program resources
Yes. Most enterprise clients prefer private delivery scoped to role mix, timezone, and rollout timeline. We align lab environments and scenarios to your tenant context where applicable.
Enterprise Proof
Trusted delivery outcomes
Retail & E-commerce
Representative Retail Analytics Team
Instead of treating reporting as a tooling issue alone, the work focused on consistency, governance, and shared delivery practices across analysts and engineering teams.
- Higher consistency in report design practices
- Improved collaboration between analysts and engineering teams
Healthcare
Representative Healthcare Product Team
The engagement helped product and engineering stakeholders move from interest in AI to clearer implementation choices, security expectations, and prototyping discipline.
- Stronger alignment between product and engineering teams
- Improved clarity on prototype-to-production requirements
Delivery Capability
Enterprise-grade instruction
MCT-led delivery
Programs led by Microsoft Certified Trainer practitioners
Enterprise program oversight
Founder-led specialist delivery with structured rollout planning
Global delivery
APAC · EMEA · Americas · Virtual & Onsite
Implementation-focused
Hands-on labs aligned to production scenarios
