“We needed a partner who understood both the technical depth of Azure OpenAI and the governance requirements of an enterprise.”
Enterprise Program Brief
NVIDIAIntermediate
Prompt Engineering With Llama 2
Covers how to interact with and prompt-engineer Llama 2 models for document analysis, text generation, and assistant use cases.
Duration
2 hours
Level
Intermediate
Format
Virtual, On-site, or Hybrid
Language
English
Executive brief for stakeholdersDownload Program Brief (PDF)
Enterprise Track
NVIDIA
Generative AI / LLMAI
Prompt Engineering With Llama 2
Llama 2
NVIDIA
On this page
Ideal for
AI DeveloperGenerative AI / LLMTailored Team DeliveryImplementation-Focused
Audience Profile
Built for these roles
Built for teams improving enterprise LLM usage through prompt design.
Overview
Executive overview
Official NVIDIA self-paced course on prompt engineering with Llama 2.
Readiness
Prerequisites
- Experience with deep learning training using Python.
Program Outcomes
Capabilities your teams will gain
Improve prompting strategy for LLM tasks
Apply prompt-engineering ideas in applied assistant scenarios
Curriculum
Curriculum roadmap
1
Prompting fundamentals
2
Document and assistant prompting
1Module 1
Apply prompt-engineering patterns
+
Module 1
Apply prompt-engineering patterns
Learn how better prompts improve LLM usefulness across common enterprise tasks.
- Prompting fundamentals
- Document and assistant prompting
Delivery Models
Delivery models
Virtual ILTOnsiteHybridExecutive WorkshopBootcampWeekend
Engagement Fit
Engagement fit
Implementation-focused labsPrivate cohort deliveryIntermediate practitioner depthBusiness outcome alignment
Enterprise Customization
Enterprise customization
Tailor this program to your organization's priorities: Helps teams improve LLM usefulness quickly through better prompting and model interaction practices.
- •Use your enterprise assistant scenario
- •Add evaluation and guardrail patterns
Credentials
Certification & official source
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
