“The Microsoft Fabric implementation program gave our data engineering team a structured path from legacy pipelines to a modern lakehouse architecture.”
Enterprise Program Brief
Write better prompts for Codex
OpenAI’s Codex prompting and best-practice documentation helps developers write higher-quality coding prompts. Listed as an official external resource; not a VNode enrollment.
OpenAIBeginner to Intermediate
Download Program Brief (PDF)Program Snapshot
Engagement scoped to cohort
DurationSelf-paced
FormatSelf-paced / Online
LevelBeginner to Intermediate
SubjectCodex Prompting
- MCT-led delivery
- Private cohort / virtual ILT
- Typical response: 1 business day
Scoping call typically scheduled within one business day
VNode ITeS delivers Write better prompts for Codex as an MCT-led OpenAI program for Developers writing Codex prompts. Typical duration is Self-paced (Self-paced / Online). Delivery stays scoped to how your teams will actually use the platform after the room empties.
Audience Profile
Built for these roles
Developers writing Codex prompts
- Developers writing Codex prompts
- Codex Prompting
Overview
Executive overview
Official OpenAI guidance on prompting Codex with clear goals, context, constraints, and done-when criteria.
Prerequisites
- Access to the vendor learning platform or documentation site
Program Outcomes
Capabilities your teams will gain
- Explore official guidance on Goal and context prompting
- Explore official guidance on Constraints
- Explore official guidance on Verification criteria
- Explore official guidance on AGENTS.md patterns
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
- Goal and context prompting
- Constraints
- Verification criteria
- AGENTS.md patterns
1Module 1
Module 1
+
Module 1
Module 1
Goal and context prompting
- Goal and context prompting
- Constraints
- Verification criteria
2Module 2
Module 2
+
Module 2
Module 2
Constraints
- AGENTS.md patterns
3Module 3
Module 3
+
Module 3
Module 3
Verification criteria
- Verification criteria
4Module 4
Module 4
+
Module 4
Module 4
AGENTS.md patterns
- AGENTS.md patterns
Delivery Models
Delivery models
Virtual ILTOnsiteHybridExecutive WorkshopBootcampWeekend
Engagement Fit
Engagement fit
- Beginner to Intermediate practitioner depth
- Business outcome alignment
Enterprise Customization
Enterprise customization
Tailor this program to your organization's priorities: Improves Codex prompt quality using vendor-authored guidance before deeper enterprise enablement.
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
“We needed a partner who understood both the technical depth of Azure OpenAI and the governance requirements of an enterprise.”
Banking & Finance
Representative Enterprise Banking Team
The focus was not just on tooling knowledge, but on helping teams work from a shared operating model as they adopted a more modern data platform.
- Clearer platform operating model across teams
- Improved confidence in modern data stack adoption
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
