“The Microsoft Fabric implementation program gave our data engineering team a structured path from legacy pipelines to a modern lakehouse architecture.”
Enterprise Program Brief
VNode ITeSIntermediate
Enterprise Developer AI Champion Program
AIC-300 is a VNode enterprise academy path for nominated champions. Participants deepen multi-tool fluency, facilitation skills, governance literacy, and enablement planning so they can run office hours, pattern libraries, and cohort coaching. Completion yields a VNode completion record — not a vendor certificate.
Duration
24 hours
Level
Intermediate
Format
Virtual, On-site, or Hybrid
Language
English
Executive brief for stakeholdersDownload Program Brief (PDF)
Enterprise Track
Microsoft
Enterprise AcademyIT
Enterprise Developer AI Champion Program
Developer AI Champions
AI Coding
On this page
Ideal for
Champion Engineer, Tech Lead, DevEx LeadEnterprise AcademyTailored Team DeliveryImplementation-Focused
Audience Profile
Built for these roles
Nominated Developer AI Champions Staff/principal engineers leading enablement DevEx leads running adoption programs
Overview
Executive overview
Enterprise academy that prepares Developer AI Champions to coach teams, set standards, and sustain AI coding adoption across the organization.
Readiness
Prerequisites
- Strong hands-on AI coding experience
- Sponsorship to act as a team or org champion
Program Outcomes
Capabilities your teams will gain
Run champion office hours and team coaching sessions
Publish reusable AI coding patterns for the organization
Partner with security on exceptions and controls
Drive a multi-team adoption roadmap with measurable outcomes
Curriculum
Curriculum roadmap
1
Champion role and enterprise operating model
2
Deep-skill labs across coding agent workflows
3
Enablement design and facilitation practice
4
Capstone: org adoption plan and pattern library
1Module 1
Champion role and enterprise operating model
+
Module 1
Champion role and enterprise operating model
VNode-designed module covering champion role and enterprise operating model for enterprise AI coding adoption.
- VNode-designed module covering champion role
- enterprise operating model for enterprise AI coding adoption
2Module 2
Deep-skill labs across coding agent workflows
+
Module 2
Deep-skill labs across coding agent workflows
VNode-designed module covering deep-skill labs across coding agent workflows for enterprise AI coding adoption.
- Coaching, change, and enablement design
- Governance partnership and escalation paths
3Module 3
Enablement design and facilitation practice
+
Module 3
Enablement design and facilitation practice
VNode-designed module covering enablement design and facilitation practice for enterprise AI coding adoption.
- VNode-designed module covering enablement design
- facilitation practice for enterprise AI coding adoption
4Module 4
Capstone: org adoption plan and pattern library
+
Module 4
Capstone: org adoption plan and pattern library
VNode-designed module covering capstone: org adoption plan and pattern library for enterprise AI coding adoption.
- VNode-designed module covering capstone: org adoption plan
- pattern library for enterprise AI coding adoption
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: Builds an internal bench of champions who scale AI coding adoption beyond a single pilot team.
- •Map labs to your repositories, languages, and delivery toolchain
- •Emphasize Copilot, Cursor, Claude Code, Codex, or a multi-tool mix
- •Add security, governance, or champion-enablement modules for enterprise rollout
Resources
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