Platform Solutions
Dedicated enablement for each platform you're building on
Eight focused solution areas — each with a structured enablement program, certification pathway, implementation journey, and MCT-led delivery. Built for enterprise data and AI teams moving from pilot to production.
All Platform Solutions
Choose the solution area that matches your current implementation priority
Microsoft Fabric Enablement
Move your Fabric pilots into production with MCT-led enablement covering Lakehouse architecture, Real-Time Intelligence, Direct Lake semantic models, and DP-600/DP-700 certification preparation.
Azure OpenAI Adoption
Move beyond Azure OpenAI demos with MCT-led enablement covering production RAG architecture, Azure AI Foundry, Semantic Kernel orchestration, AI-102 certification, and enterprise responsible AI controls.
GitHub Copilot Governance
Enterprise Copilot adoption with governance — MCT-led programs covering GH-300 certification, responsible AI policy, IP and data handling controls, adoption measurement, and team-specific prompt patterns.
Enterprise AI Readiness
Start with a scored AI Readiness Assessment that maps your strategy, data, skills, and governance maturity — then follow a tier-matched enablement program designed for your specific readiness stage.
Databricks Modernization
Accelerate Databricks adoption with MCT-led enablement covering Delta Lake production patterns, Unity Catalog governance, DP-750 certification, and Databricks ML and GenAI engineering programs.
AI Center of Excellence
Design and activate an enterprise AI Centre of Excellence — operating model, governance charter, role definitions, cross-functional AI literacy programs, and a structured use-case intake process.
Prompt Engineering for Enterprise
Production-grade prompt engineering enablement — RAG architecture with Azure AI Search, structured prompting patterns, LLM evaluation pipelines, Semantic Kernel orchestration, and responsible AI guardrails.
AI Governance Framework
Operationalise your enterprise AI governance framework — MCT-led programs covering responsible AI policy design, Microsoft Purview configuration, Azure AI Content Safety, and Entra ID identity governance.
The VNode ITeS Approach
Platform-specific enablement, not generic AI training
Each solution page maps a specific enterprise platform challenge to a structured enablement program — with a defined assessment phase, designed learning tracks, MCT-led delivery, and an adoption handover. We don't run the same course for every team.
Programs are built for teams already working on these platforms — not for teams deciding whether to use them. The starting point is where your team is now, not where a course outline assumes they are.
Assess
Current platform state, skill gaps, and readiness reviewed before a single program is designed.
Design
Role-split tracks and delivery scope shaped to match your team structure and implementation targets.
Enable
MCT-led delivery with hands-on labs, certification preparation, and architecture context throughout.
Adopt
Workspace conventions, governance configuration, and runbooks handed over at close of engagement.
Where to Start
Not sure which solution area to prioritise?
Take the AI Readiness Assessment to understand where your team sits across strategy, data, skills, and governance — then map that to the right solution program.
