VNode ITeS
Enterprise AI, Data, and Cloud Training + Consulting

Build Real AI, Data & Cloud Capability in Your Teams

Outcome-driven training and consulting across Azure, Databricks, Fabric, Copilot, and Power Platform, led directly by a Microsoft Certified Trainer.

Azure, Fabric, Databricks, and Copilot capability building

Training and consulting shaped around implementation outcomes

Delivery Model

Founder-Led

Engagement Style

Hands-On

Client Focus

Enterprise Teams

Platform Depth

Microsoft-Aligned

Why Teams Choose VNode ITeS

Practical programs built for adoption, execution, and measurable readiness.

Capability Planning

Not sure which program fits your team today?

Start with a practical capability planning conversation. We'll help map priorities, team roles, and platform direction to the right engagement.

Technology Coverage

Capability across the platforms shaping today's delivery priorities.

Training and advisory work is centered on the platforms teams are adopting and scaling right now.

Platform Cluster

Cloud, Data, and AI Platforms

Build practical team capability across Azure, Fabric, and Databricks for modern architecture, analytics, and AI delivery.

AzureFabricDatabricks

Platform Cluster

Business Applications and Automation

Support business teams and solution owners with Power Platform, Dynamics 365, and workflow-centered capability building.

Power PlatformDynamics 365Copilot Studio

Platform Cluster

Adoption Priorities in Motion

Enable real implementation progress in Copilot, GitHub, and AI productivity scenarios that are shaping current enterprise demand.

CopilotGitHubAzure AI

Why Teams Choose Us

Trusted, practical, and built for real enterprise outcomes.

Programs are designed to improve team readiness, implementation confidence, and measurable delivery progress.

  • Founder-Led Delivery

    Direct delivery by Parveen KR, Microsoft Certified Trainer.

  • Business-Aligned Outcomes

    Programs mapped to implementation and delivery goals.

  • Role-Based Tracks

    Focused learning paths for technical and business teams.

  • Hands-On by Design

    Lab-driven sessions grounded in enterprise scenarios.

  • Consulting-Backed Enablement

    Consulting extension available for rollout, adoption, and implementation support.

  • Executive-Visible Outcomes

    Delivery shaped around measurable progress and decision-ready outcomes.

How it works in practice

A few examples of what this looks like when it lands well.

These are based on real engagements — details anonymised. Every scope is shaped from scratch after we understand your context.

Banking

Getting a banking data team onto Fabric before a hard deadline

The situation: Reporting and engineering were working in silos — a regulatory delivery date was closing in and the team had never used Fabric in production.

What we did: We ran role-based Fabric workshops directly with the data engineers and analysts, then stayed involved in the architecture decisions for their phased rollout.

What changed: The team shipped on time, handoffs between squads got cleaner, and the leads felt confident making platform calls without waiting on external consultants.

Healthcare Technology

Helping a healthcare product org use Copilot without breaking compliance

The situation: Leadership wanted to move fast on AI productivity tools, but compliance requirements made people cautious. Adoption was stalling because no one was sure what was safe.

What we did: We ran governance sessions tailored to their actual workflows — not generic AI safety slides, but working through real scenarios with business and technical teams together.

What changed: People started using the tools consistently. Teams knew what was allowed and why, and adoption ownership shifted from IT to the business units.

Retail

Onboarding engineers to Databricks while modernising live pipelines

The situation: New engineers were joining a data team mid-modernisation. Pipelines needed to move to real-time, but the team kept switching between onboarding and delivery work.

What we did: We combined hands-on Databricks bootcamp sessions with targeted advisory on the pipelines that mattered most — so upskilling and delivery happened in parallel.

What changed: New contributors were productive faster, and the pipeline work maintained its pace without the usual slowdown that comes with team growth.

Pricing and scope

Every engagement is scoped after a conversation — size of team, what you want people to be able to do, and how much of the work sits with us vs. your team. No off-the-shelf pricing. Get in touch and we’ll put together something that makes sense for your situation.

Programs in Focus

Priority programs across Microsoft, Databricks, and NVIDIA.

Chosen to reflect the platforms, roles, and skills organizations are prioritizing most across AI, data, cloud, and automation.

Updated Daily

Microsoft Role-BasedHigh Demand
Data

Design and Manage Analytics Solutions Using Power BI

Builds a stronger analytics delivery foundation by helping teams design, model, visualize, secure, and manage Power BI reporting solutions correctly.

3 days
Power BIData Preparation
Microsoft Applied Skill
Security

Prepare security and compliance to support Copilot for Microsoft 365

Reduces rollout risk for Copilot by strengthening security and compliance readiness before adoption.

Applied skill assessment
Microsoft 365 CopilotSecurity
Databricks Track
Data

Advanced Data Engineering with Databricks

Helps experienced engineering teams improve performance, privacy, deployment discipline, and streaming operations for enterprise Databricks platforms.

3 days
Structured StreamingData Privacy
NVIDIA Program
AI

Building Real-Time Video AI Applications

Supports faster rollout of video AI use cases in operations, retail, and safety scenarios.

2 hours
Video AIReal-Time Processing
Microsoft
AI Productivity & Automation

Agentic AI Business Solutions Architect

Helps organizations shape stronger business-facing AI architectures with clearer governance and solution decisions.

2 days
Agentic AIBusiness Solution Architecture
Microsoft
Software Dev

GitHub Foundations

Creates a practical baseline for GitHub adoption across engineering and delivery teams.

1 day
RepositoriesPull Requests

Roadmap Support

Need short-term support around rollout, adoption, or delivery pressure?

We help teams align enablement, adoption support, and practical next steps across the next 30, 60, and 90 days.

Explore Next-Step Programs

Delivery Model

How we move from capability gaps to delivery progress.

Every engagement is structured to connect business context, learning design, and practical execution support.

  • 01

    Step 1

    Map business priorities and role gaps

    Start with business context, audience needs, and delivery goals.

  • 02

    Step 2

    Select the right platform and learning path

    Match the right pathway to the platform, role, and expected outcome.

  • 03

    Step 3

    Deliver labs, workshops, and role-based sessions

    Run practical sessions built around real scenarios and guided practice.

  • 04

    Step 4

    Support rollout, adoption, and next steps

    Carry learning forward into adoption, implementation, and follow-through.

Next Step

Ready to move from capability gaps to delivery-ready teams?

We can help define the right AI, data, or cloud engagement for your teams and structure delivery around measurable business progress.

  • Clear program scope and timeline
  • Practical delivery with measurable outcomes
  • Direct access to trainer-led guidance
Ask Kriya AI