Consulting and advisory
Clarify the requirement, review options and agree architecture, governance and implementation boundaries.
VNode ITeS Our people
Professional profile · VNode ITeS
Parveen KR
Founder & Principal Consultant
Frontier Transformation Engineer · Agentic AI Business Solutions Architect · Microsoft Certified Trainer
Consulting, practical engineering and technical training for leadership, management, business and technical teams.
Forward Deployed Engineering (FDE): customer discovery, solution engineering, evaluation and handover.
I have worked with leadership and management teams, business teams and technical practitioners across training, consulting and capability development. The starting point varies: leaders may need to evaluate an adoption decision, managers may need to prepare their teams, and practitioners may need to build, test or improve a solution.
Across 22+ years, my work has connected technical subjects with the decisions and practical work people are responsible for. For each engagement, we agree the intended outcome, the depth required and how the work will be reviewed.
Microsoft Certified Trainer since 2012
Training · Consulting · Applied labs
22+
Years across training, consulting
and capability development
50,000+
Professionals enabled
across Parveen’s career
2,500+
Sessions delivered
across Parveen’s career
International delivery
Programmes delivered to client teams across countries.
Across Parveen’s career
01 / Working with me
How I can support your team.
I lead VNode ITeS engagements across consulting, scoped engineering and technical training. I also work with vendors and delivery partners on agreed assignments, with the subject, audience, responsibilities and practical requirements reviewed before we begin.
Scoped engineering
Agree a bounded piece of application, integration, data or agent work, including testing and handover expectations.
Technical training and partner delivery
Prepare audience-appropriate learning, demonstrations and practical exercises for direct clients or delivery partners.
02 / Expertise
What we can work on together.
The subject matters, but so does the starting point. We agree what your team already knows, what they need to do next and how much practical work the engagement should include.
01
AI, Copilot and agents
Help your team work with Copilot and agents, check the answers they receive and decide where human review is needed.
Copilot Studio Apps and Copilot Managed Runtime — Preview. These are separate from Power Apps code apps. Preview topics require an agreed scope and tenant readiness.
Topics and practical work
- What we cover
- Microsoft 365 Copilot; Copilot Studio agents and workflows using the Microsoft Copilot harness (formerly GitHub Copilot harness); standard-harness agents and agent flows. Microsoft Foundry model selection, knowledge grounding, tools, evaluation and tracing. Workflows, agent flows and Power Automate flows are different experiences.
- Who it suits
- Leadership and management teams, business users, developers, solution teams and AI practitioners.
- The practical work
- Review a workflow, check grounded answers, test tool permissions and agree human review points. Feature access, licensing and environment readiness are checked before practical work.
02
Microsoft 365, SharePoint and Teams
Help people use collaboration tools well, while administrators keep sites, sharing and access under control.
Topics and practical work
- What we cover
- SharePoint sites, pages, lists and document libraries; Teams collaboration for end users; SharePoint administration, permissions and external sharing; agents in SharePoint and their access to permitted content.
- Who it suits
- End users, site owners, Microsoft 365 administrators and managers responsible for collaboration and adoption.
- The practical work
- Practise collaboration tasks, review site ownership and sharing, and test agent answers with different user permissions. Agent access depends on supported licensing or pay-as-you-go arrangements.
03
Microsoft 365 development and Graph
Build extensions and integrations around the way people work in SharePoint and Teams.
Topics and practical work
- What we cover
- SharePoint Framework (SPFx) web parts and extensions; Teams applications and supported SPFx tabs; Microsoft Graph API integration, delegated and application permissions, consent and least privilege.
- Who it suits
- Developers, solution architects and technical administrators responsible for application access and deployment.
- The practical work
- Scope an application, call an appropriate Graph endpoint and review permissions. Delegated access combines granted permissions with user access; app-only access uses the application identity and its granted permissions.
04
Data, Fabric and Databricks
Work through how data is collected, transformed and used, with practical attention to quality and access.
Selected Fabric AI integrations and protections remain Preview, including Purview protection capabilities for Fabric data agents. Data-agent availability does not establish availability of every connected feature.
Topics and practical work
- What we cover
- Microsoft Fabric, OneLake, Power BI, data engineering and lakehouse patterns. Fabric Copilot experiences, Fabric data agents, notebook AI functions and data science/model evaluation. Azure Databricks, Unity Catalog governance and MLflow evaluation for generative AI.
- Who it suits
- Data engineers, analysts, architects, administrators, and platform teams.
- The practical work
- Follow data from ingestion through reporting, inspect governed access and compare results with known examples. Notebook AI functions can classify, summarise and extract information; generated outputs still need review. Capacity, tenant settings, region and feature availability are checked first.
05
Azure and application engineering
Connect application code, APIs and cloud services, then review the identity, testing and release decisions.
Topics and practical work
- What we cover
- Azure architecture and administration, C#/.NET, ASP.NET Core, Python, APIs, identity, integration and CI/CD.
- Who it suits
- Developers, cloud engineers, DevOps teams, architects, and technical leads.
- The practical work
- Work in a repository: build an API, handle identity, write tests and review what needs to happen before release.
06
Power Platform and Dynamics 365
Build an understanding of the business process before choosing the application, automation or configuration work.
Topics and practical work
- What we cover
- Power Apps canvas apps, model-driven apps and code apps; Power Automate, Power Pages and Dataverse. Code apps support code-first web development with platform data connections and governance. Dynamics 365 training and demonstrations across Sales, Field Service, Customer Insights, Customer Service, Commerce, Project Operations and Human Resources; application-specific scope is agreed separately.
- Who it suits
- Makers, functional consultants, business teams, and application delivery groups.
- The practical work
- Configuration, customisation, business process flows, security roles and integration exercises. We agree the application and depth first, including whether Customer Insights means Data or Journeys. Check environment enablement and licensing for code apps. Training and demonstrations are scoped separately from production implementation.
07
Data governance, identity and AI security
Review who can access data, how it is used and which controls need to be in place before extending an AI workflow.
Topics and practical work
- What we cover
- Microsoft Purview Data Map and Unified Catalog, information protection and sensitivity labels, data loss prevention (DLP), retention and audit. Microsoft Entra ID, Conditional Access, least privilege and workload identities. AI data handling, grounded-source access, tool permissions and human approval boundaries.
- Who it suits
- Governance and security teams, administrators, architects and data owners; leadership and management teams reviewing responsibilities and risk.
- The practical work
- Map data ownership and access, review protection policies and test permitted and denied actions. A catalogue does not grant access to the source data. Purview controls vary by application and licence; security work does not itself establish regulatory compliance.
08
AI-assisted software development
Use coding assistants in a real repository while keeping requirements, tests and review in the developer’s hands.
Topics and practical work
- What we cover
- GitHub Copilot, Cursor, Claude Code and OpenAI Codex in repository-based development.
- Who it suits
- Developers, technical leads and application teams.
- The practical work
- Use VNode application work and demonstrations to examine debugging, refactoring, tests and code review. Suggestions still need to be checked against the requirement.
09
Learning design and mentoring
Shape the learning around the audience, prepare useful exercises and help people carry the work forward.
Topics and practical work
- What we cover
- Needs analysis, participant readiness, curriculum design, applied labs, assessments and mentoring.
- Who it suits
- Learning partners, managers, delivery teams and mixed technical/business cohorts.
- The practical work
- Prepare the labs, check what learners already know and adjust the exercises to the work they need to do next.
Forward Deployed Engineering (FDE)
Forward Deployed Engineering connects customer discovery with hands-on solution engineering. My training covers how to understand a workflow, agree a useful scope, work with data and integrations, evaluate the result and prepare a clear handover.
Explore FDE trainingDelivery formats
VirtualOn-siteHybridCorporate cohortsFocused workshopsBootcampsCertification-alignedCustom labs
03 / Engagement review
Evaluation and quality control
Before agreeing an engagement, I review the outcome, audience, subject depth and practical requirements. We use that conversation to agree the scope, delivery approach and responsibilities.
Scope review
Understand the business context, audience, intended outcome and boundaries.
Is the intended outcome clear enough to agree the scope?Capability match
Review the subject depth, audience level and delivery expertise required.
Does the expertise match the subject and audience?Delivery design
Agree the agenda or work plan, practical exercises, review points and oversight.
Will this delivery design support the agreed outcome?Onboarding readiness
Confirm dates, access, responsibilities, communication and escalation arrangements.
Are access, responsibilities and arrangements ready?Quality controls
- Check starting knowledge before agreeing the final agenda.
- Confirm lab access and platform permissions before delivery.
- Choose the trainer for the subject and audience, not just an open date.
- Keep founder-led oversight of content and delivery quality.
- Discuss any change of scope or trainer before it is offered.
- Bring in additional trainers only after scope, quality and supervision are agreed.
Information needed for evaluation
- Business context
- What the organisation needs to do and what is difficult today
- The people
- Leadership, management, business or technical audience; roles, starting knowledge and group size
- Dates and time zone
- Preferred window, daily timing, and scheduling constraints
- Delivery mode
- Virtual, on-site, hybrid, workshop, cohort, or bootcamp
- The outcome
- What participants should be able to do afterwards
- Practical setup
- Accounts, permissions, sample data and any security restrictions
Before we commit: you should know what is included, who is delivering it, what needs to be ready and how we will review the work.
04 / Credentials
Check the credentials for yourself.
Use the issuer links below to review credential details.
Trainer membership
Microsoft Certified Trainer
Microsoft · MCT
Microsoft Certified Trainer since 2012
View MCT certificateEarned badge
Frontier Transformation Engineer
Microsoft · TITAN
Verify on CredlyMicrosoft Credentials
Agentic AI Business Solutions Architect
Microsoft · AB-100
Verify on Microsoft LearnProfessional certification
Databricks Certified Generative AI Engineer Associate
Databricks · Generative AI
Verify on DatabricksMicrosoft Credentials
Developing AI Cloud Solutions on Azure
Microsoft · AI-200
Verify on Microsoft LearnProfessional certificationDatabricks Certified Data Engineer Professional
Databricks · Data Engineering
View credentialMicrosoft CredentialsMachine Learning Operations Engineer Associate
Microsoft · AI-300
View credentialMicrosoft CredentialsSQL AI Developer Associate
Microsoft · DP-800
View credentialProfessional certification
GitHub Copilot
GitHub · Copilot
View credentialView full credential records
Let’s discuss your requirement
Tell me what you need support with.
Share the subject or business requirement, the people involved, expected outcome, preferred dates and delivery format. We can then discuss the scope, preparation and responsibilities.Profile reviewed
