VNode ITeSBook

Enterprise Program Brief

Forward Deployed Delivery Practicum

Deliver a bounded customer engagement using an existing platform project, not a greenfield build from scratch. Proposed instructor-led duration; delivery subject to environment and lab validation.

VNode ITeSPractitioner / specialist
Download Program Brief (PDF)

Program Snapshot

Engagement scoped to cohort

Duration24 hours
FormatPrivate cohort
LevelPractitioner / specialist
Course CodeE04
  • MCT-led delivery
  • Private cohort / virtual ILT
  • Typical response: 1 business day
Scoping call typically scheduled within one business day

VNode ITeS delivers Forward Deployed Delivery Practicum as an MCT-led VNode ITeS program for Engineers, Customer-facing consultants, Solution engineers. Typical duration is 24 hours (Private cohort). Delivery stays scoped to how your teams will actually use the platform after the room empties. Private cohorts can shift emphasis by role mix, workspace or repo constraints, and rollout timing.

Audience Profile

Built for these roles

Engineers, Customer-facing consultants, Solution engineers

  • Tailored Team Delivery

Overview

Executive overview

Deliver a bounded customer engagement using an existing platform project, not a greenfield build from scratch.

Environment and licensing

Spreadsheet or document editor Synthetic scenario pack Approved AI interface only where used; paper-based comparison available Delivery depends on environment and lab validation. This outline does not include step-by-step lab instructions.

Prerequisites

  • Completed relevant engineering programme or equivalent
  • An existing working project is required

Program Outcomes

Capabilities your teams will gain

  • Adapt an existing solution to an agreed customer scope
  • Demonstrate measurable acceptance and a handled scope change
  • Assign customer, delivery, risk and operating responsibilities
  • Present an explicit acceptance decision and actionable handover

Enterprise Delivery

Private cohort delivery

VNode-designed, vendor-aligned instructor-led program. Scope role mix, delivery format, and rollout goals for your cohort.

Curriculum

Curriculum roadmap

Proposed instructor-led duration; delivery subject to environment and lab validation.

  • Customer discovery and qualification
  • Scope and delivery design
  • Delivery under changing constraints
  • Customer acceptance and handover
1

Module 1 · 6 hours

Customer discovery and qualification

+

Interview simulated stakeholders and qualify a constrained opportunity.

Sponsor and users

  • Identify sponsor, end users and operational owner
  • Ask for evidence of the current workflow

Workflow baseline

  • Measure baseline effort and exception frequency
  • Distinguish stated solution from actual problem

Value hypothesis

  • Assess business value against feasible change
  • Compare a non-AI alternative

Data and access readiness

  • Check data, permissions and integration readiness
  • Define reasons to defer or narrow the engagement

Concept and design 3h · applied exercise 2.25h · review 0.75h. Included within module duration; no extra hours. Refine during delivery planning without silently changing published course hours.

Applied exercise: Customer discovery and qualification

Interview simulated stakeholders and qualify a constrained opportunity.

Expected output. Customer discovery and qualification brief

Acceptance. The discovery brief supports a bounded, measurable opportunity with named owners.

2

Module 2 · 6 hours

Scope and delivery design

+

Negotiate scope and a staged delivery plan for the existing project.

Acceptance contract

  • Negotiate in-scope users, data and actions
  • Record explicit exclusions and dependencies

Architecture decisions

  • Adapt the existing project architecture
  • Identify decisions requiring customer approval

Dependencies

  • Define milestones and acceptance evidence
  • Assign customer and delivery responsibilities

Delivery and operating responsibilities

  • Choose operating and handover ownership
  • Record access and support assumptions

Concept and design 3h · applied exercise 2.25h · review 0.75h. Included within module duration; no extra hours. Refine during delivery planning without silently changing published course hours.

Applied exercise: Scope and delivery design

Negotiate scope and a staged delivery plan for the existing project.

Expected output. Agreed scope and implementation plan

Acceptance. The delivery plan is accepted against a clear scope and testable completion criteria.

3

Module 3 · 6 hours

Delivery under changing constraints

+

Adapt the existing implementation to a scope change and explain trade-offs.

Stakeholder feedback

  • Review stakeholder feedback against the scope baseline
  • Separate defects from new requirements

Change control

  • Assess time, risk and value of a proposed change
  • Document an accepted or deferred decision

Risk escalation

  • Escalate unavailable data or permissions early
  • Offer a practical reduced-scope alternative

Evidence-led iteration

  • Iterate the existing implementation
  • Record before/after results and outstanding risks

Concept and design 3h · applied exercise 2.25h · review 0.75h. Included within module duration; no extra hours. Refine during delivery planning without silently changing published course hours.

Applied exercise: Delivery under changing constraints

Adapt the existing implementation to a scope change and explain trade-offs.

Expected output. Iteration and change-decision record

Acceptance. A scope change produces a justified decision and demonstrable bounded solution adjustment.

4

Module 4 · 6 hours

Customer acceptance and handover

+

Conduct an acceptance review and hand over the bounded solution with unresolved risks recorded.

Demonstration

  • Present the customer workflow and measured result
  • Distinguish demonstrated capability from future work

Quality and access evidence

  • Show quality and access evidence
  • Record unresolved acceptance exceptions

Runbook

  • Hand over support, recovery and change ownership
  • Define the next operating review

Ownership and next steps

  • Recommend stop, improve or expand
  • Link next steps to evidence rather than enthusiasm

Concept and design 1.5h · applied exercise 3h · review 1.5h. Included within module duration; no extra hours. Refine during delivery planning without silently changing published course hours.

Capstone: Customer acceptance and handover

Conduct an acceptance review and hand over the bounded solution with unresolved risks recorded.

Expected output. Assessed customer delivery dossier

Acceptance. The customer dossier supports an explicit acceptance decision and accountable handover.

Practicum editions

One 24-hour practicum. A cohort selects one platform edition. Editions are alternatives and do not add hours or create extra courses.

Copilot Studio

Employee service request. Adapt the agent, controlled action and authenticated publishing design

Engineering prerequisite: Copilot Studio Agent Engineering

  • Source-grounded answer tests
  • Confirmation and request-action evidence
  • Power Platform policy and data-access checks

Selected edition uses the same 24-hour practicum; editions are alternatives, not additive stages.

Microsoft Foundry

Enterprise knowledge and request assistant. Adapt retrieval, bounded tools and deployment decisions

Engineering prerequisite: Applied AI Engineering with Microsoft Foundry

  • Retrieval and task-evaluation comparison
  • Scoped API and approval tests
  • Trace and operational handover evidence

Selected edition uses the same 24-hour practicum; editions are alternatives, not additive stages.

Microsoft Fabric

Service operations data product. Adapt analytical metrics, ingestion contract and conversational analytics

Engineering prerequisite: Microsoft Fabric Data and AI Solution Engineering

  • Source-to-metric reconciliation
  • Persona and data-agent answer checks
  • Refresh failure and recovery evidence

Selected edition uses the same 24-hour practicum; editions are alternatives, not additive stages.

Azure Databricks

Governed operational lakehouse. Adapt pipeline, analytical serving and bounded AI consumption

Engineering prerequisite: Databricks Data and AI Solution Engineering

  • Incremental and quality evidence
  • Catalog/runtime access checks
  • Read-only query and operational evidence

Selected edition uses the same 24-hour practicum; editions are alternatives, not additive stages.

Capstone

Conduct an acceptance review and hand over the bounded solution with unresolved risks recorded. Assessed customer delivery dossier Evidence of relevant access, quality and risk controls Demonstration and limitations record

Assessment

Scenario-based practical assessment Adapt an existing solution to an agreed customer scope 30% Demonstrate measurable acceptance and a handled scope change 25% Assign customer, delivery, risk and operating responsibilities 25% Present an explicit acceptance decision and actionable handover 20% Proposed VNode outline-level assessment; no vendor accreditation or completed lab validation implied.

Participant deliverables

  • Assessed customer delivery dossier
  • Evidence of relevant access, quality and risk controls
  • Demonstration and limitations record

Scope boundaries

Step-by-step lab instructions; Runnable solution code; Packaged source datasets; Executed environment validation

Delivery options

Count teaching hours, not calendar days. Exclude breaks. Split into 4-hour or 8-hour teaching sessions; schedule complex project work in contiguous blocks.

Delivery Models

Delivery models

Virtual ILTOnsiteHybridExecutive WorkshopBootcampWeekend

Engagement Fit

Engagement fit

  • Private cohort delivery
  • Practitioner / specialist practitioner depth
  • Business outcome alignment

Enterprise Customization

Enterprise customization

Tailor this program to your organization's priorities: Deliver a bounded customer engagement using an existing platform project, not a greenfield build from scratch.

  • Private cohort scheduling
  • Equivalent-experience entry review

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

“The Microsoft Fabric implementation program gave our data engineering team a structured path from legacy pipelines to a modern lakehouse architecture.”

Head of Data Engineering

Global Financial Services Firm

Financial Services
“We needed a partner who understood both the technical depth of Azure OpenAI and the governance requirements of an enterprise.”

VP of Technology

Large Healthcare Organization

Healthcare

Delivery Capability

Enterprise-grade instruction

View delivery capability profile

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

Kriya AI