“The Microsoft Fabric implementation program gave our data engineering team a structured path from legacy pipelines to a modern lakehouse architecture.”
Enterprise Program Brief
Power Platform and Dataverse Foundations
Build a secure request-tracking data model and automated workflow. Proposed instructor-led duration; delivery subject to environment and lab validation.
VNode ITeSFoundation
Download Program Brief (PDF)Program Snapshot
Engagement scoped to cohort
Duration32 hours
FormatPrivate cohort
LevelFoundation
Course CodeF04
- MCT-led delivery
- Private cohort / virtual ILT
- Typical response: 1 business day
Scoping call typically scheduled within one business day
VNode ITeS delivers Power Platform and Dataverse Foundations as an MCT-led VNode ITeS program for Application builders, Functional consultants. Typical duration is 32 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
Application builders, Functional consultants
- Tailored Team Delivery
Overview
Executive overview
Build a secure request-tracking data model and automated workflow.
Environment and licensing
Isolated Power Platform environment with Dataverse Copilot Studio entitlement and consumption allowance where agents are used Maker access; delegated administrator for policy labs Two or more test personas and approved publishing channel Delivery depends on environment and lab validation. This outline does not include step-by-step lab instructions.
Prerequisites
- Basic application and data concepts
Program Outcomes
Capabilities your teams will gain
- Implement the request data model and approval process
- Demonstrate approve, reject, failure and duplicate-handling cases
- Prove submitter and approver access boundaries
- Package the solution with environment values and support ownership
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.
- Environment and solution foundations
- Dataverse modelling and security
- Automation and integration
- Application integration and ALM
1Module 1 · 8 hours
Environment and solution foundations
+
Module 1 · 8 hours
Environment and solution foundations
Create a solution and map development, test and production responsibilities.
Tenants and environments
- Distinguish tenant, environment and capacity responsibilities
- Choose an isolated development environment
Developer versus production
- Compare developer, sandbox and production uses
- Identify maker and administrator responsibilities
Solutions and publishers
- Create a publisher and solution boundary
- Understand managed versus unmanaged deployment concepts
Connection references
- Use connection references and environment variables conceptually
- Plan dependencies between application components
Concept and design 4h · applied exercise 3h · review 1h. Included within module duration; no extra hours. Refine during delivery planning without silently changing published course hours.
Applied exercise: Environment and solution foundations
Create a solution and map development, test and production responsibilities.
Expected output. Environment and solution design
Acceptance. Produce an environment and solution map with named owners and dependencies.
2Module 2 · 8 hours
Dataverse modelling and security
+
Module 2 · 8 hours
Dataverse modelling and security
Model service requests and test access using separate personas.
Tables and relationships
- Choose tables, columns, types and relationships
- Define request status and validation rules
Choices and validation
- Use choices and keys to reduce inconsistent records
- Separate reference data from transactional data
Security roles
- Design security roles around required tasks
- Distinguish table privileges from record ownership
Ownership and access
- Compare user-owned and organisation-owned access patterns
- Test submitter, approver and administrator personas
Concept and design 4h · applied exercise 3h · review 1h. Included within module duration; no extra hours. Refine during delivery planning without silently changing published course hours.
Applied exercise: Dataverse modelling and security
Model service requests and test access using separate personas.
Expected output. Data model and persona access tests
Acceptance. The data model supports the workflow and denies access to unrelated records as designed.
3Module 3 · 8 hours
Automation and integration
+
Module 3 · 8 hours
Automation and integration
Build an approval flow with validation and failure handling.
Cloud flows
- Select event triggers and filter conditions
- Prevent unbounded duplicate flow execution
Triggers and actions
- Map data between flow actions
- Use expressions and basic Power Fx appropriately
Approvals
- Represent approval, rejection and timeout outcomes
- Handle invalid inputs before state-changing actions
Connector policy concepts and Power Fx introduction
- Explain connector grouping and policy boundaries
- Inspect flow failures and actionable error messages
Concept and design 4h · applied exercise 3h · review 1h. Included within module duration; no extra hours. Refine during delivery planning without silently changing published course hours.
Applied exercise: Automation and integration
Build an approval flow with validation and failure handling.
Expected output. Tested request approval workflow
Acceptance. The flow handles approve, reject and failure cases without duplicating requests.
4Module 4 · 8 hours
Application integration and ALM
+
Module 4 · 8 hours
Application integration and ALM
Move the solution to a test environment and demonstrate the controlled request lifecycle.
App integration patterns
- Connect the data model to a simple application experience
- Map user actions to flow and data operations
Environment variables
- Externalise environment-specific values
- Review connections and identity ownership before import
Import/export
- Package dependencies in a solution
- Compare deployment validation with business acceptance
Support documentation
- Document the support owner and recovery actions
- Demonstrate end-to-end request tracking after deployment
Concept and design 2h · applied exercise 4h · review 2h. Included within module duration; no extra hours. Refine during delivery planning without silently changing published course hours.
Capstone: Application integration and ALM
Move the solution to a test environment and demonstrate the controlled request lifecycle.
Expected output. Assessed deployable request-tracking solution
Acceptance. The imported solution completes the workflow with expected persona permissions.
Capstone
Move the solution to a test environment and demonstrate the controlled request lifecycle. Assessed deployable request-tracking solution Evidence of relevant access, quality and risk controls Demonstration and limitations record
Assessment
Scenario-based practical assessment Implement the request data model and approval process 30% Demonstrate approve, reject, failure and duplicate-handling cases 25% Prove submitter and approver access boundaries 25% Package the solution with environment values and support ownership 20% Proposed VNode outline-level assessment; no vendor accreditation or completed lab validation implied.
Participant deliverables
- Assessed deployable request-tracking solution
- 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
- Foundation practitioner depth
- Business outcome alignment
Enterprise Customization
Enterprise customization
Tailor this program to your organization's priorities: Build a secure request-tracking data model and automated workflow.
- 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
“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
