“The Microsoft Fabric implementation program gave our data engineering team a structured path from legacy pipelines to a modern lakehouse architecture.”
Enterprise Program Brief
Software Delivery and DevOps Foundations
Deliver a small service through repeatable tests, deployment and rollback. Proposed instructor-led duration; delivery subject to environment and lab validation.
Program Snapshot
Engagement scoped to cohort
- MCT-led delivery
- Private cohort / virtual ILT
- Typical response: 1 business day
VNode ITeS delivers Software Delivery and DevOps Foundations as an MCT-led VNode ITeS program for Developers entering AI delivery. 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
Developers entering AI delivery
- Tailored Team Delivery
Overview
Executive overview
Deliver a small service through repeatable tests, deployment and rollback.
Environment and licensing
Git repository and test application Code editor and supported runtime CI runner and approved test deployment target For O04: licensed coding-agent access, approved model usage and a local mock MCP/API tool Delivery depends on environment and lab validation. This outline does not include step-by-step lab instructions.
Prerequisites
- Can build, debug and test a small application
Program Outcomes
Capabilities your teams will gain
- Release a versioned application through the pipeline
- Block a failing candidate and verify a working rollback
- Protect pipeline identity, secrets and deployment scope
- Provide artifact traceability and an incident recovery runbook
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.
- Maintainable application structure
- Testing and collaborative delivery
- Build and deployment pipelines
- Release and recovery exercise
1Module 1 · 8 hours
Maintainable application structure
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Module 1 · 8 hours
Maintainable application structure
Refactor a supplied service into a testable application structure.
Modules and interfaces
- Separate business logic from transport and infrastructure
- Define small testable interfaces
Configuration
- Load configuration per environment
- Distinguish secrets from ordinary settings
Dependency management
- Lock dependencies and document runtime requirements
- Identify vulnerable or unnecessary dependencies
Local development
- Run the service locally with health checks
- Provide a repeatable development setup
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: Maintainable application structure
Refactor a supplied service into a testable application structure.
Expected output. Maintainable application skeleton
Acceptance. A clean setup can start the service and run its basic checks.
2Module 2 · 8 hours
Testing and collaborative delivery
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Module 2 · 8 hours
Testing and collaborative delivery
Add tests and resolve a reviewed change without bypassing checks.
Unit and integration tests
- Separate unit and integration test responsibilities
- Use controlled fixtures and mocks
Mocks
- Define branch and review conventions
- Keep commits focused and attributable
Branches
- Review changes against acceptance criteria
- Inspect generated as well as handwritten code
Pull-request review
- Resolve a controlled merge conflict
- Protect unrelated work during changes
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: Testing and collaborative delivery
Add tests and resolve a reviewed change without bypassing checks.
Expected output. Tested pull request
Acceptance. The reviewed change passes independent tests and retains unrelated functionality.
3Module 3 · 8 hours
Build and deployment pipelines
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Module 3 · 8 hours
Build and deployment pipelines
Build a pipeline that tests and packages the service with controlled deployment.
CI checks
- Run tests and quality checks on each proposed change
- Use a build artifact rather than rebuilding unpredictably
Artifacts
- Parameterise environment-specific deployment settings
- Grant narrow pipeline identity permissions
Environment configuration
- Keep secrets in the approved runner/deployment store
- Prevent credentials appearing in logs
Secrets and permissions
- Separate deployment from release approval
- Record the artifact version actually deployed
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: Build and deployment pipelines
Build a pipeline that tests and packages the service with controlled deployment.
Expected output. CI/CD pipeline evidence
Acceptance. A failing check blocks deployment and a passing artifact is traceable to source.
4Module 4 · 8 hours
Release and recovery exercise
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Module 4 · 8 hours
Release and recovery exercise
Release a version, diagnose a defect and restore the previous working release.
Health checks
- Define health and smoke checks after release
- Capture error and latency evidence
Logs
- Compare deployed version to the approved artifact
- Record configuration and dependency changes
Versioning
- Choose rollback versus forward fix deliberately
- Restore compatible configuration and data assumptions
Rollback and ownership
- Document owner, escalation and recovery verification
- Summarise the incident without unsupported causal claims
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: Release and recovery exercise
Release a version, diagnose a defect and restore the previous working release.
Expected output. Assessed release and rollback runbook
Acceptance. The previous working release is restored and its health checks pass.
Capstone
Release a version, diagnose a defect and restore the previous working release. Assessed release and rollback runbook Evidence of relevant access, quality and risk controls Demonstration and limitations record
Assessment
Scenario-based practical assessment Release a versioned application through the pipeline 30% Block a failing candidate and verify a working rollback 25% Protect pipeline identity, secrets and deployment scope 25% Provide artifact traceability and an incident recovery runbook 20% Proposed VNode outline-level assessment; no vendor accreditation or completed lab validation implied.
Participant deliverables
- Assessed release and rollback runbook
- 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
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: Deliver a small service through repeatable tests, deployment and rollback.
- 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
