“The Microsoft Fabric implementation program gave our data engineering team a structured path from legacy pipelines to a modern lakehouse architecture.”
Enterprise Program Brief
VNode ITeSIntermediate
Agentic Software Development Lifecycle Practitioner
This practitioner program embeds coding agents into backlog refinement, design notes, implementation, code review, test authoring, and release checklists. Teams leave with an agentic SDLC playbook tailored to their delivery cadence. VNode-designed content; not a vendor certification course.
Duration
16 hours
Level
Intermediate
Format
Virtual, On-site, or Hybrid
Language
English
Executive brief for stakeholdersDownload Program Brief (PDF)
Enterprise Track
Microsoft
Agentic SDLCIT
Agentic Software Development Lifecycle Practitioner
Agentic SDLC
AI Coding
On this page
Ideal for
Software Engineer, Tech Lead, Scrum Master partnerAgentic SDLCTailored Team DeliveryImplementation-Focused
Audience Profile
Built for these roles
Delivery teams adopting AI coding at scale Tech leads owning definition of done QA and DevOps partners in the same value stream
Overview
Executive overview
Apply AI coding agents across the full software development lifecycle — planning, implementation, review, testing, and release readiness.
Readiness
Prerequisites
- Solid Git-based team delivery experience
- AIC-110 recommended
Program Outcomes
Capabilities your teams will gain
Map coding-agent touchpoints across the SDLC
Define human gates for design, merge, and release
Produce an agentic SDLC playbook for a pilot squad
Measure cycle-time and quality impact of agent usage
Curriculum
Curriculum roadmap
1
SDLC map for agentic engineering
2
Plan and design with agents
3
Build, review, and test with agents
4
Release gates and continuous improvement
1Module 1
SDLC map for agentic engineering
+
Module 1
SDLC map for agentic engineering
VNode-designed module covering sdlc map for agentic engineering for enterprise AI coding adoption.
- Agentic backlog and design assistance
- Implementation workflows with verification gates
2Module 2
Plan and design with agents
+
Module 2
Plan and design with agents
VNode-designed module covering plan and design with agents for enterprise AI coding adoption.
- VNode-designed module covering plan
- design with agents for enterprise AI coding adoption
3Module 3
Build, review, and test with agents
+
Module 3
Build, review, and test with agents
VNode-designed module covering build, review, and test with agents for enterprise AI coding adoption.
- VNode-designed module covering build
- and test with agents for enterprise AI coding adoption
4Module 4
Release gates and continuous improvement
+
Module 4
Release gates and continuous improvement
VNode-designed module covering release gates and continuous improvement for enterprise AI coding adoption.
- VNode-designed module covering release gates
- continuous improvement for enterprise AI coding adoption
Delivery Models
Delivery models
Virtual ILTOnsiteHybridExecutive WorkshopBootcampWeekend
Engagement Fit
Engagement fit
Implementation-focused labsPrivate cohort deliveryIntermediate practitioner depthBusiness outcome alignment
Enterprise Customization
Enterprise customization
Tailor this program to your organization's priorities: Turns ad-hoc AI coding use into a repeatable SDLC practice that improves cycle time while preserving quality gates.
- •Map labs to your repositories, languages, and delivery toolchain
- •Emphasize Copilot, Cursor, Claude Code, Codex, or a multi-tool mix
- •Add security, governance, or champion-enablement modules for enterprise rollout
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