“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 DevSecOps Engineering
AIC-320 extends AI coding into CI/CD, policy-as-code, secret scanning response, and secure change automation. Participants design agent-assisted DevSecOps flows that preserve auditability and human approval for production risk. VNode enterprise academy content with VNode completion recognition only.
Duration
16 hours
Level
Intermediate
Format
Virtual, On-site, or Hybrid
Language
English
Executive brief for stakeholdersDownload Program Brief (PDF)
Enterprise Track
Microsoft
DevSecOpsIT
Agentic DevSecOps Engineering
Agentic DevSecOps
AI Coding
On this page
Ideal for
DevOps Engineer, Security Engineer, Platform EngineerDevSecOpsTailored Team DeliveryImplementation-Focused
Audience Profile
Built for these roles
DevOps and platform engineers AppSec and DevSecOps practitioners SREs collaborating on release automation
Overview
Executive overview
Enterprise academy module for embedding AI coding agents into DevSecOps pipelines with secure automation, review, and release controls.
Readiness
Prerequisites
- Working knowledge of CI/CD and application security basics
- AIC-220 recommended for governance context
Program Outcomes
Capabilities your teams will gain
Design agent-assisted CI/CD workflows with human gates
Use agents for secure finding triage without auto-merging risk
Instrument audit evidence for agent-touched pipelines
Produce an Agentic DevSecOps runbook for a pilot pipeline
Curriculum
Curriculum roadmap
1
DevSecOps threat model for coding agents
2
Pipeline integration patterns
3
Secure automation labs
4
Runbook and evidence pack capstone
1Module 1
DevSecOps threat model for coding agents
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Module 1
DevSecOps threat model for coding agents
VNode-designed module covering devsecops threat model for coding agents for enterprise AI coding adoption.
- Agent touchpoints in CI/CD and release
- Secure automation and approval gates
2Module 2
Pipeline integration patterns
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Module 2
Pipeline integration patterns
VNode-designed module covering pipeline integration patterns for enterprise AI coding adoption.
- Policy-as-code and finding triage with agents
- Audit trails for agent-assisted changes
3Module 3
Secure automation labs
+
Module 3
Secure automation labs
VNode-designed module covering secure automation labs for enterprise AI coding adoption.
- Secure automation labs
4Module 4
Runbook and evidence pack capstone
+
Module 4
Runbook and evidence pack capstone
VNode-designed module covering runbook and evidence pack capstone for enterprise AI coding adoption.
- VNode-designed module covering runbook
- evidence pack capstone 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: Connects AI coding productivity to secure delivery pipelines so DevSecOps keeps pace with agent-accelerated change volume.
- •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