“The GitHub Copilot enablement workshop transformed how our developers approach productivity with immediately practical patterns.”
Enterprise Program Brief
Role-Based Certification PrepTrack: GitHub Certified: Agentic AI Developer (beta)
MicrosoftIntermediate
GitHub Agentic AI Developer (beta)
You should have subject matter expertise in operating, integrating, supervising, and governing AI agents inside production-grade SDLC workflows and development environments, ensuring reliability, safety, and velocity using GitHub as the system of record and control plane.
Duration
Exam: 100 minutes
Level
Intermediate
Format
Virtual, On-site, or Hybrid
Language
English
Executive brief for stakeholdersDownload Program Brief (PDF)
Microsoft
App Development, Artificial IntelligenceIT
GitHub Agentic AI Developer (beta)
Github
Software Dev
On this page
Ideal for
AI Engineer, Maker, Data Engineer, Developer, DevOps Engineer, Solution ArchitectApp Development, Artificial IntelligenceCertification ReadinessTailored Team Delivery
Audience Profile
Built for these roles
Built for Ai Engineer, Maker, Data Engineer, Developer, Devops Engineer, Solution Architect learners preparing for GitHub Agentic AI Developer (beta).
Overview
Executive overview
You should have subject matter expertise in operating, integrating, supervising, and governing AI agents inside production-grade SDLC workflows and development environments, ensuring reliability, safety, and velocity using GitHub as the system of record and control plane.
Program Outcomes
Capabilities your teams will gain
Domain 1: Prepare agent architecture and SDLC processes (15-20%)
Domain 2: Implement Tool Use and Environment Interaction (20-25%)
Domain 3: Manage Memory, State, and Execution (10-15%)
Domain 4: Perform Evaluation, Error Analysis, and Tuning (15-20%)
Curriculum
Curriculum roadmap
1
Domain 1: Prepare agent architecture and SDLC processes (15-20%)
2
Domain 2: Implement Tool Use and Environment Interaction (20-25%)
3
Domain 3: Manage Memory, State, and Execution (10-15%)
4
Domain 4: Perform Evaluation, Error Analysis, and Tuning (15-20%)
5
Domain 5: Orchestrate Multi-Agent Coordination (15-20%)
6
Domain 6: Implement Guardrails and Accountability (10-15%)
1Module 1
Domain 1: Prepare agent architecture and SDLC processes (15-20%)
+
Module 1
Domain 1: Prepare agent architecture and SDLC processes (15-20%)
Official Microsoft Learn measured skill area for GitHub Agentic AI Developer (beta).
- Domain 1: Prepare agent architecture and SDLC processes (15-20%)
- Domain 2: Implement Tool Use and Environment Interaction (20-25%)
2Module 2
Domain 2: Implement Tool Use and Environment Interaction (20-25%)
+
Module 2
Domain 2: Implement Tool Use and Environment Interaction (20-25%)
Official Microsoft Learn measured skill area for GitHub Agentic AI Developer (beta).
- Domain 3: Manage Memory, State, and Execution (10-15%)
- Domain 4: Perform Evaluation, Error Analysis, and Tuning (15-20%)
3Module 3
Domain 3: Manage Memory, State, and Execution (10-15%)
+
Module 3
Domain 3: Manage Memory, State, and Execution (10-15%)
Official Microsoft Learn measured skill area for GitHub Agentic AI Developer (beta).
- Domain 5: Orchestrate Multi-Agent Coordination (15-20%)
- Domain 6: Implement Guardrails and Accountability (10-15%)
4Module 4
Domain 4: Perform Evaluation, Error Analysis, and Tuning (15-20%)
+
Module 4
Domain 4: Perform Evaluation, Error Analysis, and Tuning (15-20%)
Official Microsoft Learn measured skill area for GitHub Agentic AI Developer (beta).
- Domain 4: Perform Evaluation, Error Analysis, and Tuning (15-20%)
5Module 5
Domain 5: Orchestrate Multi-Agent Coordination (15-20%)
+
Module 5
Domain 5: Orchestrate Multi-Agent Coordination (15-20%)
Official Microsoft Learn measured skill area for GitHub Agentic AI Developer (beta).
- Domain 5: Orchestrate Multi-Agent Coordination (15-20%)
6Module 6
Domain 6: Implement Guardrails and Accountability (10-15%)
+
Module 6
Domain 6: Implement Guardrails and Accountability (10-15%)
Official Microsoft Learn measured skill area for GitHub Agentic AI Developer (beta).
- Domain 6: Implement Guardrails and Accountability (10-15%)
Delivery Models
Delivery models
Virtual ILTOnsiteHybridExecutive WorkshopBootcampWeekend
Engagement Fit
Engagement fit
Certification readinessImplementation-focused labsPrivate cohort deliveryIntermediate practitioner depth
Enterprise Customization
Enterprise customization
Tailor this program to your organization's priorities: Builds current Microsoft credential readiness for GitHub Agentic AI Developer (beta) using the official Microsoft Learn skill outline.
- •Align labs to your Microsoft tenant and workload scenarios
- •Add readiness checks and exam preparation reviews
- •Extend delivery with role-specific implementation workshops
Credentials
Certification & official source
- •GitHub Certified: Agentic AI Developer (beta)
Aligned to the official source referenced for this program.
View Official SourceResources
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
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
