Program Outline
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.
Certification
GitHub Certified: Agentic AI Developer (beta)
Delivery
Virtual, On-site, or Hybrid
Duration
Exam: 100 minutes
Product
GitHub
Role
AI Engineer, Maker, Data Engineer, Developer, DevOps Engineer, Solution Architect
Microsoft
App Development, Artificial IntelligenceGitHub Agentic AI Developer (beta)
Github
Best Fit
Audience Profile
Who This Program Is For
Built for Ai Engineer, Maker, Data Engineer, Developer, Devops Engineer, Solution Architect learners preparing for GitHub Agentic AI Developer (beta).
Overview
Program Summary
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.
Course Outline
Complete Module Sequence
Review the full module sequence for this program, including the primary topic coverage in each module where available.
1Module 1
Domain 1: Prepare agent architecture and SDLC processes (15-20%)
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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%)
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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%)
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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%)
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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%)
Coverage Areas
Topic Coverage
Coverage Item 1
Domain 1: Prepare agent architecture and SDLC processes (15-20%)
Coverage Item 2
Domain 2: Implement Tool Use and Environment Interaction (20-25%)
Coverage Item 3
Domain 3: Manage Memory, State, and Execution (10-15%)
Coverage Item 4
Domain 4: Perform Evaluation, Error Analysis, and Tuning (15-20%)
Coverage Item 5
Domain 5: Orchestrate Multi-Agent Coordination (15-20%)
Coverage Item 6
Domain 6: Implement Guardrails and Accountability (10-15%)
Customization
Adapt This Program for Your Team
We can adapt this program around your team structure, platform priorities, delivery goals, and the scenarios your people need to work through in practice.
- •Align labs to your Microsoft tenant and workload scenarios
- •Add readiness checks and exam preparation reviews
- •Extend delivery with role-specific implementation workshops
