“We needed a partner who understood both the technical depth of Azure OpenAI and the governance requirements of an enterprise.”
Microsoft Official Curriculum
Role-Based Certification PrepTrack: GH-600T00Official Source: Microsoft Learn
MicrosoftIntermediate
Developing in Agentic AI Systems
Important **This course will be available on 7/31/2026. This course is designed to build practical skills in developing, deploying, and managing agentic AI systems within GitHub-based software development workflows. The course explores how to integrate AI agents into the software development lifecycle (SDLC), including designing agent architectures, configuring tools and environments, and managing agent memory, state, and execution. Students will learn how to evaluate and optimize agent performance, implement governance and guardrails, and coordinate multi-agent systems to ensure safe, reliable, and efficient outcomes. Through hands-on learning, participants will gain the skills needed to operate, supervise, and govern AI agents in production environments using GitHub as the control plane.
Duration
1 day
Level
Intermediate
Format
Virtual, On-site, or Hybrid
Language
English
Executive brief for stakeholdersDownload Program Brief (PDF)
Microsoft
AIIT
Developing in Agentic AI Systems
GitHub
AI
On this page
Ideal for
AI EngineerAICertification ReadinessTailored Team Delivery
Audience Profile
Built for these roles
Learners 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. Learners work closely with architects, platform engineers, DevOps engineers, application developers, product managers, and security engineers to develop, deploy, operate, and manage agents that operate within the GitHub platform. Learners should have experience with the software development lifecycle (SDLC), workflows in GitHub and controls, and code quality, security, and review practices. You should also have experience with coding agents including GitHub Copilot, MCP servers and agent customization such as custom instructions, custom agents, tools, and Copilot setup Responsibilities for this role include: - Operating agent workflows inside the SDLC - Supervising autonomous behavior with GitHub controls - Evaluating and tuning agent outputs using scans and artifacts - Configuring custom agents - Coordinating multi-agent execution safely
Overview
Executive overview
Official Microsoft Learn-aligned instructor-led program for Developing in Agentic AI Systems.
Readiness
Prerequisites
- Relevant foundational experience in the target technology area.
- Comfort with hands-on labs in a cloud or GPU-accelerated environment.
Program Outcomes
Capabilities your teams will gain
Strengthen capability in ai scenarios
Strengthen capability in github scenarios
Strengthen capability in role-based scenarios
Curriculum
Curriculum roadmap
1
AI
2
GitHub
3
Role-Based
1Module 1
Developing in Agentic AI Systems Part 1 of 2
+
Module 1
Developing in Agentic AI Systems Part 1 of 2
Learn how to design, deploy, and manage agentic AI systems within the software development lifecycle by integrating, orchestrating, and governing autonomous agents using GitHub to ensure safe, reliable, and scalable delivery.
- Foundations of Agentic AI in GitHub
- Designing Agent Architecture and SDLC Integration
- Tooling, MCP, and Agent Execution Environments
2Module 2
Developing in agentic AI systems part 2 of 2
+
Module 2
Developing in agentic AI systems part 2 of 2
This is part two of two part learning series to support our new certification, Developing in Agentic AI Systems. In this learning path you will learn how to design, deploy, and manage agentic AI systems within the software development lifecycle by integrating, orchestrating, and governing autonomous agents using GitHub to ensure safe, reliable, and scalable delivery.
- Multi-Agent Systems and Orchestration
- Memory, State, and Evaluation
- Governance, guardrails, and operations
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 Developing in Agentic AI Systems using the official Microsoft Learn outline.
- •Align labs to your production environment and platform priorities
- •Add readiness reviews and instructor-led practice sessions
- •Extend into project-specific architecture or delivery coaching
Credentials
Certification & official source
- •GH-600T00
Aligned to the official Microsoft Learn course and learning path for this program.
View Official Microsoft Learn PageResources
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
“The GitHub Copilot enablement workshop transformed how our developers approach productivity with immediately practical patterns.”
Retail & E-commerce
Representative Retail Analytics Team
Instead of treating reporting as a tooling issue alone, the work focused on consistency, governance, and shared delivery practices across analysts and engineering teams.
- Higher consistency in report design practices
- Improved collaboration between analysts and engineering teams
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