25 reviews

GitHub Agentic AI Developer (GH-600) Course

Item: GitHub Agentic AI Developer (GH-600) Course
Rating: 10
Author: Stephen Ridgway

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.

course: GitHub Agentic AI Developer (GH-600)

Duration: 1 day

Format: Virtual or Classroom

Prepares for Exam: Developing in Agentic AI Systems GH-600

Prepares for Certification: GitHub Certified: Agentic AI Developer

Attend this and 60+ other Microsoft courses for FREE with Unlimited Microsoft Training

Overview

Delegates 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.

This course includes

Instructor-led training
Personal Learning Path
Email, chat and phone support

Who is the course for?

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, and Coordinating multi-agent execution safely.

Curriculum

What you will learn during our course.

Foundations of Agentic AI in GitHub

Define agentic AI in the SDLC
Explain the agent lifecycle plan, act, evaluate
Describe GitHub as the system of record and control plane
Identify responsibilities, risks, antipatterns, and traceability needs
Apply the contributor model to agentgenerated work

Designing Agent Architecture and SDLC Integration

Map agent responsibilities to the SDLC
Define inputs, outputs, and success criteria
Separate planning, reasoning, and execution
Examples of implementing PR governance with templates, checks, CODEOWNERS, rules, and environment gates
Build reliable workflows outputs, contexts, triggers, and crossjob handoffs
Control and operate agents observability, tools, MCP, secrets, hooks, and reliability

Tooling, MCP, and Agent Execution Environments

How agents interact with GitHub APIs and workflows
Model Context Protocol (MCP) servers, registries, and allow lists
Execution context and boundaries
Agent execution limits and protections

Multi-Agent Systems and Orchestration

Define multiagent responsibilities in the SDLC
Orchestrate agents using GitHub workflows
Isolate execution branches, workflows, permissions, and concurrency
Detect and resolve conflicts using GitHubnative arbitration
Make the system observable attribution, evidence, and handoffs
Operate reliably at scale diagnose failures and recover safely

Memory, State, and Evaluation

Implement agent memory strategies
Persist agent state and manage context drift
Ensure continuity of agent memory and state across tools and environments
Define evaluation signals and enforce quality gates
Analyze agent failures and improve behavior

Governance, guardrails, and operations

Define riskbased autonomy and action boundaries
Enforce governance with GitHub controls
Design humanintheloop workflows
Control agent capabilities using least privilege
Make actions observable, traceable, and auditable
Maintain governance and operational reliability

Preparation

At Readynez, we provide many resources and have experienced experts in the field. That is why we are also very successful with many satisfied customers. You can therefore safely take your course with us. While there are no strict entry requirements, certain foundational knowledge may enhance your learning experience. Any recommended prerequisites specific to this course are detailed below.

A GitHub account
Basic understanding of AI fundamentals
Basic understanding of repositories, branches, and pull requests
General knowledge of CI and CD concepts

Meet our instructors

Meet some of the Readynez Instructors you can meet on your course. They are experts, passionate about what they do, and dedicated to give back to their industry, their field, and those who want to learn, explore, and advance in their careers.

Julian Sharp

Julian Sharp delivers high-quality, LIVE instructor-led training in Microsoft Dynamics 365 and Power Platform for professionals seeking real-world skills and certification readiness. With decades of industry experience and deep technical expertise, he helps learners master complex solutions efficiently.

Meet the Instructor: Julian Sharp
MCT | MVP | Solution Architect | Dynamics 365 & Power Platform Expert

With 20+ years of experience and over 16 years specializing in Dynamics CRM/365 and Power Platform, Julian has trained thousands of professionals and helped organizations solve real business challenges using Microsoft technologies.

A Microsoft Certified Trainer since 2007 and a Microsoft MVP, Julian brings a rare combination of deep technical knowledge and a practical, business-first mindset.

He’s not just an instructor - he’s a community leader, consultant, and solution architect trusted by enterprises across the globe.

Microsoft MVP – Business Applications 
Specialist in Dynamics 365, Power Platform & Azure 
Developer of Microsoft courseware
Speaker & mentor at Microsoft community events

Ready to build solutions with one of the best in the field?

Explore upcoming courses with Julian Sharp to get started.

Read Less

FAQ

FAQs for the GitHub Agentic AI Developer (GH-600) course.

Who should take the course?

This course is ideal for software developers, AI engineers, DevOps engineers, GitHub administrators, solution architects, and professionals who want to build, deploy, and manage AI agents within modern software development workflows.

Are there any prerequisites?

Participants should have a basic understanding of software development, GitHub repositories, GitHub Actions, and programming concepts. Familiarity with AI or GitHub Copilot is beneficial but not mandatory.

Is the training hands-on?

Absolutely. Learners work through practical labs involving GitHub repositories, AI agents, GitHub Copilot, GitHub Actions, agent workflows, and real-world development scenarios.

What topics are covered?

The course covers Agentic AI fundamentals, GitHub Copilot, GitHub Actions, Model Context Protocol (MCP), agent planning and memory, tool integration, multi-agent systems, security, governance, evaluation, and deployment best practices.

Is this course suitable for beginners?

The course is designed for learners with basic software development and GitHub knowledge. Complete beginners to programming may benefit from foundational GitHub and development training before enrolling.

How long is the course?

The duration may vary depending on the training provider. It can be delivered as an intensive one-day workshop or expanded into a multi-day hands-on program with additional labs and certification preparation.

What skills will I gain after completing this course?

You'll be able to design agentic AI systems, automate development workflows, build AI-powered GitHub solutions, implement secure agent architectures, integrate MCP and GitHub Actions, and confidently prepare for the GH-600 certification.

Reviews

Feedback from our delegates.

Johan Andersson

Easy to attend over Teams and an excellent instructor gave me great value for the time I invested.

Stephen Ridgway

Readynez is the best training provider I've used for many years. Their customer service is first class, prices are very competitive and instruction excellent.