Description
Duration: 1 day
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.
Target Audience
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.
Prerequisites
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 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
Certification Exam
This course prepares you for the GH-600 certification exam (GitHub Certified: Agentic AI Developer). An exam voucher can be added at registration.
What’s included?
- Authorized Courseware
- Intensive Hands on Skills Development with an Experienced Subject Matter Expert
- Hands on practice on real Servers and extended lab support 1.800.482.3172
- Examination Vouchers & Onsite Certification Testing – (excluding Adobe and PMP Boot Camps)
- Academy Code of Honor: Test Pass Guarantee
- Optional: Package for Hotel Accommodations, Lunch and Transportation
With several convenient training delivery methods offered, The Code Academy makes getting the training you need easy. Whether you prefer to learn in a classroom or an online live learning virtual environment, training videos hosted online, and private group classes hosted at your site. We offer expert instruction to individuals, government agencies, non-profits, and corporations. Our live classes, on-sites, and online training videos all feature certified instructors who teach a detailed curriculum and share their expertise and insights with trainees. No matter how you prefer to receive the training, you can count on The Code Academy for an engaging and effective learning experience.
Methods
- Instructor Led (the best training format we offer)
- Live Online Classroom – Online Instructor Led
- Self-Paced Video
Speak to an Admissions Representative for complete details
| Start | Finish | Public Price | Public Enroll | Private Price | Private Enroll |
|---|---|---|---|---|---|
| 9/28/2026 | 9/28/2026 | ||||
| 10/19/2026 | 10/19/2026 | ||||
| 11/9/2026 | 11/9/2026 | ||||
| 11/30/2026 | 11/30/2026 | ||||
| 12/21/2026 | 12/21/2026 | ||||
| 1/11/2027 | 1/11/2027 | ||||
| 2/1/2027 | 2/1/2027 | ||||
| 2/22/2027 | 2/22/2027 | ||||
| 3/15/2027 | 3/15/2027 | ||||
| 4/5/2027 | 4/5/2027 | ||||
| 4/26/2027 | 4/26/2027 | ||||
| 5/17/2027 | 5/17/2027 | ||||
| 6/7/2027 | 6/7/2027 | ||||
| 6/28/2027 | 6/28/2027 | ||||
| 7/19/2027 | 7/19/2027 | ||||
| 8/9/2027 | 8/9/2027 | ||||
| 8/30/2027 | 8/30/2027 | ||||
| 9/20/2027 | 9/20/2027 |
Learning Objectives
- Developing in Agentic AI Systems Part 1 of 2
- Developing in agentic AI systems part 2 of 2
Course Outline
Module 1: Developing in Agentic AI Systems Part 1 of 2
- Foundations of Agentic AI in GitHub
- Designing Agent Architecture and SDLC Integration
- Tooling, MCP, and Agent Execution Environments
Module 2: Developing in agentic AI systems part 2 of 2
- Multi-Agent systems and orchestration
- Memory, State, and Evaluation
- Governance, guardrails, and operations
