GH-600T00: Developing in Agentic AI Systems

Price
$695.00 USD

Duration
1 Day

Delivery Methods
Virtual Instructor Led
Private Group

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Course Overview

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.

Who Should Attend?

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

Top-rated instructors: Our crew of subject matter experts have an average instructor rating of 4.8 out of 5 across thousands of reviews.
Authorized content: We maintain more than 35 Authorized Training Partnerships with the top players in tech, ensuring your course materials contain the most relevant and up-to date information.
Interactive classroom participation: Our virtual training includes live lectures, demonstrations and virtual labs that allow you to participate in discussions with your instructor and fellow classmates to get real-time feedback.
Post Class Resources: Review your class content, catch up on any material you may have missed or perfect your new skills with access to resources after your course is complete.
Private Group Training: Let our world-class instructors deliver exclusive training courses just for your employees. Our private group training is designed to promote your team’s shared growth and skill development.
Tailored Training Solutions: Our subject matter experts can customize the class to specifically address the unique goals of your team.

Learning Credits: Learning Credits can be purchased well in advance of your training date to avoid having to commit to specific courses or dates. Learning Credits allow you to secure your training budget for an entire year while eliminating the administrative headache of paying for individual classes. They can also be redeemed for a full year from the date of purchase. If you have previously purchased a Learning Credit agreement with New Horizons, you may use a portion of your agreement to pay for this class.

If you have questions about Learning Credits, please contact your Account Manager.

Corporate Tech Pass: Our Corporate Tech Pass includes unlimited attendance for a single person, in the following Virtual Instructor Led course types: Microsoft Office, Microsoft Technical, CompTIA, Project Management, SharePoint, ITIL, Certified Ethical Hacker, Certified Hacking Forensics Investigator, Java, Professional Development Courses and more. The full list of eligible course titles can be found at https://www.newhorizons.com/eligible.

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Agenda

1 - 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, anti-patterns, and traceability needs
Apply the contributor model to agent-generated work

2 - 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 cross-job handoffs
Control and operate agents - observability, tools, MCP, secrets, hooks, and reliability

3 - 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
Module assessment

4 - Multi-Agent Systems and Orchestration

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

5 - 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

6 - Governance, guardrails, and operations

Define risk-based autonomy and action boundaries
Enforce governance with GitHub controls
Design human-in-the-loop workflows
Control agent capabilities using least privilege
Make actions observable, traceable, and auditable
Maintain governance and operational reliability

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CourseID: 3606928E