Developing in Agentic AI Systems
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.
Updated August 2026
Virtual Learning
This interactive training can be taken from any location, your office or home and is delivered by a trainer. This training does not have any delegates in the class with the instructor, since all delegates are virtually connected. Virtual delegates do not travel to this course, Global Knowledge will send you all the information needed before the start of the course and you can test the logins.
4 courses found
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- Delivery Format: Virtual Learning
- Date 08 February, 2027 | 9:00 AM to 5:00 PM
- Location: Virtual (Eastern Standard Time)
- Language: English
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- Delivery Format: Virtual Learning
- Date 14 May, 2027 | 9:00 AM to 5:00 PM
- Location: Virtual (Eastern Standard Time)
- Language: English
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- Delivery Format: Virtual Learning
- Date 23 August, 2027 | 9:00 AM to 5:00 PM
- Location: Virtual (Eastern Standard Time)
- Language: English
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- Delivery Format: Virtual Learning
- Date 29 November, 2027 | 9:00 AM to 5:00 PM
- Location: Virtual (Eastern Standard Time)
- Language: English
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