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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

Delivery Format

  • Company Event

    Event at company

  • Public Classroom

    Traditional Classroom Learning

  • Virtual Learning

    Learning that is virtual

4 courses found

    • Delivery Format: Virtual Learning
    • Date 07 December, 2026 | 8:00 AM to 4:00 PM
    • Location: Virtual (GMT Standa)
    • Language: English

    £950.00

    • Delivery Format: Virtual Learning
    • Date 04 June, 2027 | 9:00 AM to 5:00 PM
    • Location: Virtual (GMT Standa)
    • Language: English

    £950.00

    • Delivery Format: Virtual Learning
    • Date 11 August, 2027 | 8:00 AM to 4:00 PM
    • Location: Virtual (GMT Standa)
    • Language: English

    £950.00

    • Delivery Format: Virtual Learning
    • Date 10 December, 2027 | 9:00 AM to 5:00 PM
    • Location: Virtual (GMT Standa)
    • Language: English

    £950.00

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