What you’ll learn
After completing this course, students will be able to:
Prepare agent architecture and SDLC processes
Implement tool use and environment interaction
Manage memory, state, and execution)
Perform evaluation, error analysis, and tuning
Orchestrate multi-agent coordination
Implement guardrails and accountability
Microsoft Azure at Lumify Work
As part of Lumify Group, Lumify Work has skilled more people in Microsoft technologies than any other organisation in Australia and New Zealand. We have a campus in the Philippines, too. We offer the broadest range of instructor-led training courses, from end user to architect level. We are proud to be the winner of the Microsoft MCT Superstars Award for FY24, which formally recognises us as having the highest quality Microsoft Certified Trainers in ANZ.
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 customisation 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
Course subjects
Developing in Agentic AI Systems Part 1
Foundations of Agentic AI in GitHub
Designing Agent Architecture and SDLC Integration
Tooling, MCP, and Agent Execution Environments
Developing in Agentic AI Systems Part 2
Prerequisites
A GitHub account
Basic understanding of AI fundamentals
Basic understanding of repositories, branches, and pull requests
General knowledge of CI and CD concepts
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Terms & Conditions
The supply of this course by Lumify Work is governed by the booking terms and conditions. Please read the terms and conditions carefully before enrolling in this course, as enrolment in the course is conditional on acceptance of these terms and conditions.