This course focuses on the practical skills needed to architect and develop multi-agent AI solutions using Microsoft Foundry and Azure, validating your ability to design logical architecture for multi-agent solutions, build and integrate tool ecosystems, implement multi-agent orchestration and integration of monitoring, security and governance.
Architect multi-agent solutions
Develop multi-agent solutions in Azure
Evaluate, optimise, and monitor multi-agent solutions
Implement text analysis solutions
Secure, govern, and deploy multi-agent solutions
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.
This course is designed for expert-level practitioners who have subject matter expertise in designing, building, and optimising scalable, production‑ready, multi-agent AI systems, solutions and workflows.
Completion of AI-103: Develop AI Agents on Azure and AI-300: Operationalise Generative AI Applications (or equivalent experience).
Working experience with Microsoft Foundry Agent Service, including agent development, deployment, tool integration, and custom function/MCP tool consumption.
Familiarity with multi-agent orchestration patterns (sequential, concurrent, group chat, handoff) and basic knowledge of the A2A protocol and remote agent connectivity.
Experience with retrieval and grounding patterns, including classic RAG using Azure AI Search (hybrid search and semantic ranking).
Experience with system prompt design for agent persona and behaviour control.
Familiarity with Microsoft Foundry project deployment, agent evaluation workflows, and related portal capabilities.
Working experience with GitHub Actions for CI/CD pipeline design and implementation.
Knowledge of Azure security and identity services, including Azure Key Vault, Microsoft Entra ID, managed identities, RBAC, responsible AI principles, and Azure AI Content Safety guardrails.
Experience with observability and monitoring, including OpenTelemetry instrumentation and Azure Monitor / Log Analytics workspaces.
Basic familiarity with Power Automate workflow design.
Python programming proficiency, including asynchronous programming, REST API consumption, and use of the Azure AI SDK and Azure OpenAI SDK.
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.
