Multi-Agent Custom Automation Engine
This is a hands-on, intelligent automation learning experience designed to help enterprises streamline complex, multi-step business operations using AI-driven agents.
- Intermediate
- 6 hours
- Cloud and AI Platform
One day, guided
A single facilitated day. Every challenge validates automatically, so the room self-paces and the leaderboard settles itself. No jury needed.
Bookable now · we reply within one business day
Solution play
Innovate with Azure AI Apps and Agents
Overview
The lab guides participants through designing a multi-agent automation engine with Azure OpenAI and Semantic Kernel, where specialized agents such as extraction, validation, communication, and reporting agents collaborate autonomously. Agents are deployed as containerized microservices via Azure Container Apps and communicate through Azure Cosmos DB, enabling shared messaging and state management. A central orchestrator manages task routing, response validation, retries, and cross-agent coordination.
What participants work through
- Learning multi-agent design patterns and orchestration logic
- Building autonomous workflows using Semantic Kernel planners and skills
- Deploying containerized AI agents with Azure Container Apps and ACR
- Enabling shared memory, messaging, and context via Cosmos DB
- Implementing AI-driven task routing, validation, and error recovery
Technology stack
Azure OpenAI
Cosmos DBRun this with your teams
Environments, coaching, judging and reporting, all handled.