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Azure Foundry AI Engineering Hackathon Deep Dive: Multi-Agent Architecture & Advanced Integrations

Master advanced Microsoft Cloud technologies with 300-level deep dive training. Explore Azure architecture, security, networking, DevOps, and enterprise workloads through intensive hands-on labs and real-world scenarios.

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Azure Foundry AI Engineering Hackathon Deep Dive: Multi-Agent Architecture & Advanced Integrations

Build advanced multi-agent AI systems with Azure Foundry using spec-first engineering, RAG pipelines, orchestration patterns, and secure enterprise integrations

Building enterprise-grade AI solutions requires more than creating a single chatbot or agent. This advanced hackathon-style deep dive teaches developers and architects how to design and implement multi-agent AI systems using Azure Foundry, focusing on specification-driven engineering, scalable agent orchestration, and real-world external integrations.

Participants learn how to move from structured design into production-ready implementation using a spec-first methodology that emphasizes architectural planning before development. Through expert-led hands-on exercises, attendees build a multi-agent AI system that combines retrieval-based knowledge, external business system integrations, and orchestrated agent workflows.

The course explores advanced agent design patterns including delegation, orchestration, and synthesis across multiple specialized agents. Participants implement secure integrations using modern protocols and authentication flows, enabling AI agents to retrieve, analyze, and enrich enterprise data while maintaining responsible engineering practices.

This immersive experience emphasizes real-world development workflows, combining AI-assisted coding with structured design principles to ensure solutions remain maintainable, scalable, and aligned with enterprise architecture standards.


Key Skills Covered

  • Spec-first AI engineering and architecture-driven development

  • Designing multi-agent systems using Azure Foundry Agent Service

  • Retrieval-Augmented Generation (RAG) pipelines with Azure AI Search

  • Agent orchestration patterns (delegation, coordination, synthesis)

  • Data ingestion and enrichment using automated crawling workflows

  • Secure external integrations using MCP and OAuth authentication

  • Multi-source data synthesis and workflow automation

  • Effective use of GitHub Copilot within structured engineering processes


Who Should Attend

  • AI engineers and developers building advanced agent solutions

  • Solution architects designing intelligent automation systems

  • Cloud engineers working with Azure AI services

  • Teams transitioning from single-agent prototypes to enterprise AI architectures


Suggested Prerequisites

  • Experience with AI application development or agent-based solutions

  • Completion of Azure Foundry AI Engineering Hackathon Deep Dive: Spec-First Agent Engineering recommended

  • Familiarity with Python or modern development workflows

  • Basic understanding of Retrieval-Augmented Generation (RAG) concepts


Delivery Approach

This class is delivered as an instructor-led advanced hackathon featuring structured checkpoints and guided architecture reviews. Participants progress through design, implementation, and integration phases while validating engineering decisions through collaborative review and iterative refinement.

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