AI-500T00: Design and implement multi-agent AI solutions

Your Price
$2,495
Training only
Add the exam voucher now, or purchase it separately later — your choice carries to checkout.

Description

Duration: 4 days
Available from: 9/30/2026

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.

Target Audience

Candidates for this course, are expert-level practitioners who have subject matter expertise in designing, building, and optimizing scalable, production‑ready, multi-agent AI systems, solutions and workflows. Out of your job role, you work closely with developers, machine learning engineers, platform engineers, data scientists, and business stakeholders to translate complex requirements into production-ready, multi-agent solutions.

Certification Exam

This course prepares you for the AI-500 certification exam (Designing and Implementing Multi-Agent AI Solutions (beta)). An exam voucher can be added at registration.

What’s included?

  • Authorized Courseware
  • Intensive Hands on Skills Development with an Experienced Subject Matter Expert
  • Hands on practice on real Servers and extended lab support 1.800.482.3172
  • Examination Vouchers & Onsite Certification Testing – (excluding Adobe and PMP Boot Camps)
  • Academy Code of Honor: Test Pass Guarantee
  • Optional: Package for Hotel Accommodations, Lunch and Transportation

With several convenient training delivery methods offered, The Code Academy makes getting the training you need easy. Whether you prefer to learn in a classroom or an online live learning virtual environment, training videos hosted online, and private group classes hosted at your site. We offer expert instruction to individuals, government agencies, non-profits, and corporations. Our live classes, on-sites, and online training videos all feature certified instructors who teach a detailed curriculum and share their expertise and insights with trainees. No matter how you prefer to receive the training, you can count on The Code Academy for an engaging and effective learning experience.

Methods

  • Instructor Led (the best training format we offer)
  • Live Online Classroom – Online Instructor Led
  • Self-Paced Video

Speak to an Admissions Representative for complete details

StartFinishPublic PricePublic Enroll Private PricePrivate Enroll
9/28/202610/1/2026
10/19/202610/22/2026
11/9/202611/12/2026
11/30/202612/3/2026
12/21/202612/24/2026
1/11/20271/14/2027
2/1/20272/4/2027
2/22/20272/25/2027
3/15/20273/18/2027
4/5/20274/8/2027
4/26/20274/29/2027
5/17/20275/20/2027
6/7/20276/10/2027
6/28/20277/1/2027
7/19/20277/22/2027
8/9/20278/12/2027
8/30/20279/2/2027
9/20/20279/23/2027
Learning Objectives
  • Architect production-grade multi-agent AI solutions in Azure
  • Build production-grade multi-agent capabilities with Microsoft Foundry
  • Deploy and govern enterprise agentic AI solutions on Azure
  • Monitor, evaluate, and operate multi-agent AI solutions in Azure
Course Outline
Module 1: Architect production-grade multi-agent AI solutions in Azure
  • Design stateful agentic loops with Microsoft Foundry agent service
  • Implement advanced multi-agent orchestration patterns in Microsoft Foundry
  • Apply task decomposition and agent collaboration strategies in Microsoft Foundry
  • Design enterprise-scale agent communication with A2A in Azure
Module 2: Build production-grade multi-agent capabilities with Microsoft Foundry
  • Design advanced prompting strategies for production AI agents
  • Build enterprise-grade tool ecosystems with MCP and Microsoft Foundry
  • Implement advanced RAG pipelines with Azure AI Search and Microsoft Foundry
  • Design multi-agent memory architectures with Azure Cosmos DB
Module 3: Deploy and govern enterprise agentic AI solutions on Azure
  • Implement CI/CD pipelines for multi-agent systems with GitHub Actions
  • Secure multi-agent systems with Azure zero-trust architecture
  • Scale responsible AI governance with Azure AI Content Safety and Microsoft Foundry
  • Govern the enterprise agent lifecycle in Microsoft Foundry
Module 4: Monitor, evaluate, and operate multi-agent AI solutions in Azure
  • Implement distributed observability for multi-agent solutions with OpenTelemetry
  • Design evaluation frameworks for multi-agent solutions with Microsoft Foundry
  • Optimize multi-agent performance and cost in Microsoft Foundry
  • Design human-in-the-loop approval workflows with Power Automate and Microsoft Teams
  • Debug and respond to production multi-agent incidents in Azure