Last Updated Sep 2025This is a comprehensive learning journey designed to rapidly equip professionals with the skills needed to effectively build, demonstrate, and deploy powerful AI-driven agents. From presales essentials using Microsoft Copilot Studio and SharePoint agents to advanced multi-agent development leveraging Azure AI Foundry, AutoGen, Semantic Kernel, and Microsoft Teams SDK, participants will progressively gain deep, practical insights. Attend this workshop to master key AI concepts, accelerate your organization's AI capabilities, and confidently architect, deploy, and scale sophisticated AI agent solutions.
Duration - 20 Hours
Level - Advanced
Style - Self paced
Course Type - Project Ready with Labs
Certification - No
Hands on Labs - Yes
Solution Areas - Azure - Cloud & AI Platform, Innovate with Azure AI Apps and Agents
ESI Course Code - DW- 200
Microsoft 365 Copilot enhances productivity through intelligent agents, semantic indexing, and integrated chat experiences. New agents in Microsoft 365, including those in SharePoint, unlock added value by addressing diverse use cases and streamlining user interactions.
Microsoft 365 extensibility enables organizations to build, customize, and govern intelligent agents using tools like Copilot Studio and Teams Toolkit. With a focus on declarative and autonomous agents, the approach includes planning strategies, agent governance, and guidance on whether to build, buy, or extend Gen-AI solutions.
The assessment is timed, and you have 45:00 (mm:ss) to complete it. If you leave the assessment without clicking the Finished button at the end, your answers are automatically submitted.
Customizing agents in Microsoft 365 involves orchestrating UI, knowledge, actions, and autonomy using Copilot Studio and the Microsoft 365 Agents SDK. Architects can leverage Power Platform, Generative AI, voice capabilities, and AI Foundry integration for advanced agent development and implementation.
AI Foundry and the SDK provide a foundation for understanding and using language models through Azure AI Services and the Azure OpenAI Service. With access to the AI Foundry Model Catalog and Models-as-a-Service, organizations can build responsibly using Trustworthy AI safeguards and guided model selection.
Evaluates the Solution Architect's competency in rapidly designing, architecting, and clearly communicating technical solutions leveraging Microsoft Copilot, Azure AI Foundry, Semantic Kernel, AutoGen, and related technologies.
Azure AI Agent Service supports orchestrating and debugging AI workflows using techniques like Retrieval Augmented Generation (RAG) and model customization through fine-tuning and distillation. The preview of the Responses API further enhances control over AI outputs, enabling tailored and efficient AI solutions.
Multi-agent applications leverage frameworks like Semantic Kernel and AutoGen to enable intelligent collaboration and orchestration among agents. These tools help build sophisticated AI systems where agents work together seamlessly to perform complex tasks and enhance automation.
Managing AI at scale requires robust agent controls, performance optimization, and enterprise-grade governance. With observability tools, security measures, and monitoring capabilities, organizations can ensure reliable, secure, and compliant AI operations in production environments.
Ensuring AI security involves identifying risks, managing identity and access, and implementing continuous protection for AI applications. Tools like Azure AI Content Safety, GenAIOps evaluation, and network security frameworks help maintain trust and safeguard AI systems throughout their lifecycle.
Intermediate
Beginner
Intermediate
Beginner
No. of
Learners - 129
Audio Available in 10 Languages