Extend Microsoft 365 Copilot in Copilot Studio

Webinar Summary:

AWS’s Machine Learning Basics webinar provides an overview of how ML works and how AWS simplifies each stage of the workflow. It introduces key concepts such as data preparation, training, evaluation, and deployment, then maps them to AWS tools. The session highlights AI Services for plug-and-play intelligence and Amazon SageMaker for end-to-end model development, automation, and scalable inference. A brief demo typically shows loading data into S3, training a model in SageMaker, and deploying an endpoint. The webinar closes with guidance on choosing the right service, managing costs, and applying best practices for reliable, production-ready ML systems.

Webinar Summary:

Discover how to extend Microsoft 365 Copilot with declarative agents in Copilot Studio. Learn what declarative agents are, how to build your first one, and how tools like prompt extensions can personalize and enrich responses. Walk away with practical insights to create flexible, enterprise-ready copilots that amplify productivity across your organization.

Webinar Summary:

This webinar introduces participants to the transformative world of Agentic AI powered by Model Context Protocol (MCP). Discover how MCP enables seamless collaboration between AI agents, tools, and data sources to perform complex, autonomous tasks. The session covers real-world use cases, architecture fundamentals, and hands-on insights into building intelligent agent ecosystems. Whether you're a developer, data professional, or tech enthusiast, this session will help you harness MCP to create next-generation AI