Course Overview:

Duration: 1 Hour

The future of AI lies in networks of autonomous agents that communicate, coordinate, and act collectively. This session explores how orchestration frameworks like LangGraph—alongside emerging open protocols such as the Model Context Protocol (MCP) and Agent-to-Agent (A2A)—enable scalable, interoperable multi-agent systems. We’ll cover key design principles including autonomy, modularity, and abstraction; demonstrate how agentic components can be exposed and consumed via standardized protocols; and show how to orchestrate diverse interaction styles. Attendees will leave with practical insights to architect intelligent, collaborative agent workflows.

Instructor:

Valentina Alto

Technical Architect, AI & App at Microsoft

"Valentina is a Data Science MSc graduate and AI and Apps Tech Architect at Microsoft, focusing on Analytics and AI workloads within the manufacturing and pharmaceutical industry since 2022. She has been working on customers' digital transformations, designing cloud architecture and modern data platforms, including IoT, real-time analytics, Machine Learning, and Generative AI. She is also a tech author, contributing articles on machine learning, AI, and statistics, and recently published a book on Generative AI and Large Language Models. In her free time, she loves hiking and climbing around the beautiful Italian mountains, running, and enjoying a good book with a cup of coffee."

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