Multi-Agent Systems
talk-data.com
Company
Google Cloud
Speakers
1577
Activities
1229
Speakers from Google Cloud
Ivan Nardini
Developer Relations Engineer
61
Annie Wang
Developer Relations Engineer
60
Liz Raymond
Senior Generative AI Engineer, Google Cloud Consulting
8
Gwendolyn Stripling
AI/ML Technical Curriculum Developer
7
Holt Skinner
Developer Advocate
7
Patrick Bentley
Custom Training Lead, Google Cloud
7
Patrick Cole
Global Lead, Advanced Solution Lab Immersive Education
7
Vishal Patel
Lab Architect, Senior Program Manager
6
Alec Mirchandani
Head of GenAI Applications
5
Carolyn Ujcic
Director, AI Services
5
Chelsie Czop
Senior Product Manager, Google Cloud AI Infrastructure
5
Crispin Velez
Cloud Vertex AI GIS Lead
5
Eamonn Ward
Director, Global Business Enablement
5
Frank Torres
Business Development and Transformation Manager, Cloud AI & GenAI Services
5
Jamie Duncan
Northam Platform Specialist, Apps CE
5
Katie Nguyen
Developer Relations Engineer, Cloud AI and Industry Solutions
5
Marcel Ribas
Learning Consultant
5
Meenu Tomar
Head of AI Services, TMEG and HCLS
5
Michael Abel
Technical Lead, Specialized Training
5
Michael Dunn
AI Transformation Manager
5
Talks & appearances
1229 activities from Google Cloud speakers
Deploy AI Agents to Production
A2A Protocol
Foundations with ADK
Foundations of AI agent development using the ADK; theory and live coding.
Episode 1 – Foundations with ADK.
MCP and tool integration for AI agents; theory and live coding.
MCP & Tool Integration
Episode 2 – MCP & Tool Integration.
Multi-Agent Systems
Episode 3 – Multi-Agent Systems.
Multi-agent systems and collaboration; theory and live coding.
Overview of the A2A protocol and its role in agent collaboration.
Guidance on deploying AI agents to production environments on GCP.
Foundations session introducing AI agent development with ADK.
Session on MCP and tool integration for AI agents.
Exploration of multi-agent architectures and coordination.
True enterprise AI demands collaboration between agents. The Google Cloud team introduces MAS and A2A Protocol, an open standard for seamless AI agent communication. A2A provides a universal language for agents to discover capabilities, delegate tasks, exchange content, and manage complex workflows securely. We'll discuss the Agent Development Kit (ADK), Google Cloud's open-source framework for building sophisticated MAS, integrating with A2A. We'll show how Google Cloud empowers developers to build modular, scalable agentic applications, leveraging Gemini models and Vertex AI, and integrating with enterprise data.
True enterprise AI demands collaboration between agents. The Google Cloud team will introduce Multi-Agent Systems (MAS) and the Agent-to-Agent (A2A) Protocol, an open standard for seamless AI agent communication. A2A provides a universal language for agents to discover capabilities, delegate tasks, exchange diverse content, and manage complex workflows securely. We’ll discuss the Agent Development Kit (ADK), Google Cloud’s open-source framework for building sophisticated MAS, integrating with A2A. We’ll show how Google Cloud empowers developers to build modular, scalable agentic applications, leveraging Gemini models and Vertex AI, and integrating with enterprise data. Join us to learn how A2A, combined with Google Cloud’s AI ecosystem, is accelerating multi-agent intelligence, enabling smarter automation and unprecedented productivity.
True enterprise AI demands collaboration between agents. The Google Cloud team will introduce Multi-Agent Systems (MAS) and the Agent-to-Agent (A2A) Protocol, an open standard for seamless AI agent communication. A2A provides a universal language for agents to discover capabilities, delegate tasks, exchange diverse content, and manage complex workflows securely. We'll discuss the Agent Development Kit (ADK), Google Cloud's open-source framework for building sophisticated MAS, integrating with A2A. We'll show how Google Cloud empowers developers to build modular, scalable agentic applications, leveraging Gemini models and Vertex AI, and integrating with enterprise data. Join us to learn how A2A, combined with Google Cloud's AI ecosystem, is accelerating multi-agent intelligence, enabling smarter automation and unprecedented productivity.
True enterprise AI demands collaboration between agents. The Google Cloud team will introduce Multi-Agent Systems (MAS) and the Agent-to-Agent (A2A) Protocol, an open standard for seamless AI agent communication. A2A provides a universal language for agents to discover capabilities, delegate tasks, exchange diverse content, and manage complex workflows securely. We'll discuss the Agent Development Kit (ADK), Google Cloud's open-source framework for building sophisticated MAS, integrating with A2A. We'll show how Google Cloud empowers developers to build modular, scalable agentic applications, leveraging Gemini models and Vertex AI, and integrating with enterprise data.
Episode 4 of 5 on deploying tools and agents to Vertex AI Agent Engine.
Episode 4: Deploying to Vertex AI Agent Engine.
Foundations with ADK: an introduction to building AI agents using ADK, covering fundamental concepts, architecture, and best practices.