The next evolution of agentic AI isn’t just “better prompts” or “more tools,” it’s agents that can collaborate across boundaries. The A2A (Agent-to-Agent) Protocol makes that collaboration practical by standardizing how agents discover each other, negotiate capabilities, exchange tasks, stream progress, and return artifacts — even when they’re built on different frameworks or run in different environments.

In this session, we’ll unpack why many multi-agent systems fail in production (fragile handoffs, unclear responsibilities, brittle integrations, and poor reliability under long-running workflows). Then we’ll introduce the core A2A building blocks — Agent Cards, task lifecycles, streaming updates, artifact delivery, and secure interoperability and show how to orchestrate multiple specialist agents with clear contracts and robust coordination patterns.

A live walkthrough will demonstrate how to design a Supervisor + Specialist architecture using A2A, including real-time progress streaming, error recovery, and observable “handoffs” that make multi-agent workflows durable instead of demo-only.

What We Will Cover:

• Why multi-agent systems fail in production – context loss, inconsistent handoffs, poor visibility, and unreliable sub-task delegation
• A2A Protocol Fundamentals – standardizing agent discovery, capability signaling, tasks, artifacts, and streaming
• Agent Discovery with Agent Cards – skills, modalities, endpoints, versioning, and trust boundaries
• Scalable Orchestration Patterns – Supervisor → Router → Specialist teams, and contract-based delegation with clear inputs/outputs
• Tool-Using Agents vs Agent-to-Agent Collaboration – understanding how A2A complements MCP
• Long-Running Task Management – designing task lifecycles, handling partial outputs, cancellations, retries, fallbacks, and resumable execution
• Streaming Progress & Artifact Delivery – real-time updates and structured outputs you can store and reuse
• Production Considerations – observability, debugging, governance, authentication boundaries, and safety guardrails for agent networks

Hands-On Insights:

Through a guided demo and Q&A, you’ll learn how to:

• Stand up a simple A2A orchestrator agent that discovers specialist agents via their Agent Cards
• Delegate work across multiple agents with reliable handoffs
• Stream progress updates and collect artifacts (reports, structured data, intermediate reasoning outputs)
• Implement practical resilience (timeouts, retries, fallback agents, and error-aware routing)

You’ll leave with a clear mental model and a reusable orchestration blueprint to evolve from single-agent demos into durable multi-agent systems.

The next evolution of agentic AI isn’t just “better prompts” or “more tools,” it’s agents that can collaborate across boundaries. The A2A (Agent-to-Agent) Protocol makes that collaboration practical by standardizing how agents discover each other, negotiate capabilities, exchange tasks, stream progress, and return artifacts — even when they’re built on different frameworks or run in different environments.

In this session, we’ll unpack why many multi-agent systems fail in production (fragile handoffs, unclear responsibilities, brittle integrations, and poor reliability under long-running workflows). Then we’ll introduce the core A2A building blocks — Agent Cards, task lifecycles, streaming updates, artifact delivery, and secure interoperability and show how to orchestrate multiple specialist agents with clear contracts and robust coordination patterns.

A live walkthrough will demonstrate how to design a Supervisor + Specialist architecture using A2A, including real-time progress streaming, error recovery, and observable “handoffs” that make multi-agent workflows durable instead of demo-only.

What We Will Cover:

• Why multi-agent systems fail in production – context loss, inconsistent handoffs, poor visibility, and unreliable sub-task delegation
• A2A Protocol Fundamentals – standardizing agent discovery, capability signaling, tasks, artifacts, and streaming
• Agent Discovery with Agent Cards – skills, modalities, endpoints, versioning, and trust boundaries
• Scalable Orchestration Patterns – Supervisor → Router → Specialist teams, and contract-based delegation with clear inputs/outputs
• Tool-Using Agents vs Agent-to-Agent Collaboration – understanding how A2A complements MCP
• Long-Running Task Management – designing task lifecycles, handling partial outputs, cancellations, retries, fallbacks, and resumable execution
• Streaming Progress & Artifact Delivery – real-time updates and structured outputs you can store and reuse
• Production Considerations – observability, debugging, governance, authentication boundaries, and safety guardrails for agent networks

Hands-On Insights:

Through a guided demo and Q&A, you’ll learn how to:

• Stand up a simple A2A orchestrator agent that discovers specialist agents via their Agent Cards
• Delegate work across multiple agents with reliable handoffs
• Stream progress updates and collect artifacts (reports, structured data, intermediate reasoning outputs)
• Implement practical resilience (timeouts, retries, fallback agents, and error-aware routing)

You’ll leave with a clear mental model and a reusable orchestration blueprint to evolve from single-agent demos into durable multi-agent systems.

The next evolution of agentic AI isn’t just “better prompts” or “more tools,” it’s agents that can collaborate across boundaries. The A2A (Agent-to-Agent) Protocol makes that collaboration practical by standardizing how agents discover each other, negotiate capabilities, exchange tasks, stream progress, and return artifacts — even when they’re built on different frameworks or run in different environments.

In this session, we’ll unpack why many multi-agent systems fail in production (fragile handoffs, unclear responsibilities, brittle integrations, and poor reliability under long-running workflows). Then we’ll introduce the core A2A building blocks — Agent Cards, task lifecycles, streaming updates, artifact delivery, and secure interoperability and show how to orchestrate multiple specialist agents with clear contracts and robust coordination patterns.

A live walkthrough will demonstrate how to design a Supervisor + Specialist architecture using A2A, including real-time progress streaming, error recovery, and observable “handoffs” that make multi-agent workflows durable instead of demo-only.

What We Will Cover:

• Why multi-agent systems fail in production – context loss, inconsistent handoffs, poor visibility, and unreliable sub-task delegation
• A2A Protocol Fundamentals – standardizing agent discovery, capability signaling, tasks, artifacts, and streaming
• Agent Discovery with Agent Cards – skills, modalities, endpoints, versioning, and trust boundaries
• Scalable Orchestration Patterns – Supervisor → Router → Specialist teams, and contract-based delegation with clear inputs/outputs
• Tool-Using Agents vs Agent-to-Agent Collaboration – understanding how A2A complements MCP
• Long-Running Task Management – designing task lifecycles, handling partial outputs, cancellations, retries, fallbacks, and resumable execution
• Streaming Progress & Artifact Delivery – real-time updates and structured outputs you can store and reuse
• Production Considerations – observability, debugging, governance, authentication boundaries, and safety guardrails for agent networks

Hands-On Insights:

Through a guided demo and Q&A, you’ll learn how to:

• Stand up a simple A2A orchestrator agent that discovers specialist agents via their Agent Cards
• Delegate work across multiple agents with reliable handoffs
• Stream progress updates and collect artifacts (reports, structured data, intermediate reasoning outputs)
• Implement practical resilience (timeouts, retries, fallback agents, and error-aware routing)

You’ll leave with a clear mental model and a reusable orchestration blueprint to evolve from single-agent demos into durable multi-agent systems.

Important: Register on the event website to receive joining link. (rsvp on meetup will NOT receive joining link).

This is virtual event for our global community, please double check your local time. Can't make it live? Register anyway! We'll send you a recording of the webinar after the event.

Description: The AI Deep Dive Series is a hands-on virtual initiative designed to empower developers to architect the next generation of Agentic AI. Moving beyond basic prompting, this series guides you through the complete engineering lifecycle using Google’s advanced stack.

You will master the transition from local Gemini CLI environments to building intelligent agents with the Agent Development Kit (ADK) and Model Context Protocol (MCP), culminating in the deployment of secure, collaborative Agent-to-Agent (A2A) ecosystems on Google Cloud Run. Join us to build AI systems that can truly reason, act, and scale.

All Sessions: Dec 4th, Dec 11th, Dec 13th, Dec 18th and Dec 20th.

Session 3 (Dec 13th) - Building AI Agents with ADK - Empowering with Tools Speaker: Arun KG (Staff Customer Engineer, GenAI, Google) Abstract: This second codelab in the "Building AI Agents with ADK" series focuses on empowering your agent with tools. You'll learn to add custom Python functions as tools, connect to real-time information using built-in tools like Google Search, and integrate tools from third-party frameworks like LangChain.

All attendees will get $5 cloud credits

Important: Register on the event website to receive joining link. (rsvp on meetup will NOT receive joining link).

This is virtual event for our global community, please double check your local time. Can't make it live? Register anyway! We'll send you a recording of the webinar after the event.

Description: The AI Deep Dive Series is a hands-on virtual initiative designed to empower developers to architect the next generation of Agentic AI. Moving beyond basic prompting, this series guides you through the complete engineering lifecycle using Google’s advanced stack.

You will master the transition from local Gemini CLI environments to building intelligent agents with the Agent Development Kit (ADK) and Model Context Protocol (MCP), culminating in the deployment of secure, collaborative Agent-to-Agent (A2A) ecosystems on Google Cloud Run. Join us to build AI systems that can truly reason, act, and scale.

All Sessions: Dec 4th, Dec 11th, Dec 13th, Dec 18th and Dec 20th.

Session 3 (Dec 13th) - Building AI Agents with ADK - Empowering with Tools Speaker: Arun KG (Staff Customer Engineer, GenAI, Google) Abstract: This second codelab in the "Building AI Agents with ADK" series focuses on empowering your agent with tools. You'll learn to add custom Python functions as tools, connect to real-time information using built-in tools like Google Search, and integrate tools from third-party frameworks like LangChain.

All attendees will get $5 cloud credits

Important: Register on the event website to receive joining link. (rsvp on meetup will NOT receive joining link).

This is virtual event for our global community, please double check your local time. Can't make it live? Register anyway! We'll send you a recording of the webinar after the event.

Description: The AI Deep Dive Series is a hands-on virtual initiative designed to empower developers to architect the next generation of Agentic AI. Moving beyond basic prompting, this series guides you through the complete engineering lifecycle using Google’s advanced stack.

You will master the transition from local Gemini CLI environments to building intelligent agents with the Agent Development Kit (ADK) and Model Context Protocol (MCP), culminating in the deployment of secure, collaborative Agent-to-Agent (A2A) ecosystems on Google Cloud Run. Join us to build AI systems that can truly reason, act, and scale.

All Sessions: Dec 4th, Dec 11th, Dec 13th, Dec 18th and Dec 20th.

Session 3 (Dec 13th) - Building AI Agents with ADK - Empowering with Tools Speaker: Arun KG (Staff Customer Engineer, GenAI, Google) Abstract: This second codelab in the "Building AI Agents with ADK" series focuses on empowering your agent with tools. You'll learn to add custom Python functions as tools, connect to real-time information using built-in tools like Google Search, and integrate tools from third-party frameworks like LangChain.

All attendees will get $5 cloud credits

Important: Register on the event website to receive joining link. (rsvp on meetup will NOT receive joining link).

This is virtual event for our global community, please double check your local time. Can't make it live? Register anyway! We'll send you a recording of the webinar after the event.

Description: The AI Deep Dive Series is a hands-on virtual initiative designed to empower developers to architect the next generation of Agentic AI. Moving beyond basic prompting, this series guides you through the complete engineering lifecycle using Google’s advanced stack.

You will master the transition from local Gemini CLI environments to building intelligent agents with the Agent Development Kit (ADK) and Model Context Protocol (MCP), culminating in the deployment of secure, collaborative Agent-to-Agent (A2A) ecosystems on Google Cloud Run. Join us to build AI systems that can truly reason, act, and scale.

All Sessions: Dec 4th, Dec 11th, Dec 13th, Dec 18th and Dec 20th.

Session 3 (Dec 13th) - Building AI Agents with ADK - Empowering with Tools Speaker: Arun KG (Staff Customer Engineer, GenAI, Google) Abstract: This second codelab in the "Building AI Agents with ADK" series focuses on empowering your agent with tools. You'll learn to add custom Python functions as tools, connect to real-time information using built-in tools like Google Search, and integrate tools from third-party frameworks like LangChain.

All attendees will get $5 cloud credits

Important: Register on the event website to receive joining link. (rsvp on meetup will NOT receive joining link).

This is virtual event for our global community, please double check your local time. Can't make it live? Register anyway! We'll send you a recording of the webinar after the event.

Description: The AI Deep Dive Series is a hands-on virtual initiative designed to empower developers to architect the next generation of Agentic AI. Moving beyond basic prompting, this series guides you through the complete engineering lifecycle using Google’s advanced stack.

You will master the transition from local Gemini CLI environments to building intelligent agents with the Agent Development Kit (ADK) and Model Context Protocol (MCP), culminating in the deployment of secure, collaborative Agent-to-Agent (A2A) ecosystems on Google Cloud Run. Join us to build AI systems that can truly reason, act, and scale.

All Sessions: Dec 4th, Dec 11th, Dec 13th, Dec 18th and Dec 20th.

Session 3 (Dec 13th) - Building AI Agents with ADK - Empowering with Tools Speaker: Arun KG (Staff Customer Engineer, GenAI, Google) Abstract: This second codelab in the "Building AI Agents with ADK" series focuses on empowering your agent with tools. You'll learn to add custom Python functions as tools, connect to real-time information using built-in tools like Google Search, and integrate tools from third-party frameworks like LangChain.

All attendees will get $5 cloud credits

Important: Register on the event website to receive joining link. (rsvp on meetup will NOT receive joining link).

This is virtual event for our global community, please double check your local time. Can't make it live? Register anyway! We'll send you a recording of the webinar after the event.

Description: The AI Deep Dive Series is a hands-on virtual initiative designed to empower developers to architect the next generation of Agentic AI. Moving beyond basic prompting, this series guides you through the complete engineering lifecycle using Google’s advanced stack.

You will master the transition from local Gemini CLI environments to building intelligent agents with the Agent Development Kit (ADK) and Model Context Protocol (MCP), culminating in the deployment of secure, collaborative Agent-to-Agent (A2A) ecosystems on Google Cloud Run. Join us to build AI systems that can truly reason, act, and scale.

All Sessions: Dec 4th, Dec 11th, Dec 13th, Dec 18th and Dec 20th.

Session 3 (Dec 13th) - Building AI Agents with ADK - Empowering with Tools Speaker: Arun KG (Staff Customer Engineer, GenAI, Google) Abstract: This second codelab in the "Building AI Agents with ADK" series focuses on empowering your agent with tools. You'll learn to add custom Python functions as tools, connect to real-time information using built-in tools like Google Search, and integrate tools from third-party frameworks like LangChain.

All attendees will get $5 cloud credits

From Queries to Agents: Bringing AI Workflows to SQL Server with Vectors, MCP, and Azure Optimization

AI is becoming a core part of the SQL Server ecosystem, opening new possibilities for automation, tuning, and intelligent data operations. In this talk, we’ll explore how modern AI tooling integrates with SQL Server and Azure SQL—highlighting how MCP (Model Context Protocol) servers, SQL Server’s new vector functions and out of the box Fabric Data Agents can enable low code and pro code solutions. Finally, we’ll bring these pieces together with a pro code agentic recommendation engine that looks at workload and operational pattern configuration and pricing options and proposes cost and performance optimizations for Azure SQL Database. Attendees will leave with a practical understanding of how to apply AI-driven capabilities to real SQL environments today.

In her tech tutorial, Elaheh explored how graph-based technologies can enhance the reasoning and transparency of agentic AI systems. She demonstrated how Graph Retrieval-Augmented Generation (Graph RAG) and the Model Context Protocol (MCP) enable richer, more structured knowledge representations. Through these methods, AI agents can make decisions that are both explainable and trustworthy. Elaheh also showcased real-world use cases—from real estate to sustainability management-highlighting how this graph-based paradigm empowers intelligent systems across industries.

This tutorial by Elaheh Momeni was held on October 14th at DSC DACH 25 in Vienna.

Follow us on social media : LinkedIn: https://www.linkedin.com/company/11184830/admin/ Instagram: https://www.instagram.com/datasciconf/ Facebook page: https://www.facebook.com/DataSciConference Website: https://datasciconference.com/

PubMed is a free search interface for biomedical literature, including citations and abstracts from many life science scientific journals. It is maintained by the National Library of Medicine at the NIH. Yet, most users only interact with it through simple keyword searches. In this hands-on tutorial, we will introduce PubMed as a data source for intelligent biomedical research assistants — and build a Health Research AI Agent using modern agentic AI frameworks such as LangChain, LangGraph, and Model Context Protocol (MCP) with minimum hardware requirements and no key tokens. To ensure compatibility, the agent will run in a Docker container which will host all necessary elements.

Participants will learn how to connect language models to structured biomedical knowledge, design context-aware queries, and containerize the entire system using Docker for maximum portability. By the end, attendees will have a working prototype that can read and reason over PubMed abstracts, summarize findings according to a semantic similarity engine, and assist with literature exploration — all running locally on modest hardware.

Expected Audience: Enthusiasts, researchers, and data scientists interested in AI agents, biomedical text mining, or practical LLM integration. Prior Knowledge: Python and Docker familiarity; no biomedical background required. Minimum Hardware Requirements: 8GB RAM (+16GB recommended), 30GB disk space, Docker pre-installed. MacOS, Windows, Linux. Key Takeaway: How to build a lightweight, reproducible research agent that combines open biomedical data with modern agentic AI frameworks.

Important: Register on the event website to receive joining link. (rsvp on meetup will NOT receive joining link).

This is virtual event for our global community, please double check your local time. Can't make it live? Register anyway! We'll send you a recording of the webinar after the event.

Description: The AI Deep Dive Series is a hands-on virtual initiative designed to empower developers to architect the next generation of Agentic AI. Moving beyond basic prompting, this series guides you through the complete engineering lifecycle using Google’s advanced stack.

You will master the transition from local Gemini CLI environments to building intelligent agents with the Agent Development Kit (ADK) and Model Context Protocol (MCP), culminating in the deployment of secure, collaborative Agent-to-Agent (A2A) ecosystems on Google Cloud Run. Join us to build AI systems that can truly reason, act, and scale.

All Sessions: Dec 4th, Dec 11th, Dec 13th, Dec 18th and Dec 20th.

Session 1 (Dec 4th) - Get started with Gemini 3.0 using AI Studio Speaker: Arun KG (Staff Customer Engineer, GenAI, Google) Abstract: This session is your fast track to deploying next-generation AI applications using Gemini 3.0 and Google AI Studio.

You will learn the new 'vibe coding' workflow to rapidly prototype full-stack web apps from natural language and instantly deploy them to a production-ready Cloud Run endpoint. Master the seamless integration that takes you from a simple prompt to a secure, scalable, and fully managed serverless service in minutes, fundamentally changing your development cycle. Gemini 3, AI Studio Cloud Run

All attendees will get $5 cloud credits

Important: Register on the event website to receive joining link. (rsvp on meetup will NOT receive joining link).

This is virtual event for our global community, please double check your local time. Can't make it live? Register anyway! We'll send you a recording of the webinar after the event.

Description: The AI Deep Dive Series is a hands-on virtual initiative designed to empower developers to architect the next generation of Agentic AI. Moving beyond basic prompting, this series guides you through the complete engineering lifecycle using Google’s advanced stack.

You will master the transition from local Gemini CLI environments to building intelligent agents with the Agent Development Kit (ADK) and Model Context Protocol (MCP), culminating in the deployment of secure, collaborative Agent-to-Agent (A2A) ecosystems on Google Cloud Run. Join us to build AI systems that can truly reason, act, and scale.

All Sessions: Dec 4th, Dec 11th, Dec 13th, Dec 18th and Dec 20th.

Session 1 (Dec 4th) - Get started with Gemini 3.0 using AI Studio Speaker: Arun KG (Staff Customer Engineer, GenAI, Google) Abstract: This session is your fast track to deploying next-generation AI applications using Gemini 3.0 and Google AI Studio.

You will learn the new 'vibe coding' workflow to rapidly prototype full-stack web apps from natural language and instantly deploy them to a production-ready Cloud Run endpoint. Master the seamless integration that takes you from a simple prompt to a secure, scalable, and fully managed serverless service in minutes, fundamentally changing your development cycle. Gemini 3, AI Studio Cloud Run

All attendees will get $5 cloud credits

Important: Register on the event website to receive joining link. (rsvp on meetup will NOT receive joining link).

This is virtual event for our global community, please double check your local time. Can't make it live? Register anyway! We'll send you a recording of the webinar after the event.

Description: The AI Deep Dive Series is a hands-on virtual initiative designed to empower developers to architect the next generation of Agentic AI. Moving beyond basic prompting, this series guides you through the complete engineering lifecycle using Google’s advanced stack.

You will master the transition from local Gemini CLI environments to building intelligent agents with the Agent Development Kit (ADK) and Model Context Protocol (MCP), culminating in the deployment of secure, collaborative Agent-to-Agent (A2A) ecosystems on Google Cloud Run. Join us to build AI systems that can truly reason, act, and scale.

All Sessions: Dec 4th, Dec 11th, Dec 13th, Dec 18th and Dec 20th.

Session 1 (Dec 4th) - Get started with Gemini 3.0 using AI Studio Speaker: Arun KG (Staff Customer Engineer, GenAI, Google) Abstract: This session is your fast track to deploying next-generation AI applications using Gemini 3.0 and Google AI Studio.

You will learn the new 'vibe coding' workflow to rapidly prototype full-stack web apps from natural language and instantly deploy them to a production-ready Cloud Run endpoint. Master the seamless integration that takes you from a simple prompt to a secure, scalable, and fully managed serverless service in minutes, fundamentally changing your development cycle. Gemini 3, AI Studio Cloud Run

All attendees will get $5 cloud credits

Important: Register on the event website to receive joining link. (rsvp on meetup will NOT receive joining link).

This is virtual event for our global community, please double check your local time. Can't make it live? Register anyway! We'll send you a recording of the webinar after the event.

Description: The AI Deep Dive Series is a hands-on virtual initiative designed to empower developers to architect the next generation of Agentic AI. Moving beyond basic prompting, this series guides you through the complete engineering lifecycle using Google’s advanced stack.

You will master the transition from local Gemini CLI environments to building intelligent agents with the Agent Development Kit (ADK) and Model Context Protocol (MCP), culminating in the deployment of secure, collaborative Agent-to-Agent (A2A) ecosystems on Google Cloud Run. Join us to build AI systems that can truly reason, act, and scale.

All Sessions: Dec 4th, Dec 11th, Dec 13th, Dec 18th and Dec 20th.

Session 1 (Dec 4th) - Get started with Gemini 3.0 using AI Studio Speaker: Arun KG (Staff Customer Engineer, GenAI, Google) Abstract: This session is your fast track to deploying next-generation AI applications using Gemini 3.0 and Google AI Studio.

You will learn the new 'vibe coding' workflow to rapidly prototype full-stack web apps from natural language and instantly deploy them to a production-ready Cloud Run endpoint. Master the seamless integration that takes you from a simple prompt to a secure, scalable, and fully managed serverless service in minutes, fundamentally changing your development cycle. Gemini 3, AI Studio Cloud Run

All attendees will get $5 cloud credits

Important: Register on the event website to receive joining link. (rsvp on meetup will NOT receive joining link).

This is virtual event for our global community, please double check your local time. Can't make it live? Register anyway! We'll send you a recording of the webinar after the event.

Description: The AI Deep Dive Series is a hands-on virtual initiative designed to empower developers to architect the next generation of Agentic AI. Moving beyond basic prompting, this series guides you through the complete engineering lifecycle using Google’s advanced stack.

You will master the transition from local Gemini CLI environments to building intelligent agents with the Agent Development Kit (ADK) and Model Context Protocol (MCP), culminating in the deployment of secure, collaborative Agent-to-Agent (A2A) ecosystems on Google Cloud Run. Join us to build AI systems that can truly reason, act, and scale.

All Sessions: Dec 4th, Dec 11th, Dec 13th, Dec 18th and Dec 20th.

Session 1 (Dec 4th) - Get started with Gemini 3.0 using AI Studio Speaker: Arun KG (Staff Customer Engineer, GenAI, Google) Abstract: This session is your fast track to deploying next-generation AI applications using Gemini 3.0 and Google AI Studio.

You will learn the new 'vibe coding' workflow to rapidly prototype full-stack web apps from natural language and instantly deploy them to a production-ready Cloud Run endpoint. Master the seamless integration that takes you from a simple prompt to a secure, scalable, and fully managed serverless service in minutes, fundamentally changing your development cycle. Gemini 3, AI Studio Cloud Run

All attendees will get $5 cloud credits

Important: Register on the event website to receive joining link. (rsvp on meetup will NOT receive joining link).

This is virtual event for our global community, please double check your local time. Can't make it live? Register anyway! We'll send you a recording of the webinar after the event.

Description: The AI Deep Dive Series is a hands-on virtual initiative designed to empower developers to architect the next generation of Agentic AI. Moving beyond basic prompting, this series guides you through the complete engineering lifecycle using Google’s advanced stack.

You will master the transition from local Gemini CLI environments to building intelligent agents with the Agent Development Kit (ADK) and Model Context Protocol (MCP), culminating in the deployment of secure, collaborative Agent-to-Agent (A2A) ecosystems on Google Cloud Run. Join us to build AI systems that can truly reason, act, and scale.

All Sessions: Dec 4th, Dec 11th, Dec 13th, Dec 18th and Dec 20th.

Session 1 (Dec 4th) - Get started with Gemini 3.0 using AI Studio Speaker: Arun KG (Staff Customer Engineer, GenAI, Google) Abstract: This session is your fast track to deploying next-generation AI applications using Gemini 3.0 and Google AI Studio.

You will learn the new 'vibe coding' workflow to rapidly prototype full-stack web apps from natural language and instantly deploy them to a production-ready Cloud Run endpoint. Master the seamless integration that takes you from a simple prompt to a secure, scalable, and fully managed serverless service in minutes, fundamentally changing your development cycle. Gemini 3, AI Studio Cloud Run

All attendees will get $5 cloud credits