The open-source AI agent landscape is thriving with innovation. This session is your definitive guide to building, deploying, and monitoring OSS agent frameworks. Learn patterns and best practices that combine the best of open-source frameworks with the AI platform built for production – Vertex AI. In this session, we'll cover techniques for multi-agent orchestration, working with diverse data sources, and building autonomous workflows. Join us on a journey from open-source agent frameworks to production-grade agent deployments and LLMOps on Vertex AI.

No marketing allowed! This session is FOR developers, BY developers. If you are a Developer, if you love AI, or just want to learn more about AI - this session is for you. Take a break from slides and hype, and learn tips, tricks, and shortcuts from Developer Advocates and Google Engineers in Cloud AI. Bring your laptop, an appetite for fun, and expect to see some actual code in this rapid fire session. 

Calling all Python developers using Google Cloud! Share your experiences, projects, and insights leveraging Python on Google Cloud. Whether you're exploring official libraries, automating tasks, or building innovative solutions, this meetup is for you. Let's discuss what's working well, challenges you've faced, and how Python + Google Cloud could be even better. Connect with fellow developers, get inspired, and help shape the future of Python on Google Cloud!

Learn to connect large language models (LLMs) to real-world data and external knowledge sources with LangChain's open-source capabilities integrated with Vertex AI. Explore use cases such as natural language queries for interacting with Cloud SQL databases, complex workflow automation using Gemini function calling, interactive data-mapping and analysis, and enhanced chatbots using real-time data and tool integrations. Harness LangChain's flexibility with Gemini in Vertex AI's reasoning engine to unlock the true potential of generative AI and push boundaries.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.

A hands-on coding session and deep dive for connecting Gemini to real-world systems, data, and APIs with Function Calling and Reasoning Engine. Function calling helps developers build online generative AI applications that have access to the latest data and information. We'll dive into practical use cases like using natural language to interact with SQL databases, automating complex workflows, and enhancing your chatbots with real-time data. You'll be equipped to connect LLMs to any API or system and extend the capabilities of what LLMs can do.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.