Google Cloud Next ‘24 is right around the corner, and this year, there will be even more for developers to enjoy. Whether you’re on the generative AI kick or keeping up with what’s new with Javascript frameworks, there’s a session for technical practitioners in the Application Developers Zone! Meet the experts and get inspired to solve your biggest technical challenges over three days in Las Vegas, April 9-11. With over 600 sessions available, you can choose from a wide range of topics, covering everything from security to growing revenue with AI.
Here are a few of the sessions you won’t want to miss:
1. Building generative AI apps on Google Cloud with LangChain
Learn how to use LangChain, the most popular open-source framework for building LLM-based apps, on Cloud Run to add gen AI features to your own applications. See how to combine it with Cloud SQL’s pgvector extension for vector storage to quickly locate similar data points with vector search and reduce the cost of deploying models with Vertex Endpoints.
2. How to deploy all the JavaScript frameworks to Cloud Run
Join this session, where we’ll deploy as many JavaScript frameworks as we can, including Angular, React, and Node.js, as quickly as we can to prove that it can be done and have some fun!
3. Build full stack applications using Firebase & Google Cloud
Discover how Firebase and Google Cloud simplify full-stack development, empowering you to rapidly build scalable, enterprise-grade applications.
4. Get developer assistance customized to your organization code with Gemini
Join Gemini product managers and Capgemini to learn how to customize Duet AI with your own private codebase and bring AI code assistance to your development teams.
Also be sure to check out the Innovators Hive — a central hub where you can discover what’s new and next at Google Cloud — to dive into interactive demos and talk face-to-face with our developer experts. Here are a few of the demos you can expect to find in the Innovators Hive AppDev zone:
Write your own Cloud Functions (with the help of Duet AI/Gemini) to interact with our programmable pinball machine that uses Pub/Sub to collect events from the game in real time.
Learn all about serving a Gemma large language model using graphical processing units (GPUs) on Google Kubernetes Engine (GKE) Autopilot, working with the 2B and 7B parameter models in particular.
There’s so much more to enjoy at Next ‘24 that you’ll have to see it to believe it. And if you can’t go in person, you can still register for a digital pass, and access keynotes, 100+ breakout sessions on demand.
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