Machine learning (ML) is one of the top priorities for businesses of all sizes today. However, it’s still hard to productionalize data science use cases, especially because the journey from experimentation lacks standardization. One way to address this challenge is to embrace MLOps practices and adopt a template-driven approach with reusable ML pipelines code. From a collaboration between Datatonic and Google Cloud, the MLOps Turbo Templ...

In the context of AI workloads, governance is needed to ensure data is accurate, secure, and compliant. The majority of tech enterprises have begun to communicate guidelines and guardrails restricting employees' ability to use Gen AI solutions, which is partly driven by governance concerns. But restriction is not the only way. Those who want to encourage experimentation or are actively building customer-facing capabilities can take very specif...

Are you still writing bespoke integrations to connect with Google Cloud or 3rd party SaaS apps? Did you know, Application Integration, a new Google Cloud product, provides a drag-and-drop interface and plug-and-play connectors to build your automations? Application Integration helps you automate business processes by connecting any application – both homegrown and third-party SaaS – with simple point-and-click configurations. Learn...

Now that you’ve mastered the basics, it’s time to build your first gen AI application! In our final week, we’ll cover best practices for transitioning from gen AI prototypes to production-ready apps. We’ll finish our bootcamp with a hands-on guide to building a Firebase app with the Palm 2 API extension.

Join us for this no cost training, where you'll do a high-level exploration of Google's recommended best practices for responsible AI usage across different areas of focus: Fairness, Interpretability, Privacy and Safety. Along the way, you will learn how you can leverage different open-source tools and tools on Vertex AI to explore these concepts and spend time considering the different challenges that arise with generative AI.

Join us for this no cost training workshop is for technologists interested in transforming their government agency with the help of Google Cloud. Technical experts in Google Cloud will explain key features, public sector use cases, share best practices, walk through technical demos, and be available to answer your questions. Participants learn the value of Google Cloud and how to incorporate cloud-based solutions into business strategies. Lapt...

Join us for a no cost training for decision-makers, IT business leaders, and program managers to learn more about Google Cloud cloud technology and digital transformation, Google’s global network, role of data in digital transformation, infrastructure and application modernization, and Google Cloud solutions. We will also provide an overview of our air-gapped private cloud solution for regulated customers, Google Distributed Cloud Hosted.

Are you looking to take your GenAI platform game to the next level? LLaMa-2 is a powerful open source language model that can be fine-tuned on your own custom dataset to perform a variety of tasks, such as text generation, translation, and summarization. Combined with Google Kubernetes (GKE), the most scalable Kubernetes platform for running large language models (LLMs) you can unlock the open source AI innovations with scalability, reliabilit...

Agencies that invest in building industry-specific AI solutions are proven to be better positioned for responding to mission needs in real-time. Come hear from Google's experts on how you can very rapidly supercharge your business processes with state-of-the art artificial intelligence.

A Cortex & GenAI hands-on lab Workshop for 90 min explains cortex data model and Generative AI use cases. The workshop will be highly interactive and energize customers to explore the art of the possible with cortex foundation and GenAI before narrowing in on an actionable use case. We shall focus on Identifying business opportunities, understanding cortex data models in Big query and focus in on the lab to build a GenAI app on google cloud.