Join us for this no cost training where you'll learn how to leverage pre-trained models as part of your machine learning workflow and how to fine-tune models for your specific applications.

Join us for this no cost training which introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle. It explores the processes, challenges, and benefits of building a big data pipeline and machine learning models with Vertex AI on Google Cloud.

Generative AI will be a game changer for many industries and has the potential to alter the way we interact with systems, how we structure processes and how we work with information. As a result, APIs will become even more important; in fact, we expect API usage and creation to grow exponentially in the coming years. In this webinar, we will give you an overview of: Our take on APIs in the age of generative AI A live demo of how to protect, co...

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...

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.

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...

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.

Google has always been a leader in Artificial Intelligence with the invention of technologies like TensorFlow. But did you know you can leverage Google’s industry leading AI hardware and software for your own projects? Join our specialists for a deep dive into Google Cloud’s unique AI/ML Infrastructure technologies and how they can help you accelerate outcomes for common use cases.

New advancements in Gen AI can help ISVs unlock new revenue streams, personalized experiences, cost savings and more. To help you build a strong data foundation and accelerate your path to Gen AI adoption, Google Cloud brings the approach of organizing world’s information and making it universally accessible and useful to your organization. Google’s data and AI Cloud is built with and for AI, so that you can get to use the latest t...