Generative artificial intelligence (AI) has taken the world by storm, and Google Cloud Platform (GCP) has a broad range of powerful generative AI tools that can be used to leverage the power of modern artificial intelligence. Google's Generative AI Studio is a cloud console tool for rapid prototyping and testing of generative AI models and leverages the power of Vertex AI, allowing developers to interact, tune, and deploy large-scale AI models. In this course, you will take a deep dive into Generative AI Studio, beginning with generative AI prompt design, model training, and tuning language models. Then you will explore model performance evaluation and generative AI deployment. Next, you will focus on case studies and practical examples to discover how organizations use GCP generative AI. Finally, you will learn how to convert speech to text and prototype language applications.
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Syllabus
- discover the key concepts covered in this course
- provide an overview of prompt design that results in desired outcomes from language models
- use prompt samples
- describe the process for training a generative AI model using Generative AI Studio
- fine-tune a generative AI model using Generative AI Studio
- evaluate a generative AI model's performance using Generative AI Studio
- describe considerations for deployment of generative AI using GCP
- deploy a GCP generative AI app to a website
- outline case studies and practical examples of generative AI applications developed with Generative AI Studio
- use Generative AI Studio to convert between speech and text
- prototype language apps using Generative AI Studio
- summarize the key concepts covered in this course