Google’s Generative AI Studio is a cloud-based platform that enables you to create and deploy AI models to generate text, images, audio, and video. It is ideal for creating high-quality, engaging content without having to learn how to code. Generative AI Studio is also a great tool for those who wish to explore the possibilities of AI-generated content.
During this lesson, you should gain a firm understanding of:
- What Generative AI is
- How to create realistic-sounding speech from text
- How to transcribe audio files
- How to build your own natural language AI models
- How to tune your models
- Anyone interested in Artificial Intelligence
- Access to a GCP account
Hello and welcome to “Introduction to Google Generative AI Studio”. My name is Daniel Mease, and I am a trainer at Cloud Academy with over 20 years of software and web development experience.
This lesson is designed for:
Anyone interested in Artificial Intelligence
By completing this lesson, you will learn:
How to create realistic sounding speech from text
How to transcribe your audio files
How to build your own natural language AI models
How to tune your models
The following prerequisites will be helpful:
Access to a GCP account
Please note that, when this video was recorded, all information was accurate. However, Google is constantly updating its products and services as part of its ongoing drive to innovate. This means that, over time, minor discrepancies may appear. Here at Cloud Academy, we strive to keep our content up to date in order to provide you the best training available. So, if you ever notice any information that is outdated, please let us know by contacting: firstname.lastname@example.org.
Daniel began his career as a Software Engineer, focusing mostly on web and mobile development. After twenty years of dealing with insufficient training and fragmented documentation, he decided to use his extensive experience to help the next generation of engineers.
Daniel has spent his most recent years designing and running technical classes for both Amazon and Microsoft. Today at Cloud Academy, he is working on building out an extensive Google Cloud training library.
When he isn’t working or tinkering in his home lab, Daniel enjoys BBQing, target shooting, and watching classic movies.