If you are interested in learning how to create and deploy generative AI solutions on Google Cloud, you might want to check out the Generative AI learning path on Google Cloud Skills Boost. This learning path guides you through a curated collection of content on Generative AI products and technologies, from the fundamentals of Large Language Models to how to use Generative AI Studio and Vertex AI.
Generative AI is a branch of artificial intelligence that focuses on creating new content or data from existing data, such as text, images, audio, or video. Generative AI can be used for various applications, such as content creation, data augmentation, image synthesis, text summarization, and more.
The Generative AI learning path consists of 10 learning activities that cover the following topics:
- Introduction to Generative AI: Learn what generative AI is, how it works, and what are some of the common generative models and techniques.
- Introduction to Large Language Models: Learn what large language models are, how they are trained and evaluated, and what are some of the challenges and opportunities they present.
- Introduction to Responsible AI: Learn what responsible AI is, why it is important, and what are some of the best practices and tools for developing and deploying responsible AI solutions.
- Introduction to Image Generation: Learn what image generation is, how it works, and what are some of the common image generation models and techniques.
- Encoder-Decoder Architecture: Learn what encoder-decoder architecture is, how it works, and what are some of the applications of encoder-decoder models in generative AI.
- Attention Mechanism: Learn what attention mechanism is, how it works, and what are some of the benefits of using attention in generative models.
- Transformer Models and BERT Model: Learn what transformer models are, how they work, and what are some of the advantages of using transformer models in generative AI. Also learn about BERT model, one of the most popular transformer models for natural language processing.
- Create Image Captioning Models: Learn how to create image captioning models using encoder-decoder architecture and attention mechanism. Image captioning is a task of generating natural language descriptions for images.
- Introduction to Generative AI Studio: Learn what Generative AI Studio is, how it works, and how to use it to create and deploy generative AI solutions on Google Cloud.
- Generative AI Explorer – Vertex AI: Learn how to use Generative AI Explorer on Vertex AI platform to explore and interact with pre-trained generative models.
By completing this learning path, you will gain a solid understanding of generative AI concepts and technologies, as well as hands-on experience with creating and deploying generative AI solutions on Google Cloud. You will also earn a Google Cloud skill badge that will demonstrate your proficiency in generative AI.
If you are ready to start your generative AI journey, visit https://www.cloudskillsboost.google/paths/118 and enroll in the Generative AI learning path today!