Learn Generative AI by google for free through the cloud skills boost program. It is a curated collection of content on generative AI products and technologies. Check out the details below.
About Google Cloud Skill Boost
Google Cloud Skills Boost is a training service that gives learners an on-demand, all-access pass to 700+ learning activities. The catalog consists of a variety of activity formats for you to pick from. Choose from bite-size individual labs, short quests comprising a series of labs, or multi-module courses that consist of videos, documents, labs, and quizzes.
About the Course
Google Generative AI course guides you through a curated collection of content on generative AI products and technologies, from the fundamentals of Large Language Models to how to create and deploy generative AI solutions on Google Cloud. The course has 10 lessons, they are:
- Introduction to Generative AI
This is an introductory level microlearning course aimed at explaining what Generative AI is, how it is used, and how it differs from traditional machine learning methods. It also covers Google Tools to help you develop your own Gen AI. - Introduction to Large Language Models
This is an introductory level microlearning course that explores what large language models (LLM) are, the use cases where they can be utilized, and how you can use prompt tuning to enhance LLM performance. - Introduction to Responsible AI
This is an introductory-level microlearning course aimed at explaining what responsible AI is, why it’s important, and how Google implements responsible AI in their products. - Generative AI Fundamentals
Earn a skill badge by completing the Introduction to Generative AI, Introduction to Large Language Models and Introduction to Responsible AI courses. - Introduction to Image Generation
This course introduces diffusion models, a family of machine learning models that recently showed promise in the image generation space. Diffusion models draw inspiration from physics, specifically thermodynamics. - Encoder-Decoder Architecture
This course gives you a synopsis of the encoder-decoder architecture, which is a powerful and prevalent machine learning architecture for sequence-to-sequence tasks such as machine translation, text summarization, and question answering. - Attention Mechanism
This course will introduce you to the attention mechanism, a powerful technique that allows neural networks to focus on specific parts of an input sequence. - Transformer Models and BERT Mode
This course introduces you to the Transformer architecture and the Bidirectional Encoder Representations from Transformers (BERT) model. - Create Image Captioning Models
This course teaches you how to create an image captioning model by using deep learning. - Introduction to Generative AI Studio
This course introduces Generative AI Studio, a product on Vertex AI, that helps you prototype and customize generative AI models so you can use their capabilities in your applications.
Eligibility
The course doesn’t have any eligibility criteria. All enthusiastic learners can sign up.
Timeline
The course is self-paced. There are no deadlines and requirements
How to Apply?
Interested candidates can apply directly via this link.
Select the Generative AI learning path.
