- Exploring Generative AI
In this introductory microlearning course, explore the world of generative AI and learn how it differs from traditional machine-learning techniques.
- Getting Started with Large Language Models
With the help of this introductory course and Google's extensive language models and toolkit, discover the possibilities of Gen AI applications.
- Understanding Responsible AI
Through this introductory course, learn about the importance of ethical AI and how Google incorporates it into its products.
- Mastering Generative AI Fundamentals
You will receive a talent badge after finishing courses on large language models, responsible AI, and generative AI.
- Introduction to Image Generation Techniques
Learn about the complexities of diffusion models and how they are used to create visuals.
- Exploring Encoder-Decoder Architecture
Learn about the reliable encoder-decoder architecture that is frequently applied to problems involving sequences to sequences.
- Delving into Attention Mechanism
Recognize the attention mechanism to improve the neural networks' ability to focus on particular input sequences.
- Demystifying Transformer Models and BERT Model
Analyze and explore the Transformer architecture by looking at the Bidirectional Encoder Representations from the Transformers (BERT) model.
- Building Image Captioning Models
Discover how to create picture captioning models using deep learning techniques.
- Introduction to Generative AI Studio
With Generative AI Studio, you can prototype and customize generative AI models for your applications.
