Google has recognized the growing demand for expertise in Generative AI and has responded with a groundbreaking initiative. Offering a curated collection of ten free courses, Google aims to empower aspiring AI enthusiasts with the knowledge and skills needed to excel in the world of Generative AI.
Generative AI Basics
This 45-minute course teaches the fundamentals of Generative AI and dives into how you can develop your own Gen AI apps using Google tools.
Understanding Large Language Model
Take 45 minutes to explore use cases, learn about prompt tuning to enhance LLM performance and discover Google tools for developing Gen AI apps.
Responsible AI Overview
Gain insights into responsible AI practices in this introductory-level microlearning course. Understand the importance of responsible AI, discover how Google implements it in their products, and explore Google’s 7 AI principles.
Mastering Generative AI Fundamentals
Earn a skill badge by completing three key courses: Introduction to Generative AI, Introduction to Large Language Models, and Introduction to Responsible AI. Demonstrate your understanding of foundational concepts in Generative AI by passing the final quiz.
Creating Images with Generative AI
Explore diffusion models and their role in image generation in this course. Learn about the theory behind diffusion models, their application in image generation, and how to train and deploy them on Vertex AI.
Encoder-Decoder Architecture
Get a synopsis of the encoder-decoder architecture, a prevalent structure in machine learning. Understand its components and participate in a lab walkthrough to code a simple implementation for poetry generation using TensorFlow.
Attention Mechanism
Dive into the attention mechanism, a powerful technique allowing neural networks to focus on specific parts of an input sequence. Learn how attention improves various machine-learning tasks and its applications in tasks like machine translation and text summarization.
Transformer Models and BERT Model
Understand the Transformer architecture and the Bidirectional Encoder Representations from the Transformers (BERT) model. Explore the self-attention mechanism and learn how BERT is utilized in tasks like text classification and question answering.
Image Captioning Models
Learn to create image captioning models using deep learning. Explore components like the encoder and decoder, and understand how to train and evaluate your model. By the end of the course, you’ll be capable of generating captions for images.
Introduction to Generative AI Studio
Discover Generative AI Studio, a product on Vertex AI, in this course. Learn about its features, options, and how to use it through product demos. Test your knowledge with a quiz at the end.
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