Google's AI School: 10 Free Courses to Supercharge Your Knowledge

#1 Introduction to Generative AI

This course is a brief introduction to Generative AI, explaining its use, differences from traditional ML, and providing insights into Google Tools for Gen AI app development. The estimated completion time is 45 minutes.

#2 Introduction to Large Language Models

An introductory microlearning course exploring large language models, their use cases, and the application of prompt tuning to enhance performance. Similar to the first course, it also involves Google Tools and has an estimated duration of 45 minutes.

#3 Introduction to Responsible AI

This introductory microlearning course covers responsible AI, its importance, and how Google implements it in their products. It introduces Googles 7 AI principles.

#4 Generative AI Fundamentals

Earn a skill badge by completing courses on Introduction to Generative AI, Introduction to Large Language Models, and Introduction to Responsible AI. The final quiz demonstrates understanding of foundational generative AI concepts.

#5 Introduction to Image Generation

This course focuses on diffusion models, a machine learning family inspired by physics, specifically thermodynamics, and their application in image generation. It covers training and deploying these models on Vertex AI.

#6 Encoder-Decoder Architecture

Explains the encoder-decoder architecture, particularly its application in sequence-to-sequence tasks like machine translation. Includes a lab walkthrough for coding a simple TensorFlow implementation for poetry generation.

#7 Attention Mechanism

Introduces the attention mechanism, a powerful technique allowing neural networks to focus on specific parts of an input sequence. Demonstrates its impact on various machine-learning tasks.

#8 Transformer Models and BERT Model

This course introduces the Transformer architecture and the Bidirectional Encoder Representations from Transformers (BERT) model. It covers components like the self-attention mechanism and BERTs application in tasks such as text classification.

#9 Create Image Captioning Models

Teaches the creation of image captioning models using deep learning, covering components like encoder and decoder. Participants learn how to train and evaluate models for generating image captions.

#10 Introduction to Generative AI Studio

This course introduces Generative AI Studio, a product on Vertex AI, providing insights into its features and options. It includes demos and a quiz to test knowledge.