Prior knowledge in ML, deep learning, convolutional neural networks (CNNs), and programming in Python is required to fully benefit from this course. Throughout the course, you will learn the principles behind diffusion models, as well as how to train and utilise them on Vertex AI. Introduction to Image GenerationĪdding to the list of interesting courses, this course is designed to teach you about diffusion models that are responsible for generating images. Prior knowledge in intermediate ML, word embeddings, attention mechanisms, and proficiency in Python and TensorFlow are recommended. Additionally, you will understand various tasks that BERT can be employed for, including text classification, question answering, and natural language inference. This course introduces the key elements of the Transformer architecture, including the self-attention mechanism, and its application in constructing the BERT model. Pre-existing knowledge of ML, deep learning, NLP, computer vision, and Python programming is necessary. It explores how attention can be used to improve machine translation, text summarisation, and question answering, among other tasks. This module focuses on attention mechanisms in deep learning and its applications in enhancing the effectiveness of different ML tasks. Additionally, the module introduces various Google tools that can assist in the development of personalised genAI applications. It also delves into the concept of prompt engineering, which can improve the performance of LLMs. In this course, you will get an overview of large language models (LLMs), their definitions and explaining their potential applications. It also includes information on Google tools that can assist in the creation of your own generative AI applications. This short course of 45-minutes provides an introduction to Generative AI, its applications, and its distinctions from conventional machine learning approaches. Read more: Generative AI is Having An Edison Moment Introduction to Generative AI Recently, Google also introduced free training courses on generative AI that also come with a completion badge. Your newsletter subscriptions are subject to AIM Privacy Policy and Terms and Conditions.
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