Generative AI is a type of artificial intelligence that can generate new content, such as text, images, audio, and synthetic data, by leveraging extensive data and sophisticated algorithms. It has a wide range of applications, from education and entertainment to customer service and research. However, it also presents ethical, social, and security challenges.
To delve deeper into the realm of generative AI and learn how to use it responsibly and effectively, Google is offering a series of free online courses. These courses will take you on an exciting journey, starting from the basics of large language models (LLMs) and progressing to the creation and implementation of generative AI solutions on Google Cloud. The courses cater to learners of varying levels and backgrounds, accommodating everyone from beginners to experts, developers to business leaders. By completing the courses, you can quickly acquire new skills and earn badges that showcase your knowledge and expertise.
The courses themselves are interactive and engaging, employing a variety of learning materials such as videos, articles, labs, and quizzes. Here are the nine free generative AI courses presented by Google:
1. Introduction to Generative AI: Gain an overview of generative AI and understand its distinctions from traditional machine learning methods. Explore the different types and applications of generative AI, as well as the advantages and challenges associated with its usage.
2. Introduction to Large Language Models (LLMs): Familiarize yourself with LLMs, powerful generative AI models capable of text classification, generation, question answering, and document summarization. Learn about the architecture and components of LLMs, as well as how to use prompt tuning to customize their outputs.
3. Introduction to Responsible AI: Delve into the ethical and social implications of generative AI and other AI forms. Dive into the principles and practices of responsible AI, including concepts like fairness, privacy, accountability, and transparency. Additionally, understand the tools and frameworks available for assessing and mitigating AI-related risks.
4. Introduction to Image Generation: Discover how generative AI can produce realistic and diverse images through data and models. Explore various types and techniques of image generation, such as variational autoencoders (VAEs) and generative adversarial networks (GANs). Learn how to leverage image generation for purposes such as data augmentation, style transfer, and face synthesis.
5. Encoder-Decoder Architecture: Understand the workings of encoder-decoder architecture in generative AI models. Explore the roles and functions of both encoders and decoders, as well as how they communicate through latent spaces. Gain insights into using encoder-decoder architecture for tasks like image captioning, machine translation, and text summarization.
6. Attention Mechanism: Explore the concept and types of attention mechanisms in generative AI models. Delve into self-attention and cross-attention mechanisms and their potential to enhance the performance and efficiency of generative AI models by focusing on relevant information.
7. Transformer Models and BERT Model: Get introduced to transformer and BERT models, state-of-the-art generative AI models built upon attention mechanisms. Familiarize yourself with the structure and features of these models and learn how to utilize them in different natural language processing tasks such as sentiment analysis, question answering, and text generation.
8. Create Image Captioning Models: Learn how to create image captioning models using encoder-decoder architecture and attention mechanisms. Discover how to employ the Google Cloud Vision API to extract image features, use ChatGPT to generate captions based on those features, and evaluate the quality of captions using metrics like the BLEU score.
9. Deploy Generative AI Solutions on Google Cloud: Acquire the skills to deploy generative AI solutions on Google Cloud through a range of tools and services, including Cloud Storage, Cloud Functions, Cloud Run, Cloud Build, Cloud Shell, Cloud SDK, Cloud Console, and Cloud APIs Explorer. Develop a serverless web application that can generate captions for user-uploaded images.
Generative AI is an exciting technology that can create novel content with the help of data and algorithms. While it offers numerous possibilities, it also poses risks and challenges. By enrolling in Google’s free generative AI courses, you can obtain the knowledge and expertise necessary to navigate this field and become a generative AI expert.
