In the constantly evolving landscape of Artificial Intelligence (AI), the emergence of Generative Artificial Intelligence has sparked a new wave of innovation and creativity. As AI-powered applications redefine industries and shape our interactions with technology, the need for skilled individuals in Generative AI has reached unprecedented levels. To meet this need, Google has taken a notable initiative by offering a curated selection of free courses to equip AI enthusiasts with the knowledge and skills necessary to excel in the field of Generative Artificial Intelligence.
- Introduction to Generative AI: This beginner-level educational course aims to explain the essence of Generative AI, how to utilize it, and distinguish it from traditional machine learning methods. It also covers the tools provided by Google to assist you in developing your own applications using Generative AI. It is estimated that this course takes about 45 minutes to complete.
- Introduction to Large Language Models: This brief tutorial explores the basics of large language models, their nature, applicable use cases, and how to use command configurations to enhance the performance of large language models. The course also includes Google’s tools to help you develop your own general artificial intelligence applications. Completing this course is estimated to take around 45 minutes.
- Introduction to Responsible AI: This short introductory course aims to explain the nature and importance of Responsible AI, and how Google applies this concept in its products. The course also provides an overview of the seven principles of AI that Google adopts.
- Fundamentals of Generative AI: Earn a skill badge by completing introductory courses in Generative AI, Introduction to Large Language Models, and Introduction to Responsible AI. Successfully passing the final exam will demonstrate your understanding of the core concepts in the field of Generative AI.
- Introduction to Image Generation: This course introduces you to diffusion models, a family of machine learning models that have shown great promise in image generation. Diffusion models draw inspiration from physics, specifically from thermodynamics. In recent years, diffusion models have gained popularity in scientific research and industry. These models form the basis of many image generation models and advanced tools available on Google Cloud. This course acquaints you with the theory behind diffusion models and how to train and deploy them on Vertex AI.
- The Encoder-Decoder Architecture: This training course provides an overview of the Encoder-Decoder architecture, a powerful and common deep learning structure for sequence-to-sequence tasks such as machine translation, text summarization, and question answering. You will learn about the key components of the Encoder-Decoder architecture and how to train and deploy these models. In the accompanying practical work, you will write TensorFlow code to implement a simple Encoder-Decoder architecture for generating poetry from scratch.
- Attention Mechanism: This course will introduce you to the basics of attention mechanism, an effective technique that enables neural networks to focus on parts of the data that are most relevant during the prediction process.
- Transformers Models and BERT Model Course: This course provides an overview of the transformer architecture and the Bidirectional Encoder Representations from Transformers (BERT) model. You will learn about essential elements of the transformer architecture, such as self-attention mechanism, and how it is used in building the BERT model. Additionally, you will explore various tasks the BERT model can be used for, like text classification, question answering, and natural language inference.
- Designing Image Captioning Models Course: This course teaches you how to design a model for generating descriptive captions for images using deep learning techniques. You will learn about components of different image captioning models, such as encoder and decoder, and how to train and evaluate your model. By the end of this course, you will be able to create your own models for image captioning and use them to generate captions for images.
- Introduction to Generative AI Studio: This course introduces you to the Generative AI Studio product, part of Vertex AI, which helps you model and customize generative AI models to leverage their capabilities in your applications. Throughout this course, you will learn what Generative AI Studio is, its features and options, and how to use it through product demonstrations. By the end, you will have a test to assess your knowledge.
Google’s commitment to nurturing the next generation of AI innovators is commendable. Ambitious learners can access these courses at no cost.
Upon completion, Google Cloud rewards you with an “Completion Badge,” certifying your newfound expertise in Generative AI. In an innovation-driven world, these courses provide an entry point to an exciting and rewarding journey in the realm of Generative AI. Therefore, seize the opportunity, embark on this educational journey, and be part of the Generative AI revolution.
