Getting started with AI starts with these 10 standalone courses from Google

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Google recently released a learning path called the "Generative AI learning path", which is designed for beginners and consists of 10 individual courses. Through this learning path, beginners can start with basic concepts and gradually drill down to more complex topics, helping them understand the basics of generative AI and how to create and deploy generative AI solutions on Google Cloud to solve practical problems. The problem.

1. Introduction to Generative AI〖Introduction to Generative AI〗

Recommendation: Great for beginners, if you are interested in the basic concepts and application scenarios of generative AI, then this course is a good place to start.

2. Introduction to Large Language Models〖Introduction to Large Language Models〗

Recommendation: This course can help you better understand large language models and master how to use them to solve real-life problems.

3. Introduction to Responsible AI〖Introduction to Responsible AI〗

Recommended: This course is required if you are concerned about the impact of AI and want to know how to develop responsible AI products.

4. Introduction to Image Generation〖Introduction to Image Generation〗

Recommended: This course covers the latest hot research directions and can help you understand and practice the basics of image generation.

5. Encoder-Decoder Architecture〖Encoder-Decoder Architecture〗

Recommendation: This commonly used machine learning architecture can be used for many sequence-to-sequence tasks, including machine translation and text summarization. If you are interested in sequence models, this course is for you.

6. Attention Mechanism〖Attention Mechanism〗

Recommendation: Attention is an important technique for enhancing reading and comprehension. This course is suitable for those who want to understand the attention mechanism in depth.

7. Transformer Model and BERT Model〖Transformer Models and BERT Model〗

Recommendation: As one of the most popular natural language processing tools, learning Transformer and BERT models is essential.

8. Create an image description model〖Create Image Captioning Models〗

Recommended: This course will equip you to understand and develop state-of-the-art computer vision techniques by mastering how to create image description models using deep learning techniques.

9. Introduction to Generative AI Studio〖Introduction to Generative AI Studio〗

Recommended: This course is for those who want to learn how to rapidly prototype and customize AI models by using Generative AI Studio on Google Cloud.

10. Generative AI Exploration〖Generative AI Explorer - Vertex AI〗

Recommended: Based on the Vertex Quest experiment, this course introduces how to use generative AI on Google Cloud. If you have some programming experience, this course will provide you with a lot of practical experience.

Address: Google Cloud Skills Boost
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Origin blog.csdn.net/weixin_40425640/article/details/131067749