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Jun 14, 2023, 12 tweets

Google is making AI education FREE for everyone.

The world of AI can be complicated, but education is becoming more readily available.

Here are 10 courses you don't want to miss:

1. Introduction to Generative AI

In this course, you'll learn what Generative AI is, how it is used, and how it differs from traditional machine-learning methods.

Expected completion: 45 minutes

cloudskillsboost.google/course_templat…

2. Introduction to Large Language Models

In this course, you'll learn what large language models (LLM) are, their use cases, and how you can use prompt tuning to enhance performance.

cloudskillsboost.google/course_templat…

Expected completion: 45 minutes

3. Introduction to Responsible AI

In this course, you'll learn what responsible AI is, why it's important, and how Google implements responsible AI in its products.

It also introduces Google's 7 AI principles.

cloudskillsboost.google/course_templat…

4. Generative AI Fundamentals

In this set of courses, you'll get an Introduction to Generative AI, Introduction to Large Language Models, and Introduction to Responsible AI courses.

cloudskillsboost.google/course_templat…

5. Introduction to Image Generation

In this course, you'll learn the theory behind diffusion models and how to train and deploy them on Vertex AI.

cloudskillsboost.google/course_templat…

6. Encoder-Decoder Architecture

In this course, you'll get a synopsis of a powerful and prevalent machine-learning architecture for sequence-to-sequence tasks such as machine translation, text summarization, and question-answering.

cloudskillsboost.google/course_templat…

7. Attention Mechanism

In this course, you'll learn how attention works and improving the performance of a variety of machine learning tasks, including machine translation, text summarization, and question answering.

Estimated completion: 45 minutes

cloudskillsboost.google/course_templat…

8. Transformer Models and BERT Model

In this course, you'll learn about the different tasks that BERT can be used for, such as text classification, question answering, and natural language inference.

cloudskillsboost.google/course_templat…

9. Create Image Captioning Models

In this course, you'll learn about the different components of an image captioning model, such as the encoder and decoder, and how to train and evaluate your model.

cloudskillsboost.google/course_templat…

10. Introduction to Generative AI Studio

In this course, you'll learn what Generative AI Studio is, its features and options, and how to use it by walking through demos of the product.

cloudskillsboost.google/course_templat…

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