# Generative AI learning path with 9 FREE courses 

**URL:** <https://onehack.st/t/generative-ai-learning-path-with-9-free-courses/243342>\
**Category:** Tutorials & Methods\
**Tags:** tools\
**Created:** [June 6, 2023, 8:47pm UTC](https://onehack.st/t/generative-ai-learning-path-with-9-free-courses/243342 "2023-06-06T20:47:05Z")\
**Posts on this page:** 2\
**Page:** 1

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**Author:** ![prakash\_singh](https://onehack.st/letter_avatar_proxy/v4/letter/p/b4bc9f/32.png) [@prakash\_singh](https://onehack.st/u/prakash_singh)\
**Post date:** [June 6, 2023, 8:47pm UTC](https://onehack.st/t/generative-ai-learning-path-with-9-free-courses/243342/1 "2023-06-06T20:47:05Z")

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Google has created[Generative AI learning path with 9 FREE courses!](https://www.cloudskillsboost.google/paths/118)

Topics covered:

- Intro to LLMs
- Attention Mechanism
- Image Generation/Captioning
- Intro to Responsible AI

**From the fundamentals of LLMs to creating & deploying generative AI solutions! 🚀**

1️⃣ Introduction to Generative AI:

An introductory level micro-learning course aimed at explaining:

- What Generative AI is
- How it is used
- How it differs from traditional ML

Check this out👇

> **[Introduction to Generative AI | Google Skills](https://www.skills.google/course_templates/536)**
>
> This is an introductory level microlearning course aimed at explaining what Generative AI is, how it is used, and how it differs from traditional machine learning methods. It also covers Google Tools to help you develop your own Gen AI apps.

2️⃣ Introduction to Large Language Models:

The course explores:

- Fundamentals LLMs
- Their use cases
- Prompt engineering on LLMs

Check this out👇

> **[Introduction to Large Language Models | Google Skills](https://www.skills.google/course_templates/539)**
>
> This is an introductory level micro-learning course that explores what large language models (LLM) are, the use cases where they can be utilized, and how you can use prompt tuning to enhance LLM performance. It also covers Google tools to help you...

3️⃣ Introduction to Responsible AI:

The course explains what responsible AI is, why it’s important, and how Google implements responsible AI in their products.

Check this out👇

> **[Introduction to Responsible AI | Google Skills](https://www.skills.google/course_templates/554)**
>
> This is an introductory-level microlearning course aimed at explaining what responsible AI is, why it's important, and how Google implements responsible AI in their products. It also introduces Google's 3 AI principles.

4️⃣ Introduction to Image Generation:

This course introduces diffusion models, a family of ML models that recently showed promise in the image generation space.

Check this out👇

> **[Introduction to Image Generation | Google Skills](https://www.skills.google/course_templates/541)**
>
> This course introduces diffusion models, a family of machine learning models that recently showed promise in the image generation space. Diffusion models draw inspiration from physics, specifically thermodynamics. Within the last few years, diffusion...

5️⃣ Encoder-Decoder Architecture:

This course gives you a synopsis of the encoder-decoder architecture.

It’s a powerful and prevalent machine learning architecture for sequence-to-sequence tasks.

Check this out👇

> **[Encoder-Decoder Architecture | Google Skills](https://www.skills.google/course_templates/543)**
>
> This course gives you a synopsis of the encoder-decoder architecture, which is a powerful and prevalent machine learning architecture for sequence-to-sequence tasks such as machine translation, text summarization, and question answering. You learn...

6️⃣ Attention Mechanism:

The course teaches you how attention works & how it revolutionised:

- machine translation
- text summarisation
- question answering

Check this out👇

> **[Attention Mechanism | Google Skills](https://www.skills.google/course_templates/537)**
>
> This course will introduce you to the attention mechanism, a powerful technique that allows neural networks to focus on specific parts of an input sequence. You will learn how attention works, and how it can be used to improve the performance of a...

7️⃣ Transformer Models and BERT Model:

This course introduces you to some of the most famous and effective transformer architectures!

Check this out👇

> **[Transformer Models and BERT Model | Google Skills](https://www.skills.google/course_templates/538)**
>
> This course introduces you to the Transformer architecture and the Bidirectional Encoder Representations from Transformers (BERT) model. You learn about the main components of the Transformer architecture, such as the self-attention mechanism, and...

8️⃣ Create Image Captioning Models:

This course teaches you how to create an image captioning model by using deep learning.

Check this out👇

> **[Create Image Captioning Models | Google Skills](https://www.skills.google/course_templates/542)**
>
> This course teaches you how to create an image captioning model by using deep learning. You learn about the different components of an image captioning model, such as the encoder and decoder, and how to train and evaluate your model. By the end of...

9️⃣ Introduction to Generative AI Studio:

This course introduces Generative AI Studio, a product on Vertex AI.

It teaches you to prototype and customize generative AI models so you can use their capabilities in your applications.

Check this out👇

> **[Introduction to Vertex AI Studio | Google Skills](https://www.skills.google/course_templates/552)**
>
> This course introduces Vertex AI Studio, a tool to interact with generative AI models, prototype business ideas, and launch them into production. Through an immersive use case, engaging lessons, and a hands-on lab, you’ll explore the...

Bonus: ⭐  
[https://cloud.google.com/blog/topics/training-certifications/new-google-cloud-generative-ai-training-resources](https://cloud.google.com/blog/topics/training-certifications/new-google-cloud-generative-ai-training-resources).

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**Author:** ![Morons\_Ask](https://onehack.st/user_avatar/onehack.st/morons_ask/32/117930_2.png) [@Morons\_Ask](https://onehack.st/u/Morons_Ask)\
**Post date:** [June 7, 2023, 1:42pm UTC](https://onehack.st/t/generative-ai-learning-path-with-9-free-courses/243342/2 "2023-06-07T13:42:27Z")

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Thank you. This is going to keep me busy for a few days. 😁
