Google has created Generative AI learning path with 9 FREE courses!
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! 
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
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Introduction to Large Language Models:
The course explores:
- Fundamentals LLMs
- Their use cases
- Prompt engineering on LLMs
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Introduction to Responsible AI:
The course explains what responsible AI is, why it’s important, and how Google implements responsible AI in their products.
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Introduction to Image Generation:
This course introduces diffusion models, a family of ML models that recently showed promise in the image generation space.
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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.
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Attention Mechanism:
The course teaches you how attention works & how it revolutionised:
- machine translation
- text summarisation
- question answering
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Transformer Models and BERT Model:
This course introduces you to some of the most famous and effective transformer architectures!
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Create Image Captioning Models:
This course teaches you how to create an image captioning model by using deep learning.
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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.
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Bonus: 
https://cloud.google.com/blog/topics/training-certifications/new-google-cloud-generative-ai-training-resources.
