Google Generative AI Foundations

Google has created a Generative AI learning path with 9 FREE courses!
Topics cover:
– 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
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2️⃣ Introduction to Large Language Models:
The course explores:
– Fundamentals LLMs
– Their use cases
– Prompt engineering on LLMs
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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.
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4️⃣ 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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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.
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6️⃣ Attention Mechanism:
The course teaches you how attention works & how it revolutionised:
– machine translation
– text summarisation
– question answering
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7️⃣ Transformer Models and BERT Model:
This course introduces you to some of the most famous and effective transformer architectures!
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8️⃣ Create Image Captioning Models:
This course teaches you how to create an image captioning model by using deep learning.
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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.
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