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!

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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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