1. Introduction to Large Language Models:
This course explores what large language models are, their use cases, and how to enhance their performance.
https://lnkd.in/eBVdss4T
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2. Introduction to Generative AI:
An introductory course explaining the nature, uses, and differences of Generative AI from traditional machine learning methods.
https://lnkd.in/ee4gxDvT
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3. Generative AI Fundamentals:
Earn a skill badge by demonstrating your understanding of foundational concepts in generative AI.
https://lnkd.in/erJaqDCK
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4. Introduction to Responsible AI:
Learn what Responsible AI is, why it’s essential, and how Google implements it in its products.
https://lnkd.in/eUcqfz_r
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5. Encoder-Decoder Architecture:
Learn about the encoder-decoder architecture, a critical component of machine learning for sequence-to-sequence tasks.
https://lnkd.in/euqrJZz6
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6. Introduction to Image Generation:
This course introduces diffusion models, a promising family of machine learning models in the image generation space.
https://lnkd.in/eDS2Af4y
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7. Transformer Models and BERT Model:
A comprehensive introduction to the Transformer architecture and the Bidirectional Encoder Representations from the Transformers (BERT) model.
https://lnkd.in/e4nyJJZG
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8. Attention Mechanism:
This course introduces the attention mechanism, which allows neural networks to focus on specific parts of an input sequence.
https://lnkd.in/eJayUv5K
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9. Introduction to Generative AI Studio:
This course introduces Generative AI Studio, a product of Vertex AI, guiding users on how to prototype and customize generative AI models.
https://lnkd.in/eZ5pWUqA
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10. Create Image Captioning Models:
Learn how to create an image captioning model using deep learning techniques.
https://lnkd.in/ewJFAfb7
This course explores what large language models are, their use cases, and how to enhance their performance.
https://lnkd.in/eBVdss4T---
2. Introduction to Generative AI:
An introductory course explaining the nature, uses, and differences of Generative AI from traditional machine learning methods.
https://lnkd.in/ee4gxDvT---
3. Generative AI Fundamentals:
Earn a skill badge by demonstrating your understanding of foundational concepts in generative AI.
https://lnkd.in/erJaqDCK---
4. Introduction to Responsible AI:
Learn what Responsible AI is, why it’s essential, and how Google implements it in its products.
https://lnkd.in/eUcqfz_r---
5. Encoder-Decoder Architecture:
Learn about the encoder-decoder architecture, a critical component of machine learning for sequence-to-sequence tasks.
https://lnkd.in/euqrJZz6---
6. Introduction to Image Generation:
This course introduces diffusion models, a promising family of machine learning models in the image generation space.
https://lnkd.in/eDS2Af4y---
7. Transformer Models and BERT Model:
A comprehensive introduction to the Transformer architecture and the Bidirectional Encoder Representations from the Transformers (BERT) model.
https://lnkd.in/e4nyJJZG---
8. Attention Mechanism:
This course introduces the attention mechanism, which allows neural networks to focus on specific parts of an input sequence.
https://lnkd.in/eJayUv5K---
9. Introduction to Generative AI Studio:
This course introduces Generative AI Studio, a product of Vertex AI, guiding users on how to prototype and customize generative AI models.
https://lnkd.in/eZ5pWUqA---
10. Create Image Captioning Models:
Learn how to create an image captioning model using deep learning techniques.
https://lnkd.in/ewJFAfb7