Google just released 10 FREE courses to master Generative AI. ( 4 New Courses🔥)
1. Introduction to Generative AI
This is an introductory-level microlearning course aimed at explaining Generative AI, how it is used, and how it differs.
👉
Thread 🧵 rb.gy/lwbme
1. Introduction to Generative AI
This is an introductory-level microlearning course aimed at explaining Generative AI, how it is used, and how it differs.
👉
Thread 🧵 rb.gy/lwbme
2. Introduction to Large Language Models
This introductory-level microlearning course 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.
👉 rb.gy/ttign
This introductory-level microlearning course 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.
👉 rb.gy/ttign
3. Introduction to Responsible AI
This introductory-level microlearning course explains what responsible AI is, why it's important, and how Google implements responsible AI in its products. It also introduces Google's 7 AI principles
🔗 rb.gy/qvc7a
This introductory-level microlearning course explains what responsible AI is, why it's important, and how Google implements responsible AI in its products. It also introduces Google's 7 AI principles
🔗 rb.gy/qvc7a
4. Generative AI Fundamentals
Earn a skill badge by completing the Introduction to Generative AI, Introduction to LLM, and Introduction to Responsible AI courses.
🔗 rb.gy/nnoxs
Earn a skill badge by completing the Introduction to Generative AI, Introduction to LLM, and Introduction to Responsible AI courses.
🔗 rb.gy/nnoxs
5. Introduction to Image Generation
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.
🔗 rb.gy/toxzlc
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.
🔗 rb.gy/toxzlc
6. Encoder-Decoder Architecture
Learn about the main components of the encoder-decoder architecture and how to train and serve these models.
🔗 t.ly/KVig_
Learn about the main components of the encoder-decoder architecture and how to train and serve these models.
🔗 t.ly/KVig_
7. Attention Mechanism
You will learn how attention works, and how it can be used to improve the performance of a variety of machine-learning tasks, including machine translation, text summarization, and question-answering.
🔗 t.ly/CY1dC
You will learn how attention works, and how it can be used to improve the performance of a variety of machine-learning tasks, including machine translation, text summarization, and question-answering.
🔗 t.ly/CY1dC
8. Transformer Models and BERT Model
You learn about the main components of the Transformer architecture, such as the self-attention mechanism, and how it is used to build the BERT model.
🔗 t.ly/mlqR1
You learn about the main components of the Transformer architecture, such as the self-attention mechanism, and how it is used to build the BERT model.
🔗 t.ly/mlqR1
9. Create Image Captioning Models
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, and how to train and evaluate your model.
t.ly/hnUF-
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, and how to train and evaluate your model.
t.ly/hnUF-
10. Introduction to Generative AI Studio
In this course, you learn what Generative AI Studio is, its features and options, and how to use it by walking through demos of the product.
🔗 shorturl.at/twBW9
In this course, you learn what Generative AI Studio is, its features and options, and how to use it by walking through demos of the product.
🔗 shorturl.at/twBW9
That's a wrap!
If you liked this thread and found it valuable
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Keep Learning with @LearnWithBishal 😊
If you liked this thread and found it valuable
1. Follow me
@LearnWithBishal
for more of these free courses and resources
2. Like
3. Re-Tweet the tweet to share this thread with your audience.
Keep Learning with @LearnWithBishal 😊
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