10 Free AI Courses by Google for Students – Times of India

Feb 9, 2024
​This course explores large language models (LLMs), which are a type of generative AI that can generate text, translate languages, write different kinds of creative content, and answer your questions in an informative way.​
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​This course dives deeper into generative AI for text, focusing on how to use LLMs to generate different creative text formats, like poems, code, scripts, musical pieces, email, letters, etc., and explore different applications of generative text models.​
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​This course explores generative AI for images, focusing on how to use generative models to create new images, translate images to other styles, and explore different applications of generative image models.​
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​This course is essential for anyone who wants to learn about the ethical implications of AI. The course covers topics such as bias in AI, fairness, accountability, and transparency.​
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​This course teaches you how to build chatbots using Google’s Dialogflow platform. Chatbots are a type of AI that can hold conversations with people. This course is a great way to learn about chatbot development and how to build your own chatbot.​
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​TensorFlow is a popular open-source library for machine learning. This course is a great introduction to TensorFlow, covering the basics of how to use TensorFlow to build and train machine learning models.​
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​This course is designed for people who want to learn about AI but have no prior knowledge of the field. The course covers the basics of AI, including what AI is, how it works, and the impact of AI on society.​
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​This course is a great introduction to generative AI, which is a type of AI that can create new content, such as text, images, or music. The course covers the basics of generative AI, including how it works, different types of generative models, and applications of generative AI.​
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​This course is a fast-paced introduction to machine learning. The course covers the basics of machine learning, including different types of machine learning algorithms, how to use machine learning in different applications, and how to get started with machine learning.​
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This course equips you with the skills to master the encoder-decoder architecture for sequence-to-sequence tasks, delving into areas such as machine translation, text summarisation, and question-answering.
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Jesse
https://playwithchatgtp.com