Google AI courses: These free AI courses from Google will make your life better, you will get a certificate in one hour..

In today's era, Artificial Intelligence (AI) is rapidly making its place in every industry, although jobs are under threat due to AI, the truth is that new opportunities are also opening up for professionals who keep pace with AI.

The technological world is changing rapidly and companies are rapidly adopting AI technology. In such a situation, keeping your skills updated is the need of the hour. The good thing is that thousands of free courses are available on the Internet, through which you can enhance your skills. Here we are giving information about 7 free AI courses offered by Google, which can make you an AI expert in less time.

1. Introduction to Large Language Models (LLM)
In this course, you will be told what is LLM, how it works and what are its uses. For example, ChatGPT is also an LLM. In this, you will learn how to do prompt tuning to improve the performance of LLM. This course will help you build your own generative AI app using Google's tools.

Time: Approximately 45 minutes

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2. Introduction to Image Generation

Want to know how AI generates images? This course covers diffusion models, which are the backbone of AI image generation. You will learn how a diffusion model works and how to train and deploy it on Vertex AI.

Time: Approximately 45 minutes

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3. Encoder-Decoder Architecture
This 30-minute course is on the encoder-decoder architecture of machine learning, which is used in tasks like machine translation, text summarization, and question-answering. You will also learn to train models in TensorFlow.

Time: 30 minutes
Certificate: A badge will be given

4. Introduction to Generative AI
If you are a completely new user of generative AI, then this course is a great start for you. It will explain what generative AI is, how it works, and how it is different from traditional machine learning.

Time: 45 minutes
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5. Attention Mechanism
The attention mechanism is a way by which an AI model can focus more on the important parts of its input. This course explains how attention works and what is its role in text summary, translation, and question answering.

Time: 45 minutes
Certificate: A badge will be given

6. Transformer Models and BERT
This course is based on Transformer Models and BERT (Bidirectional Encoder Representations from Transformers). In this, you will learn how self-attention works and how BERT is used.

Time: 45 minutes
Certificate: Badge

7. Create Image Captioning Models
This course will teach you how to create image captioning models. In this, you will learn the role of encoder and decoder in the model that generates text from images and how to train and evaluate it.
Time: 30 minutes
Certificate: Badge

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