Artificial intelligence is used in many industries and fields today. future technology viewed as an area. Artificial intelligence means computer systems that mimic human intelligence and learn from data. This technology is for people helps in their work, speeds up decision making and increases efficiency.

Google is one of the world’s leading artificial intelligence companies. The company develops many products and services related to artificial intelligence and is rapidly researching and innovating in this field. Google also attaches great importance to education in the field of artificial intelligence. It offers free resources to those who want to improve themselves..

Google Cloud introduced 7 free courses for people to improve themselves in artificial intelligence in a blog post

• Introduction to productive artificial intelligence
• Introduction to the main language models
• attention mechanism
• Transformer model and BERT model
• Introduction to image creation
• Create image capture models
• Encoder – Decoder architecture

The courses in this blog post from Priyanga Vergadia are a great opportunity for anyone who wants to improve themselves in the field of Artificial Intelligence and gain a competitive edge in business. Whether you are a student, employee or entrepreneur, these courses are for you. Provides basic and advanced knowledge about artificial intelligence:

Introduction to productive artificial intelligence

“This is an introductory microlearning course that aims to explain what Generative AI is, how it is used, and how it differs from traditional machine learning methods. It also covers Google Tools to help you build your own productive AI applications to develop.”

Introduction to the main language models

“This course provides an introductory introduction to what major language models (LLM) are, how to use them, and how to use rapid tuning to improve LLM performance.”

attention mechanism

“This course discusses the Mechanism of Attention, a powerful technique that allows neural networks to focus on specific parts of an input sequence. It teaches how attention works and how it can be used to improve the performance of various machine learning tasks, such as machine translation. improving. , summarizing the text and answering questions.”

Transformer model and BERT model

“This course introduces the Transformer architecture and the Bidirectional Encoder Representations (BERT) model of Transformers. This course teaches the key components of the Transformer architecture, such as the self-attention mechanism, and how it is used to construct the BERT model. information is also given about the different tasks that can be used.

Introduction to image creation

“This course introduces diffusion models, a family of recently promising display machine learning models, and describes the theory behind diffusion models and how to train and deploy these models on Vertex AI.”

Create image capture models

“In this course, you will learn how to create a caption model using deep learning. You will learn about the different components of an image caption model, such as an encoder and decoder, and how to train and evaluate your model. By the end of this tutorial, you will be you can create your own image commands.”

Encoder – Decoder architecture

“This course will give you an outline of the encoder-decoder architecture needed for tasks like machine translation, text summarization, and question answering. You can learn how to train that architecture in a hands-on way.”

Thanks to these 1-day courses, you will become acquainted with artificial intelligence, regardless of the field in which you work.

If you prefer, after these introductory artificial intelligence courses, you can also check out these other Google Cloud artificial intelligence/machine learning courses:

• How does Google do machine learning?
• MLOps: get started
• Get started with TensorFlow on Google Cloud
• Perform basic machine learning, AI, and data tasks on Google Cloud
• Language, speech, text and translation with Google Cloud APIs

When you have completed these courses, learns the basic terms and concepts related to artificial intelligenceYou will see how artificial intelligence models are created and trained, you will see examples of how artificial intelligence is used in real life, and you will become aware of the ethical and social responsibility dimensions of artificial intelligence.

These courses are offered free of charge and anyone can join. Everything you need to do to register for courses Sign in with your Google account. You can take the courses wherever and whenever you want. When you have completed the courses, you can get a certificate.