Artificial intelligence is a field that is used in many sectors and fields today and is seen as the technology of the future. Artificial intelligence means computer systems that imitate human intelligence and learn from data. This technology helps people with their work, speeds up decision making and increases productivity.
Google is one of the world’s leading companies in artificial intelligence. Developing many products and services related to artificial intelligence, the company is rapidly researching and innovating in this field. Google also attaches great importance to artificial intelligence education and offers various free resources to those who want to improve themselves in this field.
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 major language models
- attention mechanism
- Transformer model and BERT model
- Introduction to image creation
- Creating image capture models
- Encoder – Decoder architecture
The courses featured in this blog post by Priyanga Vergadia are a great opportunity for anyone who wants to improve themselves in the field of artificial intelligence and gain a competitive advantage in business. Whether you’re a student, employee or entrepreneur, these courses offer you basic and advanced knowledge of 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 develop your own productive AI applications.”
Introduction to major language models
“This course provides an introductory introduction to what major language models (LLM) are, how they can be used, and how quick tuning can be used 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, text summarization, and question answering.”
Transformer model and BERT model
“This course introduces the Transformer architecture and the Bidirectional Encoder Representations (BERT) model from Transformers. This course teaches the main components of the Transformer architecture, such as the self-attention mechanism, and how it is used to build 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 machine learning models for rendering, and describes the theory behind diffusion models and how to train and deploy these models on Vertex AI.”
Creating image capture models
“This course teaches how to create a caption model using deep learning. You’ll learn about the different components of an image captioning model, such as an encoder and decoder, and how to train and evaluate your model. At the end of this tutorial, you’ll be able to create your own image commands.”
Encoder – Decoder architecture
“This course gives you a sketch of the encoder-decoder architecture required for tasks such as machine translation, text summarization, and question answering. You can learn how to train that architecture in a hands-on manner.”
Thanks to these 1-day courses, you will be introduced to artificial intelligence regardless of the field you work in.
If you wish, after these introductory artificial intelligence courses, you can also take a look at these other courses on artificial intelligence/machine learning of Google Cloud:
- How does Google do machine learning?
- MLOps: Getting 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 complete these courses, you will learn the basic terms and concepts of artificial intelligence, see how artificial intelligence models are created and trained, see examples of how artificial intelligence is used in real life, and gain awareness of the ethical and social responsibility dimensions of artificial intelligence.
These courses are offered free of charge and anyone can join. To enroll in courses, all you have to do is log in with your Google account. You can complete the courses whenever and wherever you want. When you finish the courses, you can get a certificate.
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