Google A set of courses Artificial Intelligence Training Face Free It has published that we will introduce them to you. All of these courses are also available from inside Iran, but are accessible due to sanctions and other problems through IP change tools.
8 Google Free Artificial Intelligence Training Course
These courses, which include a variety of topics such as generative AI, large linguistic models (LLM), responsible artificial intelligence, and image production, are designed in simple and short tutorials:
First period: “General AI familiarity”
This course helps you to get acquainted with the concept of productive artificial intelligence; The same technology that can produce content such as text, image, or more by receiving text commands. This short and simple period is designed and completed in about 45 minutes. You also learn how to build your artificial intelligence apps with Google tools.
Second Period: “Introduction to Long Language Models (LLM)”
In this period you will be introduced to large language models that are the core of modern artificial intelligence models. These models analyze and process user commands to provide appropriate answers. This course is also short and in 45 minutes, it introduces you to the applications and methods of improving these models.
Third Period: “Responsible AI)”
This course focuses on the importance of impartial and responsible artificial intelligence development. During that you learn how artificial intelligence can be designed without orientation and with respect to human values. The course also introduces Google’s seven principles of artificial intelligence.
The fourth period: “Introduction to Image Production”
This course introduces image production models, especially diffusion models. Inspired by physics, these models have been very successful in producing quality images in recent years. This course is very suitable for people who are interested in creating artificial intelligence images.
Fifth Period: “Encoder-Dicoder Architecture”
In this course, you will be introduced to the Estoder-Dicker architecture, which is used to encrypt and decrypt data on the Internet. In the field of artificial intelligence training, this technology helps maintain user information security and is used in areas such as machine translation and text summary.
Sixth period: “Transformer and Bert Models”
This course deals with the Bert model, which Google introduced in 2018. Bert helps artificial intelligence to analyze the text comprehensively. This course is very useful for people who are interested in content analysis and natural language processing.
Seventh Period: “Creating Subtitle Models”
This course will teach you how to create models with artificial intelligence that analyze and produce subtitles for images. This technology helps artificial intelligence to “read” images and will have extensive uses in the future.
Eighth Period: “Introduction to Google Vertex Artificial Intelligence Studio”
During this period you will be introduced to the Google -productive artificial intelligence studio and learn how to use its features and tools to develop your projects. This course includes demos for better understanding how to work with this studio.
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