Google A set of courses Artificial Ielligence Training Face Free It has published that we will iroduce 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 Ielligence Training Course
These courses, which include a variety of topics such as generative AI, large linguistic models (LLM), responsible artificial ielligence, and image production, are designed in simple and short tutorials:
First period: “General AI familiarity”
This course helps you to get acquaied with the concept of productive artificial ielligence; The same technology that can produce coe 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 ielligence apps with Google tools.
Second Period: “Iroduction to Long Language Models (LLM)”
In this period you will be iroduced to large language models that are the core of modern artificial ielligence models. These models analyze and process user commands to provide appropriate answers. This course is also short and in 45 minutes, it iroduces 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 ielligence developme. During that you learn how artificial ielligence can be designed without orieation and with respect to human values. The course also iroduces Google’s seven principles of artificial ielligence.
The fourth period: “Iroduction to Image Production”
This course iroduces image production models, especially diffusion models. Inspired by physics, these models have been very successful in producing quality images in rece years. This course is very suitable for people who are ierested in creating artificial ielligence images.
Fifth Period: “Encoder-Dicoder Architecture”
In this course, you will be iroduced to the Estoder-Dicker architecture, which is used to encrypt and decrypt data on the Iernet. In the field of artificial ielligence training, this technology helps maiain 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 iroduced in 2018. Bert helps artificial ielligence to analyze the text comprehensively. This course is very useful for people who are ierested in coe analysis and natural language processing.
Seveh Period: “Creating Subtitle Models”
This course will teach you how to create models with artificial ielligence that analyze and produce subtitles for images. This technology helps artificial ielligence to “read” images and will have extensive uses in the future.
Eighth Period: “Iroduction to Google Vertex Artificial Ielligence Studio”
During this period you will be iroduced to the Google -productive artificial ielligence 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.
