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Updated in [June 30th, 2023]
What skills and knowledge will you acquire during this course?
Participants in this course will acquire skills and knowledge in various areas related to AI. They will gain an understanding of common AI terminology, such as neural networks, machine learning, deep learning, and data science. They will also learn about the capabilities and limitations of AI. Participants will develop the ability to identify opportunities for applying AI within their own organizations. Additionally, they will gain insights into the process of building machine learning and data science projects. The course will provide guidance on working with AI teams and developing an AI strategy within a company. Participants will also learn how to navigate ethical and societal discussions surrounding AI. This course is not limited to non-technical individuals, as engineers can also benefit from learning about the business aspects of AI.
How does this course contribute to professional growth?
The course "AI For Everyone" contributes to professional growth by providing individuals with a comprehensive understanding of AI and its applications. Participants will gain knowledge about common AI terminology, such as neural networks, machine learning, deep learning, and data science. They will also learn about the realistic capabilities and limitations of AI. The course enables individuals to identify opportunities for applying AI within their organizations. Additionally, participants will gain insights into the process of building machine learning and data science projects. The course also covers topics such as working with an AI team, developing an AI strategy, and engaging in ethical and societal discussions related to AI.
Is this course suitable for preparing further education?
The course "AI For Everyone" is suitable for preparing further education. It provides an understanding of common AI terminology, the capabilities and limitations of AI, identifying opportunities to apply AI in an organization, building machine learning and data science projects, working with an AI team, developing an AI strategy, and navigating ethical and societal discussions surrounding AI. This course is not limited to engineers and is beneficial for non-technical colleagues as well.
