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In this Understanding Generative AI and Its Business Applications course, you’ll learn how this powerful tool goes beyond traditional AI to create new content and solve complex business challenges. You’ll start by understanding what makes generative AI different, including how it produces original content like images, text, and software code based on learned data patterns.
Then, this course will acquaint you with the three major generative AI model types—GANs, VAEs, and Transformers. You’ll also explore how they’re used in fields like healthcare, finance, and marketing with the aid of practical examples. As you study these capabilities, you’ll also examine the risks of opting for generative AI, including bias, security gaps, and implementation issues.
By the end of this course, you’ll understand how to identify opportunities for generative AI in your organization and how to use it responsibly to support business growth and innovation.
You will learn how generative AI differs from traditional AI, how it produces original content like images, text, and software code, the three major model types (GANs, VAEs, and Transformers), how generative AI is used in fields like healthcare, finance, and marketing, and how to assess its risks and apply it to business processes.
The course covers three major generative AI model types: GANs, VAEs, and Transformers, and explains their unique capabilities.
The course examines risks of opting for generative AI, including bias, security gaps, data misuse, and implementation or technical limitations.
It builds skills in Business Operations, Generative Artificial Intelligence, and Probabilistic Risk Assessments.
The course includes lessons such as Introduction to Generative AI, Types of Generative AI Models, Industry Applications of Generative AI, and Navigating Generative AI Challenges and Real-World Business Impacts, along with Test Your Knowledge checks.