About Generative AI

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The Generative AI course offers comprehensive coverage of generative AI concepts, models, best practices, and neural network architectures, including Generative Adversarial Networks (GANs), Variational Encoders (VAEs), and Transformer models. Designed for IT and business professionals, this course emphasizes practical applications of generative AI across diverse business scenarios to drive innovation and value.

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Program Structure  

• 100% online  

• Self-paced  

• 3 modules (30 hours total)  

• Includes video lessons and quizzes  

• Certificate of Completion provided  

 

Modules

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Fundamental Generative AI  

• Business and technology drivers of generative AI

• Benefits, risks, and challenges of generative AI

• Business problem categories addressed by generative AI

• Key models, algorithms, and neural network architectures (GANs, VAE, Transformers)

• Training generative models and building AI systems

• Best practices and types of generative AI

 

Advanced Generative AI  

• Roles of ethical guardians and output translators

• Pre-trained models, transfer learning, and noise/temperature adjustments

• Working with GANs, VAEs, Transformers, and cGANs

• Working with RNNs, LSTM, and large language models (LLMs)

• Natural language processing (NLP) applications

• Model evaluation, optimization, and overfitting avoidance

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Generative AI Lab  

• This module will provide hands-on lab exercises to apply generative AI techniques, including working with GANs, VAEs, Transformers, and large language models.