The Cloud AI Technology & Automation course is comprised of two modules that introduce essential AI-related cloud infrastructure, as well as concepts and technologies associated with cloud-based predictive and generative AI systems.

The Cloud AI Architecture course consists of five modules that cover the technology architecture of cloud-based AI systems, including cloud automation and infrastructure relevant to AI processing.

The Generative AI course is comprised of three modules that provide essential coverage of generative AI concepts, technology and practices, including the use of neural networks (GANs, VAEs, Transformers), Explainable AI and Transfer Learning.

The AI Engineering course is comprised of five modules that provide coverage of AI engineering topics, including a neural network design, as well as model training and data processing for predictive and generative AI models.

The AI Architecture course is comprised of five modules that provide coverage of AI technology architecture topics, including system design, distributed AI computing, as well as scalability and reliability infrastructure.

The AI Professional Consulting course consists of four modules that provide essential coverage of the most important topics associated with predictive AI, generative AI, as well as basic AI engineering and architecture.

The NLP Engineering course consists of three modules that provide in-depth coverage of natural language processing, including NLP linguistics, text preprocessing and normalization and semantic analysis techniques.