Generative AI Course

Generative AI Course (3 Modules)

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.

Each module has a set of lessons and is further supplemented with exercises and practice questions to help reinforce your understanding of key topics. Completing this course also prepares you for the official certification exam, as explained on the Generative AI Specialist Certification page.

Further resources are available to assist you with the completion of this course and preparation for the certification exam. These include downloadable digital course PDFs, printed course materials that can be shipped to your location, as well as coaching and instructor-led training services available by Arcitura and its training partner network. You can purchase coaching time on an hourly basis and instructor-led training workshops are available for individuals and groups.

This course is available via two separate eLearning platforms, each of which has different features and benefits. Upon clicking the Enroll button, you will be able to choose the eLearning option that works best for you.

Contact [email protected] with any questions.

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Workbook Lessons

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Video Lessons

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Reference Posters

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Interactive Exercises

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Graded Self-Test

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Completion Certificate

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✱ This course contains all required content to complete all modules. Video lessons are optional supplements that provide an additional medium for studying the workbook lessons that are included in this course. The video lessons for this course are in development and will be published soon. Until then, the course is available at a reduced price. If you purchase the course now, the video lessons will be automatically added to your account as soon as they become available and at no extra charge.

Course Modules

MODULE 04 | Fundamental Generative AI
This course module explores the application of generative AI within a range of business scenarios, and provides fundamental coverage of generative AI concepts, models, best practices, and neural networks, including Generative Adversarial Networks (GANs), Variational Encoders (VAEs) and Transformer models. All of the content is authored in easy-to-understand, plain English.

MODULE 05 | Advanced Generative AI
This course module covers a range of common generative AI networks, models and techniques, including specialized neural networks and practices for managing and optimizing generative AI systems and model training processes. The course module does not cover any mathematical formulas or programming and is intended for general IT professionals.

MODULE 06 | Generative AI Lab
This course module provides a series of case-study driven, lab-style exercises and problems that are designed to test their ability to apply their knowledge of topics covered in previous modules. Completing this lab helps reinforce understanding of preceding topics and further demonstrates how different practices and technologies can be applied together as part of greater solutions.