Digital Transformation Intelligent Automation Course

Digital Transformation: Advanced Intelligent Automation Course (2 Modules) Pre-Order

The Digital Transformation: Advanced Intelligent Automation course is comprised of two modules that cover advanced Artificial Intelligence (AI) and Robotic Process Automation (RPA) topics to explore the creation of integrated Intelligent Automation (IA) environments.

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 Digital Transformation Intelligent Automation 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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Course Modules

MODULE 14 | Advanced AI
Covers a series of practices for preparing and working with data for training and running contemporary AI systems and neural networks. It further provides techniques for designing and optimizing neural networks, including approaches for measuring and tuning neural network model performance.

MODULE 18 | Advanced RPA & Intelligent Automation
Explores the relationship between artificial intelligence (AI) and RPA and describes how these technologies can be combined to establish intelligence automation (IA) environments. The module covers different types of autonomous decision-making and further extends the usage scenarios from Module 17 by incorporating AI systems as part of intelligent automation solutions.