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Artificial Intelligence (AI) Course (3 Module Bundle)

The Artificial Intelligence (AI) course is comprised of three modules that introduce AI concepts and common applications, and then provide essential coverage of AI concepts, practices, models and systems, as well as coverage of neural networks.

Each module has a set of lessons and is further supplemented with exercises to help reinforce your understanding of specific topics. Upon completing the course, you can proceed to take an online self-test. After passing the self-test you will receive an official digital Certificate of Completion and will also be provided with the option to order a digital Training Badge from Acclaim/Credly. Passing the self-test also prepares you for the official certification exam, as explained on the Artificial Intelligence Specialist Certification page. A separate Exam Prep Kit with more sample questions can also be ordered.

Further resources are available to assist you with the completion of this course and preparation of the certification exam. These include downloadable digital course PDFs, printed course materials that can be shipped to your location, as well as access to the course materials via a feature-rich eLearning environment.

Coaching and instructor-led training services available by Arcitura and its training partner network. You can purchase coaching time on an hourly basis using this platform. Instructor-led workshops are also available for individuals and groups of participants.

Contact [email protected] with any questions.

Program:
Next-Gen Data Science Academy

Prerequisites:
None

Duration:
30 hours

Corresponding Certification:
Artificial Intelligence Specialist


Enroll

Workbook Lessons


Video Lessons


Reference Posters


Interactive Exercises


Graded Self-Test


Completion Certificate


Course Modules

MODULE 10 | Fundamental Artificial Intelligence
Essential coverage of Artificial Intelligence and neural networks in easy-to-understand, plain English. The course provides concrete coverage of the primary parts of AI, including learning approaches, functional areas that AI systems are used for and a thorough introduction to neural networks, how they exist, how they work and how they can be used to process information. The course further establishes a step-by-step process for assembling an AI system.

MODULE 11 | Advanced Artificial Intelligence
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 12 | Artificial Intelligence Lab
Provides a series of exercises and problems designed to test your ability to apply your knowledge of topics covered in previous course modules. Completing this lab will help highlight areas that require further attention and will further prove proficiency in AI systems and neural network architectures, as they are applied and combined to solve real-world problems.