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Artificial Intelligence Machine Learning Specialist | 蜜桃AV

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Artificial Intelligence Machine Learning Specialist

Artificial Intelligence & Machine Learning Specialist

Overview

蜜桃AV Offered:听Program Certificate
Program Begins:听贵补濒濒
Delivery Method:听Online, On Campus
Phone:听701-224-5486
Email:听bsc.cet@bismarckstate.edu

Description

The Artificial Intelligence & Machine Learning Specialist Certificate coursework includes cybersecurity principles, computer programming, math, and statistics. Artificial Intelligence and Machine Learning focus on building machine learning models to predict, make decisions, and enhance human capabilities. The curriculum introduces artificial intelligence and machine learning, natural language processing, computer vision, and artificial intelligence for business solutions and other applications. This certificate would be valuable for students already enrolled in another degree program or industry.

Preparation

This certificate is intended for students who have already completed the or have a strong background in mathematics, computer programming, and cybersecurity.

Requirements

Students who complete the curriculum requirements receive a Program Certificate听in Artificial Intelligence and Machine Learning Specialist.

Program Pathways

Credits from the Artificial Intelligence and Machine Learning Specialist certificate may stack into the following Associate of Applied Science degree:


Credits from the Artificial Intelligence and Machine Learning Associate in Applied Science may stack into the following Bachelor of Applied Science degree:

Career Opportunities

Students completing this certificate are prepared to enter the workforce in various fields using artificial intelligence, including information technology, automotive, healthcare, aerospace, industrial, and manufacturing.听

Degree Plans

Program Learning Outcomes

Upon graduation, Artificial Intelligence and Machine Learning Specialist students will be able to:

  • Identify issues inherent with the use of artificial intelligence, including ethics, bias, culture, regulations, and professional expectations.
  • Incorporate machine learning concepts into student projects, including data acquisition, supervised and unsupervised learning, and data modeling.
  • Create a language recognition application using natural language processing (NLP) and text processing.
  • Apply the basic techniques for image processing using OpenCV and Python libraries. Tasks will include Image Classification and Object Detection.
  • Use artificial intelligence and machine learning concepts to create business solutions.