{"id":3719,"date":"2024-08-09T10:33:07","date_gmt":"2024-08-09T14:33:07","guid":{"rendered":"https:\/\/www.bridgeport.edu\/news\/?p=3719"},"modified":"2025-01-07T12:35:14","modified_gmt":"2025-01-07T17:35:14","slug":"ai-course-expectations","status":"publish","type":"post","link":"https:\/\/www.bridgeport.edu\/news\/ai-course-expectations\/","title":{"rendered":"What Can Students Expect to Learn in AI Courses?"},"content":{"rendered":"

A common headline topic these days, many are interested in the study of Artificial Intelligence<\/a> and the field’s fascinating future. From personalized shopping recommendations on popular eCommerce sites to smartphone digital assistants, artificial intelligence has changed how we interact and perform tasks in our personal and professional lives.<\/p>\n

Let\u2019s set a definition before we dive in further. Artificial intelligence (AI)<\/a> uses intelligent machines and systems to perform tasks that, in the past, were completed through human intelligence, like playing games or understanding natural language. While we cannot predict the future, it\u2019s necessary to prepare ourselves to understand and utilize artificial intelligence to stay informed of technological advances and sharpen vital skills when entering the workforce.<\/p>\n

Below, you\u2019ll find an overview of what to look for and expect to learn in the AI courses offered in Master of Science in Artificial Intelligence (MS in AI) programs, including core MS AI courses<\/a>, practical skills, and specialized topics that make up the MS in AI curriculum.<\/p>\n

What is a Master\u2019s in Artificial Intelligence?<\/h2>\n

A Master\u2019s in Artificial Intelligence<\/a> (AI) trains specialists who create intelligent machines and systems that perform tasks that would, in the past, have required human intelligence. As such, MS AI classes emphasize AI’s theoretical and practical applications with introductory and advanced MS AI-specific courses and topics.<\/p>\n

Graduates then transfer the knowledge, skills, and training gained in their Master\u2019s in AI classes to pursue careers in technology innovation, robotics, and autonomous vehicles. Graduates also find work with companies creating drones, self-driving cars, or customer behavior prediction.<\/p>\n

Due to the hands-on nature of robotics, Master\u2019s in AI classes and degree programs are typically offered in person instead of online. Additionally, a Master\u2019s degree in Artificial Intelligence usually includes 30 to 50 credits and a capstone course or thesis specific to the student\u2019s chosen concentration.<\/p>\n

What MS AI classes do students take?<\/h2>\n

Enrolling and earning a Master\u2019s in AI degree involves creative thinking and coding to construct advanced AI systems. Through face-to-face instruction, hands-on learning, and web-assisted courses, students will learn coding in programming languages like Python and R, work with AI frameworks, and develop their own AI models.<\/p>\n

Students pursuing an MS in AI<\/a> delve into these theoretical and practical applications with the following MS AI classes. Master\u2019s in AI courses\u2019 descriptions will vary depending on the college or university. The AI course descriptions below are from 越南直播\u2019s online course catalog system<\/a>.<\/p>\n

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Prepare for careers of the future! Download our informational sheet<\/a> today and learn more on how you can get started!<\/em><\/h3>\n

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Computer Vision<\/h3>\n

This project-oriented course is designed to explain computer image display, processing, and various limitations.<\/p>\n

The processing students learn includes:<\/p>\n