51ÉçÇø

51ÉçÇø

Associate in Applied Science: Artificial Intelligence & Cloud Computing

Two programmers working together on a project incorporating AI into their workplace.

Study AI and Cloud Computing at 51ÉçÇø

Prepare for a career in the ever-evolving fields of artificial intelligence and cloud computing with this program. The curriculum provides students with a strong theoretical and practical foundation of machine learning, artificial intelligence, and cloud computing. You'll be ready to adapt to the changes in the industry, with classes in natural language processing, Python programming, AWS cloud, and AI applications.

The rapid advancement of artificial intelligence and cloud computing technologies is fundamentally transforming various industries, leading to innovative applications that streamline processes, enhance productivity, and improve decision-making. These developments foster efficiency and create exciting opportunities for professionals eager to leverage technology for meaningful, real-world impact. As businesses increasingly adopt AI-driven solutions and scalable cloud services, there is a growing demand for skilled individuals who can navigate these cutting-edge fields and drive technological progress.

Upon graduation from the program, students will qualify for entry-level and specialist positions in tech, such as AI engineer, cloud architect, or data scientist. They will also be prepared to transfer to a four-year university to earn a bachelor's degree in a related major.

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Planning for your future begins here.
It only takes 20 seconds to get started!

A.A.S. Degree Program Plan

The Artificial Intelligence (AI) and Cloud Computing degree program prepares the graduate with a strong foundation in applied Artificial Intelligence, Machine Learning and Cloud concepts, techniques and applications. Artificial Intelligence is perceiving, synthesizing, and inferring information demonstrated by machines as opposed to intelligence displayed by human beings. Cloud computing is the on-demand availability of computer system resources, especially data storage (cloud storage) and computing power without direct management by the user. Upon successful completion of the program, students will be prepared for jobs in the AI and Cloud sectors.

List of required courses, broken down by semester, to complete the Associate in Applied Science degree in Artificial Intelligence and Cloud Computing.
Number Course Title
First Semester
1
Second Semester
Third Semester
Select one of the following speech communication courses:
Fourth Semester
2
 
1The mathematics requirement for this degree can be met with MTH 101 or higher. See your Program Coordinator about possible course substitutions.
2May substitute SOC 120, SOC 205, SOC 215, SOC 230 or SOC 235

Program Learning Outcomes

  • Apply common artificial intelligence (AI) concepts and methodologies, including neural networks/Deep Learning, machine learning, Natural Language Processing, Computer Vision, and data science, for analysis and decision making.
  • Apply AI project development and machine learning life cycle to address social and business issues, opportunities, and problems.
  • Apply statistical analysis and machine learning algorithms to predict usefulness of artificial intelligence (AI) programming solutions.
  • Use appropriate programming languages to implement artificial intelligence (AI) solutions.
  • Communicate in varied settings, orally and visually and in writing, in a culturally responsive manner.
  • Collaborate with diverse individuals and teams to design and implement artificial intelligence and machine learning solutions.
  • Evaluate issues of bias, culture, environment, ethics, regulations, and professional expectations in the field of artificial intelligence (AI) and machine learning.
  • Apply relevant knowledge and skills, and habits of mind to seek career opportunities in the field.

Related programs

Students interested in Artificial Intelligence and Cloud Computing may also be interested in:

For more information about AI and Cloud Computing courses at 51ÉçÇø, contact Admissions Outreach at 847.925.6700.