Artificial Intelligence IT Certificate
Virtual assistants. Shopping recommendations. Fraud detection. Artificial Intelligence (AI) is already a part of daily life. AI allows computers to automate complex decision-making processes, and this technology is driving rapid innovation in almost every industry.
Employers need professionals who can apply AI and machine learning technology innovatively.
If you’re ready to enhance your career, Columbus State Community College’s 30-week Artificial Intelligence certificate program is a flexible, noncredit program designed
to equip you with the in-demand AI skills employers need today, whether you're aiming
to grow in your current role or exploring
a new opportunities in emerging tech.
Program Schedule: We are currently working on dates for the next program offering.
Total Program Cost: $2,600
Tuition payment due upon registration for each course.
Students are expected to have some experience working with data.
What You’ll Learn:
Our 30-week program will provide you with an overview of AI and machine learning tools and techniques. You will gain expertise in applying Computer Vision, Generative AI, and Natural Language Processing tools in combination with mathematical, statistical, and logical reasoning skills. A final capstone project and learning portfolio will provide you with opportunities to demonstrate mastery in these tools and techniques by applying them to a real-world problem.
Foundation Courses
6 weeks
This course introduces the basic uses of artificial intelligence with both practical
examples and software coding tutorials. Students will explore technical, moral, ethical,
regulatory, and professional considerations related to AI in this introductory course.
The course also includes hands-on experience with low-code and no-code tools to help
learners understand core AI concepts, including machine learning, deep learning, and
various types of AI models.
6 weeks
The first course in the Machine Learning series introduces students to Python applications
in data acquisition, supervised and unsupervised learning, and in-depth data modeling.
Students will learn through practical examples and labs using a combination of software
code, low code, and no-code tools.
6 weeks
The second course in the Machine Learning series introduces students to additional
concepts in machine learning algorithms, including reinforcement learning and neural
networks, deep learning, and a larger machine learning group project.
Core Course
12 weeks
This course prepares you to work with Natural Language Processing (NLP) models and
tools in real-world applications of such technology. Students first learn how to explain
how to acquire, curate, visualize, and build pipelines for natural language models
such as the technologies behind large language models.