Artificial Intelligence Advanced Certificate (Online Program)

Study at your own pace online
(F-1 students are not eligible for Advanced Certificate programs)

Program Overview: Online Advanced Certificate in Artificial Intelligence

• Designed to provide a strong foundation in Artificial Intelligence and Machine Learning.
• No master’s degree required for admission.
• Ideal for:
  • Career changers
  • Professionals looking to upskill with an advanced credential
  • Individuals pursuing AI-related certifications
• 3-course program offering targeted, high-impact learning.
• Students earn a Advanced Certificate upon completion.
• Courses selected to ensure a well-rounded AI education.
• Prepares students for professional certifications in AI and Machine Learning.

Mode of Delivery for AI Courses

• Delivered via Canvas Learning Management System (LMS).
• Structured into learning modules:
  • Assigned readings
  • Recorded video lectures or narrated slides
  • Discussion boards and peer interaction
  • Assignments, quizzes, or projects
• Flexible log-in schedule to accommodate work and life balance.
• Expectations and due dates clearly outlined in both the syllabus and module.

Artificial Intelligence Advanced Certificate Courses

MAIN 610

AI Principles and Practice

This course explores the fundamentals of Artificial Intelligence (AI), emphasizing ethical considerations and practical application. Students will explore foundational AI concepts—including machine learning, natural language processing, and intelligent systems—while examining their implications across industries such as healthcare, finance, education, and government. No technical background is required; the course is designed to build practical fluency in AI concepts and decision-making for professionals across domains.

3 Credits

MAIN 620

The Practice of Generative AI

This course focuses on the practical implementation of generative artificial intelligence, emphasizing the operational skills required to leverage these tools effectively in professional settings. Students will develop expertise in prompt engineering and retrieval augmented generation (RAG), learn frameworks for evaluating the performance and reliability of generative AI outputs, learn how fine-tuning can be used to improve performance for specific applications, and explore best practices for integrating generative models into existing workflows and systems.

3 Credits

MAIN 622

AI for Predictive Analytics

This course is designed for students to master the art and science of classifying data and predicting trends. Students will learn statistical methods, data mining, and advanced analytics, using innovative machine learning tools and platforms to forecast outcomes in various domains. The course emphasizes applications, including how to effectively collect, analyze, and interpret data, and students develop a keen understanding of model assessment and selection to inform strategic decisions.

Prerequisite: MBAN 503 or equivalent
3 Credits

Preparatory Courses

Students with insufficient background in computer science or information systems degree, will be required to complete some or all of these courses:

MDAN 608

Introduction to Programming (Python)

This course introduces core programming basics—including data types, control structures, algorithm development, and program design with functions—via the Python programming language. The course discusses the fundamental principles of Object-Oriented Programming, as well as in-depth data and information processing techniques. Students will problem solve, explore real-world software development challenges, and create practical and contemporary applications using graphical user interfaces, graphics, and network communications.

3 Credits

MBAN 503

Introduction to Statistics

This course is structured to enable students to develop and increase their competence in the broad area of statistics and quantitative analysis. Each PowerPoint module will provide definition of terms, the statistics, examples of applied usage & its interpretation. External readings and audiovisual recordings of key concepts will also be required.

1 Credits