Study at your own pace online (asynchronously)
STEM-Certified Program
Program Overview: Asynchronous 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 micro-badge 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
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MAIN 610
AI Principles and Practice
- This course explores the fundamentals of Artificial Intelligence (AI), emphasizing ethical considerations and practical applications across diverse sectors. Participants will gain essential AI knowledge, learn to evaluate ethical dilemmas, and enhance their ability to implement AI strategies in real-world scenarios, fostering innovative and ethical problem-solving skills.
3 Credits -
MAIN 620
The Practice of Generative AI
- Operational aspects of generative artificial intelligence, focusing on the art of prompt engineering, methodologies for effective evaluation of AI implementations, and effective system integration methods.
3 Credits -
MAIN 625
AI System Design
- Students learn how to design systems and processes that use AI as a key component. This course emphasizes the design, imple management of AI-driven processes across various applications, including, but autonomous systems, predictive analytics, and intelligent interfaces. explore how to practically use a variety of AI tools and methods in fields such as health customer service, marketing, autonomous vehicles, smart cities, and monitoring, among others, with a focus on real-world applications. Learning is through a case studies and practical exercises.
Prerequisite: MAIN 620 or MAIN 622
3 Credits