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Applied Artificial Intelligence

This program offers a career navigation course*
Add an Applied AI program to attract & retain Computer Science and Data Science students

Rize’s Applied AI program is a highly technical program designed to be offered as a combined major or concentration for Computer Science and Data Science majors. This 5-course sequence emphasizes the applied aspects of AI providing students with hands-on experience to build custom AI systems, design neural architectures, fine-tune models, engineer effective prompts, design experiments, and create informative visualizations to communicate the value of their work.

Give your students the skills they need to stay up to date in an incredibly fast-moving space, positioning them as builders for an increasingly AI-driven future.

32%
increase in undergraduate AI degree enrollments last year1
38%
increase in AI Bachelor degree completions last year1
8
institutions with Artificial Intelligence degree graduates2
Courses and curriculum

Applied AI course descriptions

You can launch this Applied AI program by adding 4-5 Rize courses to your existing catalog, enabling you to market an Applied AI concentration to prospective students in as little as one semester.

Expand below to read the course topics in AI for Everyone.

AAI I - Introduction to Generative AI

Generative AI is AI that can produce new content - answers, code, music, art, video, and more. Those who harness it are more productive, more in-demand, and more highly paid. Those who don’t will be left behind. This lightly technical intro will teach you the foundational skills to level up your understanding of transformers, LLMs, and more. By the end of this course, you will engineer better prompts and apply chain-of-thought techniques to generate AI solutions.

AAI II - How to Get a Job in AI

AI jobs are exploding, but the pathways to discover and land them aren’t always clear. In this course, you’ll explore the wide - and growing - variety of career pathways your AI skills unlock. You’ll understand salaries, growth trends, target jobs, and the skills needed to land them. You’ll deepen an understanding of resume and interview skills, achievable goals, and careers that meet your needs for meaning, excitement, and a lucrative financial future.

AAI III - Predictive Modeling in AI

This course brings the predictive power of AI to your toolbox. You'll discover how to analyze, interpret, and forecast complex data using AI tools. Learn through hands-on activities and practice techniques like regression analysis and neural networks. You'll also explore how to fill in missing data and estimate your confidence in your predictions. By the end of this course, you'll have in-demand skills for your career and be ready to take on more advanced studies.

AAI IV - Prescriptive AI

Prescriptive AI teaches you the highest-value technical AI skills available. You’ll use the advanced techniques of optimization, evolutionary computation, surrogate modeling, and agent building, helping you use AI for its true superpower: faster, better business decisions. Through real-world challenges and hands-on projects in decision-making, robotics, and more, you’ll be able to frame problems and train models that make you a desirable hire in any industry.

CS or DS Capstone

Students will pair the courses above with their Computer Science or Data Science capstone to complete their Applied AI combined major or concentration.

Certified Planning is a great career stats
ACADEMIC ADVISORS

Rize programs leverage the courses you already have:

Our Academic Partners will work directly with you to build a unique program leveraging and integrating courses you already have in your catalog.

The Applied AI program is a specialized pathway for Computer Science (CS) and Data Science (DS) students interested in deep-diving into AI technologies. This 5-course sequence is a concentration or combined major that can be a complement to any CS or DS degree. Applied AI is a highly technical program best for students with entry-level programming experience.
Potential Applied AI concentrations could look like this:
Example program pairings
Computer Science (Home institution or Rize Computer Science)
Data Science (Home institution or Rize Data Science)
Courses from Rize
Introduction to Generative AI
How to Get a Job in AI
Predictive Modeling in AI
Prescriptive AI
CS or DS Capstone
Interested in a non-technical AI program? Explore our AI Literacy courses.

Real-World Courses Developed by Qualified Professional & Academic Experts in the Artificial Intelligence Field

Risto Miikkulainen
- Professor of CS at UT Austin
- Ph.D. Computer Science: UCLA '90
- 2023 fellow in The Association for the Advancement of A.I. (AAAI)
James Groeneveld
- Research Engineer at Character.AI
- B.A. Computer Science & Statistics: Harvard University '14
- Ex Google, Ex BCG
Ben Lynton
- Founder & CEO at 10ahead.AI
- B.A. Earth & Planetary Science:  Harvard University '14
- Ex Blackbook.AI

Students give these courses rave reviews

“The projects we had to do were very motivating… It sparked interest in me, got the light going in my brain - I loved doing the projects!”
Cole B.
Walsh University
“Rize has given me an opportunity to add something to my degree. Something that I wanted to find at my school but wasn’t there.”
Chisunta C.
Albertus Magnus College
“Class experience is amazing!”
Mary D.
Mary Baldwin University
“It’s helped me know what I want to do in my career because of how immersive the assignments are.”
Jacob J.
Lasell University
“Even though everything was online… it still felt like the same kind of small classroom that I really enjoy, and that’s why I chose my college - so I kinda got that same experience even thru the computer.”
Summer R.
Lasell University
"One of the things I liked about [it] was getting to meet new people from different colleges and getting to hear new experiences and opinions."
Kara B.
Lasell University

Ready to learn more?

Fill out the form below and someone from our Academic Partnerships team will be in touch with you shortly.

References

1 Gray Decision Intelligence Program Evaluation System

1 Gray Decision Intelligence Program Evaluation System
https://www.graydi.us/

2 Integrated Postsecondary Education Data System

2 Integrated Postsecondary Education Data System
https://nces.ed.gov/ipeds/use-the-data