New England College

AI5115 is a project-driven course that pushes students to build an AI application entirely from scratch. Professor Viazanko guides the class through a structured process—starting with defining the problem background, identifying AI opportunities, and surveying current preprocessing techniques and technologies—before gradually layering core AI concepts onto your own creative idea. This bottom-up approach really deepens your understanding of how each component fits into a complete solution. That said, I would strongly advise choosing a well-scoped, manageable topic early on. The project tends to snowball quickly, and if your initial idea is too broad or ambiguous, you'll find yourself fighting an uphill battle in later stages. The professor is quite rigorous in his expectations—he demands solid reasoning, clean execution, and clear justification for every design choice. It's not an easy course, but if you plan carefully and stay on top of your project, it's an incredibly rewarding experience that genuinely builds practical AI competence.

Worst professor ever

Pretty interesting course even for someone who is unfamiliar with this field. I enjoy learning this material and actually took some interesting tips that will help me with my work!

I had a great experience with this introductory course. It was neatly organized and easy to learn, especially to understand the basics for future courses.

Very good

This is a great introductory course for data analytics students. I learned greta basics here and they will be a foundation for my future classes and the knowledge that I receive.

Amazing course! I was very impressed with the content and the practical parts of this curriculum.

Harter is a great professor! The course is definitely a bit of workload-heavy, but it’s 100% worth it because everything you learn is incredibly useful for real world daily work.

This is a highly engaging and enjoyable course. The workload is very manageable, and the weekly schedule is consistently well-structured, making it easy to stay on track. The professor is very encouraging and grades fairly. To succeed in this class, there are two key details to keep in mind: first, when participating in the discussion boards, you must include active links in your references; second, during peer evaluations, make sure to explicitly mention your peer's name as required. Overall, it’s a fantastic learning experience with a very reasonable workload, and I highly recommend it