Chief Scientist, Univ.AI
Former Lecturer, Harvard University
Incoming graduate student at Harvard University
“The Univ.AI Foundation course gave me a structured learning environment. They helped me understand why one algorithm worked better than another for a given application. The quality of the peer group and the personalized time devoted by the professors are the two things that surprised me”
Phd Mathematics, Technical University, Munich
“The learning experience at Univ.AI is highly engaging, interactive and lively. It is most definitely on par with the best universities in the world. I enjoyed the teaching style of Dr. Protopapas and the high level of care and dedication displayed by the academic team.”
Data Scientist at Glance, Ex- VMware
“My growth has been tremendous! I see a huge difference in the quality of code I write now compared to what I used to write in VMware. My new role requires me to pick up new tools quickly, and I think it’s because of my training at Univ.AI that I can adapt with great ease. Univ.AI helped me refine my concepts, and I think their program is the perfect training for any data scientist role.”
Machine Learning Lead at Metro Services
“The mentorship we got during the program was a perfect complement to learning from top faculty. The curriculum is challenging, but for the committed students the learning experience is exceptional. I was surprised at the pace at which I was able to develop my expertise.”
Software Engineer, Larsen & Toubro Infotech
“One of the things that made a big difference for me was learning with a smart and highly accomplished peer group. My classmates would often ask questions that I hadn’t thought of. Peer learning added greatly to an already inspiring learning experience.”
This course will give you a fundamental understanding of machine learning models and get you working with the basic concepts of ML and AI. You will learn regression and classification models. You'll then learn about Multi Layer Perceptrons, the building blocks of modern neural networks. At the end of this course, you will be able to run your own machine learning models, and tell how well they are performing.
If you score a B+ or higher in this course, you will gain acceptance into any of our certificate programs without the need to take the Univ.AI admission test.
If you score A or A+ you will be granted an Income Sharing Agreement (ISA), where you will pay ZERO tuition fee until you are employed.
This LIVE-online, part-time course is for college or university students and working professionals who seek a career in Machine Learning and AI and have the requisite knowledge of python programming, basic statistics and mathematics.
Week 4: Neural Networks
Week 6: Project Week
In the final week, you will work on a complex, hands-on project that will challenge you to apply your learnings to a real-world problem. You will work in small groups and learn to address complexity by breaking down different parts of a problem into simpler units. You will learn to make real-world trade-offs to reach solutions.
Projects train you to apply your learnings in work-settings to become “production-ready.” Your projects are carefully evaluated and they become part of your long-term repository at Univ.AI.