DEEP LEARNING FUNDAMENTALS COURSE

This short immersive course is advanced, so while anyone can enroll, we strongly suggest all incoming students demonstrate the following:

• - Comfort with the math fundamentals of machine learning including statistics, calculus, linear algebra, and probability.
  
• - Proficiency in general pandas, Python, and basic visualization libraries; the ability to comfortably use these tools to analyze, explore, and visualize tabular datasets.
  
• - Theoretical knowledge of, as well as practical experience in, major supervised machine learning topics including classification models, regression models, and model evaluation.
  
• - Comfort with web scraping or obtaining data through application programming interfaces (APIs). This is a definite plus for students who wish to move through the course with a wider range of possible projects. However, these skills are not necessary for course success.
  
• - All students need an active Github account, which they can handle prior to the course start. It’s free and easy to do so. 

To enroll in the Deep Learning Fundamentals course, all you have to do is click here. Be sure to do so before 8pm ET on the Friday before the course start date. That deadline allows us to send students all necessary materials and information before day one so they can start the course on the right foot.

Tuition for the Deep Learning Fundamentals course is $3,500 for the Live Online format and $2,500 for the Online Flex format. Students can pay for the course in full or consider one of our financing options. We partner with Ascent to offer monthly repayment options for our students. Learn more by visiting Ascent.

Students in our Live Online Deep Learning Fundamentals course format are required to be online from 11:00 am - 6:00 pm ET / 10:00 am - 5:00 pm CT / 8:00 am - 3:00 pm PT five days a week for two consecutive weeks. The daily schedule includes pair programming, lectures, independent project work, and a one-hour lunch break. 

Additionally, students should expect to spend evenings after class hours reviewing lectures and course materials, completing assignments, and working on their project. In order to receive a certificate of completion at the end of the course, students must maintain attendance and achieve passing scores on both their project and assessments. 

Students in the Online Flex Deep Learning Fundamentals course format are required to complete 15-to-20 hours a week for four weeks. They will watch on-demand lectures and engage with instructors and teaching assistants live online during 1:1 sessions weekly.

Career support is not included as part of our short immersive courses. However, students will gain access to our impressive network of data professionals and to our always-updating list of networking events and job opportunities that are routinely shared in Slack.

Those who teach our short immersive courses are the same highly-reviewed instructors who teach our bootcamps. Each brings a high level of expertise garnered from their advanced work and educational backgrounds, which span industries and areas like mathematics, finance, physics, business, and much more.