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Next Cohort: Mar 8-Sep 8
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Duration
6 months
Tuition
$10,526
Online
Mar 8-Sep 8
Commitment
Part-Time
Delivery
Online
Year Founded
2009
Scholarships
no
Advance your career by working on real ML projects, and build and scale your own Deep Learning prototype with Sprinboard’s Machine Learning Engineering bootcamp. More than 50% of the Springboard curriculum is focused on production engineering skills. In this course, you’ll design a machine learning/deep learning system, build a prototype and deploy a running application that can be accessed via API or web service.
What You’ll Learn
- The Machine Learning Engineering Stack
- Data Wrangling at Scale and Statistics for AI
- Foundations of Machine Learning
- A Deep Dive into Deep Learning
- Natural Language Processing
- AI Tutorial: Computer Vision
- Deploying AI Systems to Production
Admission Requirements
- At least one year of software engineering industry experience using a general purpose Object-oriented programming language, such as Python, Java and C++.
- If you do not have industry software experience, 1-2 years on-the-job coding experience in graduate school, a bachelor’s program or on open-source project may meet the requirements.
Ready to get started?
Next Cohort: Mar 8-Sep 8
By submitting your email address, you acknowledge and agree to CourseCompare.ca's Terms of Service and Privacy Policy.
Student Reviews (3)
Excellent curriculum, mentees from all over the world, and great support staff. For a mentor, it's like sitting at your home and touring the world with every new mentee sharing their life experiences and seeking for suggestions & directions to get ...
Mentorship at Springboard is the primary value of the program. You get a personal mentor and 30-minute weekly calls to keep you on track with your independent "capstone" projects. My mentor was a successful data scientist from a well-known tech company...