Overview
Machine Learning Engineering from 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. No other bootcamp does this.
Students at Machine Learning Engineering from Springboard will gain knowledge in:
- Python Data Science Tools includes pandas, scikit-learn, Keras, TensorFlow
- Machine learning engineering tools including Spark/PySpark, TensorFlow, Luigi, Docker, Hadoop, AWS, and Fast.ai
Programme Structure
Courses include:
- Battle-Tested Machine Learning Models
- Computer Vision and Image Processing
- The Machine Learning Engineering Stack
- ML Models At Scale and In Production
- Deploying ML Systems to Production
- Working With Data
Key information
Duration
- Part-time
- 6 months
Start dates & application deadlines
- Starting
- Apply before
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Language
English
Delivered
Online
Disciplines
Computer Sciences Artificial Intelligence Machine Learning View 296 other Short Courses in Machine Learning in United StatesAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- 1+ year of professional experience working in software engineering and development OR data science using a general-purpose OOP language, such as Python, Java and C++
- OR A Master's or PhD degree in CS, Math, EE, Physics, Data Science, Informatics, Economics, Operations Research, Financial Engineering, Applied Stats or other degree that involves extensive programming experience.
Tuition Fee
To always see correct tuition fees
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International
13140 USD/fullTuition FeeBased on the tuition of 13140 USD for the full programme during 6 months. -
National
13140 USD/fullTuition FeeBased on the tuition of 13140 USD for the full programme during 6 months.
Funding
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
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