Courses Categories: Project Management Software, Python, and Software/Web Development
Machine Learning Engineering Career Track
Machine Learning Engineering Career Track
Address: 22 Battery St #1000
San Francisco
California
94111
United States
San Francisco
California
94111
United States
What You Will Learn :
- Battle-Tested Machine Learning Models
- Computer Vision and Image Processing
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.
Description
A unique approach to a machine learning curriculum. Knowing machine learning and deep learning concepts is important but not enough to get you hired. According to hiring managers, most job seekers lack the production engineering skills to perform the job.
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. No other Bootcamp does this.
Who is this course for?
This Machine Learning Bootcamp is designed for people with strong software engineering skills and industry experience, who want to become Machine Learning Engineers.
Course Supplier
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Duration (Hours): 48
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