Learn programming that ties into your knowledge of statistical mathematics and start creating machine learning systems. You can study basic components of AI while learning to program with R code, and then build a set of programs using the course material. Work through the learning modules one by one and set up a range of predictive systems that include Boston housing prices and a digital recognition program.
Learn about TensorFlow, a valuable open-source library of software for numerical computation that was originally created by researchers from the Google Brain Team. Learn to use AI-type software you source with Tensor Flow, and then create complex, multidimensional data flow graphs and connect them to various networks. Finally, develop your own Capstone project using the information in your learning materials. Define a problem, design and program a system to collect data and solve that problem, and then critique the results. This Machine Learning Engineer Nanodegree also helps you prepare your portfolio and machine learning engineer resume for future employment.
Study 8 hrs/week and complete in 6-8 mo.
Based on US job data
We built this program with expert analysts and leading technology companies to ensure you master the skills needed to meet the requirements of industry.
Our experienced mentor network will return your project within 24 hours, with line-by-line comments and tips to ensure you are mastering the material.
Take advantage of free resume and online profile reviews. You’ll also receive access to our network of hiring partners, and prepare for hiring questions with mock interviews.
Work at your own pace, on your own schedule. You can even pause your subscription for when life gets busy or you need a short break.
Build a portfolio of industry-relevant projects. Upon graduation, you’ll have an array of example work to impress any employer.
Whether you're stuck on a project or confused by a concept in class, our mentors can answer any question in personal 1-on-1 sessions.
"I never thought my set of skills would involve any understanding of technology. I'm now able to apply what I learned directly in my job, and my boss loves me for it!"
Was a Business Consultant at Microcenter
Now a Business Analyst at Tryon Equestrian Partners
"I had a hard time finding a job due to lack of relevant experience. The projects I built in the program helped me build a strong resume, and launch my career."
Was a Student
Now a Data Specialist at Gramener
"I really enjoyed learning different skills related to being a data analyst. Coming from academia, the career-related advice was especially valuable in helping me land a job.
Was an Arabic and Linguistics Professor
Now a Data Analyst at Pilytix
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