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Transitioning into Machine Learning Engineering

Instructor: Khaulat Abdulhakeem

Machine learning engineers are increasingly in high demand, which bodes well if you’re a data scientist or software developer who’s interested in changing careers. In this course, join tech trainer and instructor Khaulat Abdulhakeem as she walks you through the steps you need to take to make a successful transition into machine learning engineering.

Learn about the various roles held by machine learning engineers designing machine learning systems and applications. Explore key skills that are relevant to the field as drawn from data science and software engineering, including techniques for modeling, data set processing, compression, developing machine learning algorithms, speed and scalability optimization, and deployment. Along the way, Khaulat speaks with a handful of machine learning engineers and hiring managers about their unique experiences, giving you a better idea about what to expect from the job hunt and what you need to do to land a role that fits.

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