Course Description

With companies in almost every industry finding ways to adopt machine learning, the demand for machine learning engineers and developers is higher than ever. Now is the best time to start considering a career in machine learning, and this course is here to guide you.

This course is designed to provide you with resources and tips for getting that job and growing the career you desire.

We provide tips from personal interview experiences and advice on how to pass different types of interviews with some of the hottest tech companies, such as Google, Qualcomm, Facebook, Etsy, Tesla, Apple, Samsung, Intel, and more.

We hope you will come away from this course with the knowledge and confidence to navigate the job hunt, interviews, and industry jobs.

We will cover the following topics:

  • Examples of Machine Learning positions

  • Relevant skills to have and courses to take

  • How to gain the experience you need

  • How to apply for jobs

  • How to navigate the interview process

  • How to approach internships and full-time positions

  • Helpful resources

  • Personal advice

ABOUT THE INSTRUCTOR

Janice Pan is a full-time Senior Engineer in Artificial Intelligence. She has published papers in the fields of computer vision and video processing and has interned at some of the top tech companies in the world, such as Google, Qualcomm, and Texas Instruments. She got her BS, MS, and PhD degrees in Electrical Engineering at The University of Texas at Austin, and her interests lie in Computer Vision and Machine Learning.

Her YouTube channel, janpancake features free, weekly content about college, graduate school, careers, and more.

Course curriculum

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