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
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.
Module01_Sequence 1.0 Who Am I Course Overview
FREE PREVIEWModule01_Sequence 1.1 What is Machine Learning
FREE PREVIEWModule01_Sequence 1.2 Machine Learning Examples
FREE PREVIEWModule01_Sequence 1.3 Who Should Take This Course
FREE PREVIEWModule01_Sequence 1.4 What Will This Course Provide
FREE PREVIEWModule01_Sequence 1.5 3 Things You Must Know About Machine Learning
Module01_Sequence 1.6 Do You Need a Degree
Module01_Sequence 1.7 Most Essential Skils
Student Feedback
Course Drip Schedule FAQ
Module02_Sequence 2.1 Machine Learning Careers
Module02_Sequence 2.2 Data Scientist
Module02_Sequence 2.3 Machine Learning Engineer
Module02_Sequence 2.4 Natural Language Processing Engineer
Module02_Sequence 2.5 Academia
Module03_Sequence 3.1 How to Gain Experience
Module03_Sequence 3.2 Courses
Module03_Sequence 3.3 Internships
Module03_Sequence 3.4 Competitions
Module03_Sequence 3.5 Literature
Module03_Sequence 3.6 Online Resources
Module04_Sequence 4.1 Interview Process
FREE PREVIEWModule04_Sequence 4.2 Resume & Cover Letters
Module04_Sequence 4.3 Coding Interviews
Module04_Sequence 4.4 Other Phone Interviews
Module04_Sequence 4.5 On Site Interviews
Module04_Sequence 4.6 Personal Advice
Module05_Sequence 5.1 What is an Internship
Module05_Sequence 5.2 Getting Internships
FREE PREVIEWModule05_Sequence 5.3 What to do Before an Internship
Module05_Sequence 5.4 What to do During an Internship
Module05_Sequence 5.5 What to do After an Internship
Module06_Sequence 6.1 The Job Hunt
Module06_Sequence 6.2 Career Development
Module07_Sequence 7.1 Conclusion
Module07_Sequence 7.2 Recommended Movies & TV Shows
Module07_Sequence 7.3 Best Websites and Blogs to Follow
Module07_Sequence 7.4 Other Machine Learning Courses
