Start & Grow Your Career in Machine Learning/Data Science
What you'll learn
- Introduction to machine learning
- How to prepare for coding, technical, behavioral, and on-site interviews
- How to apply for full-time jobs and internships
- How to prepare a resume
- How to navigate internships
- Examples of machine learning careers
- How to negotiate a job offer
- Machine learning resources
- Interviewing tips
Course content
- Preview00:30
- Preview01:46
- 01:44Udemy Rating System Very Important Info!
- Preview01:26
- Preview00:42
- Preview00:34
- 01:373 Things You Must Know About ML Careers
- 00:42Do You Need a Degree?
- 01:17Most Essential Skills
Requirements
- None
Description
Hello!
Welcome, and thanks for choosing How to Start & Grow Your Career in Machine Learning/Data Science!
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.
***NOTE This course reflects the instructor's personal experiences with US-based companies. However, she has also worked overseas, and if there is a high interest in international opportunities, we will consider adding additional FREE updates to this course about international experiences.
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
Why Learn From Class Creatives?
Janice Pan is a full-time Senior Engineer in Artificial Intelligence at Shield AI. 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.
Who This Course is For:
You do not need to have any specialized background or skills. All we ask is that you have a curiosity for how to start a career in Machine Learning!
Who this course is for:
- Anyone curious about machine learning careers, interviewing, or applying for jobs
- High school, college, or graduate students trying to decide on future career paths
- Anyone wanting to transition into machine learning/data science careers
Instructors
![Class Creatives](data:image/svg+xml,%3Csvg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 64 64"%3E%3C/svg%3E){kind=avatar}
- 4.2 Instructor Rating
- 248 Reviews
- 2,007 Students
- 13 Courses
Over 20yrs of professional industry experience and nearly a decade of accredited university level instruction. Instructors featured from Studios such as Walt Disney Animation Studios, Walt Disney Television, Google, Nintendo, Naughty Dog, Sony Computer Ent, Insomniac, Sucker Punch, Guerrilla Games, Infinity Ward, and more!
From beginners to industry veterans, Class Creatives provides an inclusive group of professional instructors for all 3D game development, design, music, sfx, and programming related tutorials!
Questions? Suggestions for a new course? Visit our community page and let us know.
Stay up to date on our instagram @classcreatives
- 4.9 Instructor Rating
- 9 Reviews
- 44 Students
- 1 Course
I want to help you understand how to break into the Machine Learning space. With courses intended for anyone with even the slightest curiosity in Machine Learning, I hope the information, insight, and personal advice I share will help you build the career of your dreams!
I received my PhD in Electrical Engineering in 2019 from The University of Texas at Austin and have published papers in the fields of image and video processing, computer vision, and machine learning.
I have done six internships (Google, Qualcomm, Texas Instruments, St. Jude Medical, Novatek [in Taiwan], and Schlumberger) and am now a full-time Senior Engineer in Artificial Intelligence. I want to share with you personal tips from my experiences interviewing and working in tech for over 10 years.
I started my Youtube channel, janpancake, in 2020, and I post free, weekly content about college, graduate school, careers, and more. Feel free to check it out, and I look forward to seeing you in class!