Start & Grow Your Career in Machine Learning/Data Science

About this course

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 positionsRelevant skills to have and courses to takeHow to gain the experience you needHow to apply for jobsHow to navigate the interview processHow to approach internships and full-time positionsHelpful resourcesPersonal adviceWhy 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

Course objectives

• To equip participants with the knowledge to effectively hunt for jobs in machine learning
• To provide practical advice for succeeding in interviews
• To help participants understand the skills and experiences needed for a career in data science