Start & Grow Your Career in Machine Learning/Data Science

Start & Grow Your Career in Machine Learning/Data Science, available at $39.99, has an average rating of 4.45, with 40 lectures, based on 14 reviews, and has 69 subscribers.

You will learn about 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 This course is ideal for individuals who are Anyone curious about machine learning careers, interviewing, or applying for jobs or High school, college, or graduate students trying to decide on future career paths or Anyone wanting to transition into machine learning/data science careers It is particularly useful for Anyone curious about machine learning careers, interviewing, or applying for jobs or High school, college, or graduate students trying to decide on future career paths or Anyone wanting to transition into machine learning/data science careers.

Enroll now: Start & Grow Your Career in Machine Learning/Data Science

Summary

Title: Start & Grow Your Career in Machine Learning/Data Science

Price: $39.99

Average Rating: 4.45

Number of Lectures: 40

Number of Published Lectures: 39

Number of Curriculum Items: 40

Number of Published Curriculum Objects: 39

Original Price: $84.99

Quality Status: approved

Status: Live

What You Will 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

Who Should Attend

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

Target Audiences

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

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!

Course Curriculum

Chapter 1: Introduction & Course Overview

Lecture 1: Who Am I? Course Overview

Lecture 2: What is Machine Learning?

Lecture 3: Udemy Rating System Very Important Info!

Lecture 4: Machine Learning Examples

Lecture 5: Who Should Take This Course?

Lecture 6: What Will This Course Provide?

Lecture 7: 3 Things You Must Know About ML Careers

Lecture 8: Do You Need a Degree?

Lecture 9: Most Essential Skills

Chapter 2: Machine Learning Careers

Lecture 1: Machine Learning Careers

Lecture 2: Data Scientist

Lecture 3: Machine Learning Engineer

Lecture 4: Natural Language Processing Engineer

Lecture 5: Academia

Chapter 3: How To Gain Experience

Lecture 1: How To Gain Experience

Lecture 2: Courses

Lecture 3: Internships

Lecture 4: Competitions

Lecture 5: Literature

Lecture 6: Online Resources

Chapter 4: Interviews

Lecture 1: Interview Process

Lecture 2: Resume & Cover Letters

Lecture 3: Coding Interviews

Lecture 4: Other Phone Interviews

Lecture 5: On-Site Interviews

Lecture 6: Personal Advice

Chapter 5: Internships

Lecture 1: What is an Internship?

Lecture 2: Getting Internships

Lecture 3: What to do Before an Internship

Lecture 4: What to do During an Internship

Lecture 5: What to do After an Internship

Chapter 6: Industry Careers

Lecture 1: The Job Hunt and Negotiating an Offer

Lecture 2: Career Development

Chapter 7: Conclusion

Lecture 1: Conclusion

Lecture 2: Recommended Movies & TV Shows

Lecture 3: Best Websites & Blogs to Follow

Lecture 4: Other Machine Learning Courses

Lecture 5: Taking Initiative to Succeed in Grad School & Industry

Chapter 8: BONUS

Lecture 1: BONUS Lecture

Instructors

Class Creatives
High Fidelity 3D and Game Art Instruction by Industry Pros!
Janice Pan
Engineer in Artificial Intelligence

Rating Distribution

1 stars: 1 votes
2 stars: 0 votes
3 stars: 0 votes
4 stars: 3 votes
5 stars: 10 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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