Q&A with Coursera and IBM: How to Get a Machine Learning Job

Global AI & Data Science

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The top technology jobs from recent rankings have one thing in common: the ability to leverage Machine Learning techniques to drive business decisions and prescribe recommendations. Whether you choose to upskill to become a data scientist, data engineer, data analyst, or machine learning engineer, you will be expected to know the basic theory behind the most common Machine Learning algorithms as well as being proficient using the most common frameworks and libraries for Machine Learning, Data Science, and Artificial Intelligence. The IBM Machine Learning Professional Certificate helps you cover these two main requirements by incorporating lectures, hands-on labs, and projects that help you get ready to join most industries in a Machine Learning capacity.

It's a great time to become a Machine Learning professional. But how can you quickly gain the skills and experience that businesses need?

Ask IBM experts Meredith Mante and Miguel Maldonado, instructors of IBM Machine Learning Professional Certificate and IBM Machine Learning Rapid Prototyping using AutoAI on Coursera! Over the next two weeks, Meredith and Miguel will be answering questions like:

What is Machine Learning and how does it improve our everyday lives?
What is Automated Artificial Intelligence?
What is the difference between Machine Learning and Artificial Intelligence?
What are the most recent job market trends in Machine Learning?
What are the skills that businesses seek for Machine Learning jobs?

Click here to join the discussion post in the Data and AI Learning group and ask your questions about building a career in Machine Learning! Miguel and Meredith will be responding live on March 11 at 2 pm ET.

New members of the IBM Data Science Community get a complimentary first month of any of IBM's Data Science and Artificial Intelligence Specialization and Professional Certificate subscriptions on Coursera.

Join the Community to join the conversation.

Bios

Miguel Maldonado co-leads the Machine Learning curriculum development for IBM's Data & AI Expert Labs. He has 10+ years of experience in Machine Learning, Data Science, and AI. He has worked in R&D developing data mining products and served in leadership roles as Director of Data Science and VP of Analytics across several industries including Retail, Banking, and Fintech. He holds a B.Sc. in Physics from Monterrey Tech and an M.S. in Analytics from NC State's Institute for Advanced Analytics. In his free time he enjoys hiking. He is passionate about democratizing Data Science and participating in datathons, local meetups, and events that support NGOs.

Meredith Mante is a Data Scientist with a focus on education. Along with Miguel, she co-leads Machine Learning curriculum development for IBM's Data and AI Expert Labs. She has created courses for Coursera learners, for IBMers and for IBM clients with a focus on teaching about emerging areas like AutoAI. She has a bachelor's degree in Psychology from Princeton and a master's degree in Computer Science from NYU. She is passionate about sharing Data Science and AI with a broad community of learners from diverse backgrounds. Outside of work, she enjoys exploring parks in the NY/NJ area.

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