According to PayScale, Machine Learning Engineers earn an average of $111,614 per year.
Why the high salaries? We’re in a machine learning arms race.
To gain a competitive edge, leading companies are using Artificial Intelligence (AI) to solve problems of all kinds. From chatbots that reduce customer support costs to medical software that can quickly analyze x-rays, and recommendation tools that drive new sales, the applications of AI are growing in scope and complexity.
But the number of people who can combine theoretical AI knowledge with practical, hands-on coding skills is not keeping up. Over the past 3 years, the number of AI-related jobs posted on Indeed has more than doubled—an increase of 119%. Nearly half of these new job listings remain unfilled for 60 days or more. That’s where you come in, where we come in.
Our new Pro Intensive, Machine Learning Fundamentals
, will give you the skills you need to land one of those jobs. All you have to know is a little Python. We’ll teach you the rest, including:
- Scikit-learn—an essential Python library (and powerful data mining and analysis tool) that provides efficient, scalable versions of many common algorithms.
- Foundational concepts in multiple linear regression, predictive analysis, and classification of large, complex datasets.
- How to build your own classifier, neural network cell, and Python library—and leverage those skills to solve real-world AI challenges.
If you’re serious about a career in machine learning, Machine Learning Fundamentals
is an ideal entry point. It takes you from basic Python skills to the ability to solve real-world challenges you might encounter at work—in just 7 weeks.
Space is limited, though. Reserve your seat today—our next cohort starts on November 13th.