Get your start: Become a Machine Learning Engineer

Machine Learning has the potential to change your career forever. On top of that, learning these skills has never been easier. You don’t need a fancy degree to master ML and become a desirable candidate at any tech company. Set yourself apart as an expert ML Engineer and stay relevant to the future of the industry.

You can even get started today. Educative’s Machine Learning courses are focused on giving you the practical skills to solve real-world ML problems, rather than emphasizing complex theory. By the time you’re done, you’ll be a hirable ML engineer!

Learn the foundations of Machine Learning

Before you can start solving real-world problems, you’ll need to build the foundation for all the complex inner workings of Machine Learning programs.

The good news is that at Educative, we’ve teamed up with experts in the field to provide you will all the foundational knowledge you need to start your ML journey. Our courses are designed for anyone with a background in software engineering and Python to get up to speed on all the important basics for ML:

Supervised vs. Unsupervised Learning
Deep learning
Feature engineering
Data analysis/visualization
Convolutional neural networks

Practice real-world Machine Learning Problems

Once you complete the beginner courses, you’ll be able to implement algorithms to solve real-world problems, from Image Recognition, to Language Models, to applied industry-level projects based on actual industry standards.

These hands-on courses will empower you to understand and implement the seven steps of the machine learning process.

Data Collection
Data Processing and Preparation
Feature Engineering
Model Selection
Model Training and Data Pipeline
Model Validation
Model Persistence

To make your learning easier, all these practice problems move from basic theory to complex application in easy-to-understand frameworks. And each problem offers full implementation details and is thoroughly explained so you understand each step along the way.

Learn at your own pace

Reading is faster than watching: the average video tutorial is spoken at 150 words per minute, while the average human reads at 250. That’s why our courses are laid out as rich text.

You’ll get all the benefits of reading from a book, such as the ability to skim over parts, double back easily where needed, and highlight passages you find particularly interesting.

We recognize that learning visually is important. That’s why solutions are laced with detailed charts and visualizations.

Get help when you need it

Stuck? Need another explanation? Machine Learning can be a challenging topic to tackle, but Educative Discuss gives you a space to ask anything you’d like!

There’s a dedicated sub-forum for each lesson of the course, and the authors themselves frequently jump in to help out candidates.