ML Engineering Course
Become a master for machine learning engineering with our proper ML Engineering Course. We design am for tech people, plus e dey cover everything from how to gather data and prepare am, to how to train machine learning model, check whether e dey work well, and put am for production. You go learn about recommendation systems, explore machine learning algorithms, and learn how to put real-time predictions inside e-commerce platforms. You go get proper skills for how to make things scale well, how to document everything, and how to report on top, so you go dey ready for real work.

flexible workload of 4 to 360h
certificate recognized by the MEC
What will I learn?
Become a master for machine learning engineering with our proper ML Engineering Course. We design am for tech people, plus e dey cover everything from how to gather data and prepare am, to how to train machine learning model, check whether e dey work well, and put am for production. You go learn about recommendation systems, explore machine learning algorithms, and learn how to put real-time predictions inside e-commerce platforms. You go get proper skills for how to make things scale well, how to document everything, and how to report on top, so you go dey ready for real work.
Elevify advantages
Develop skills
- Deploy models: Learn how to make things scale well and make real-time predictions for production.
- Build recommendation systems: Explore the different types we get and how e dey work for e-commerce.
- Implement ML algorithms: Use hybrid, content-based, and collaborative ways of doing things.
- Train and evaluate models: Learn about precision, recall, and F1-score metrics we dey use check whether the model dey perform well.
- Preprocess data: Learn how to find data sources, encode am, normalize am, and deal with data wey dey miss.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workloadWhat our students say
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