ML Engineering Course
What will I learn?
Master the essentials of machine learning engineering with our comprehensive ML Engineering Course. Designed for technology professionals, this course covers everything from data collection and preprocessing to model training, evaluation, and deployment in production. Delve into recommendation systems, explore machine learning algorithms, and learn to integrate real-time predictions with e-commerce platforms. Gain practical skills in scalability, documentation, and reporting, ensuring you're equipped for real-world applications.
Apoia's Differentials
Develop skills
Strengthen the development of the practical skills listed below
Deploy models: Master scalability and real-time predictions in production.
Build recommendation systems: Explore types and e-commerce applications.
Implement ML algorithms: Use hybrid, content-based, and collaborative methods.
Train and evaluate models: Learn precision, recall, and F1-score metrics.
Preprocess data: Identify sources, encode, normalise, and handle missing data.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can adjust the chapters and the workload.
- Choose which chapter to start with
- Add or remove chapters
- Increase or decrease the course workload
Examples of chapters you can add
You will be able to generate more chapters like the examples below
This is a free course, focused on personal and professional development. It is not equivalent to a technical, undergraduate, or postgraduate course, but offers practical and relevant knowledge for your professional journey.