ML Engineering Course
What will I learn?
Master the essential aspects of machine learning engineering with our comprehensive ML Engineering Course. Designed for tech professionals, this course covers everything from data collection and preprocessing right through to model training, evaluation, and deployment in a production environment. Get stuck in with recommendation systems, explore machine learning algorithms, and learn how to integrate real-time predictions with e-commerce platforms. Gain practical skills in scalability, documentation, and reporting, ensuring you're properly equipped for real-world applications.
Apoia's Unique Features
Develop skills
Enhance the growth of the practical skills listed below
Deploy models: Master scalability and real-time predictions in a production setup.
Build recommendation systems: Explore different types and their applications for e-commerce.
Implement ML algorithms: Use hybrid, content-based, and collaborative methods.
Train and evaluate models: Learn about precision, recall, and F1-score metrics.
Preprocess data: Identify data sources, encode, normalise, and handle missing data properly.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can modify the chapters and the workload.
- Select which chapter to commence with
- Add or remove chapters
- Increase or decrease the course workload
Examples of chapters you can include
You’ll be able to generate additional chapters similar to the examples below
This is a free course focused on personal and professional growth. It does not equate to a technical, undergraduate, or postgraduate qualification, but offers practical and relevant knowledge for your professional journey.