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ML Engineering Course
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 well-equipped for real-world applications.
- 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.
from 4 to 360h flexible workload
certificate recognized by the MEC
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 well-equipped for real-world applications.
Elevify advantages
Develop skills
- 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
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 workload.What our students say
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