Large Scale Machine Learning Course
This course equips learners with practical skills to build, train, and deploy scalable machine learning systems for large-scale recommendation engines, focusing on efficiency, reliability, and operational best practices.
flexible workload from 4 to 360h
valid certificate in your country
What will I learn?
The Large Scale Machine Learning Course teaches you how to design, train, and deploy high-performance recommendation models from start to finish. You will learn scalable data intake, streaming systems, feature preparation, and quick-response serving using ANN setups. Build dependable, budget-friendly ML systems with tracking, visibility, management, protection, and strong assessment to run models confidently at tens-of-millions level.
Elevify advantages
Develop skills
- Design big-scale recommenders: two-tower, ANN and matrix breakdown.
- Train ML models on a large scale: negative picking, adjusted loss and settings.
- Build quick-response ML serving: feature storage, ANN fetching and A/B trials.
- Prepare batch and streaming features using Spark, Kafka and Parquet.
- Run ML operations: tracking, cost management, oversight and retraining.
Suggested summary
Before starting, you can change the chapters and 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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