Large Scale Machine Learning Course
This course covers the end-to-end process of building and deploying large-scale machine learning recommendation systems, focusing on scalability, efficiency, and operational best practices.
from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
The Large Scale Machine Learning Course teaches you how to design, train, and serve high-performance recommendation models from start to finish. You will learn scalable data ingestion, streaming pipelines, feature engineering, and low-latency serving using ANN systems. Build reliable, cost-efficient ML platforms with monitoring, observability, governance, security, and robust evaluation to confidently operate models at tens-of-millions scale.
Elevify advantages
Develop skills
- Design large-scale recommenders: two-tower, ANN and matrix factorization.
- Train ML models at scale: negative sampling, tuned loss and hyperparameters.
- Build low-latency ML serving: feature stores, ANN retrieval and A/B tests.
- Engineer batch and streaming features with Spark, Kafka and Parquet.
- Operationalize ML: monitoring, cost control, governance 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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