Large Scale Machine Learning Course
This course covers designing, training, and serving large-scale machine learning recommendation models, including data pipelines, feature engineering, low-latency serving, and operational best practices for scalable ML platforms.
flexible workload of 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 serve high-performance recommendation models from start to finish. You will learn scalable data ingestion, streaming pipelines, feature engineering, and low-latency serving with ANN systems. Build reliable, cost-efficient ML platforms with monitoring, observability, governance, security, and robust evaluation so you can 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 the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workloadWhat our students say
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Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can change chapters and skip content I don't need.
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The platform is fast, simple to use. The diversity of content and complementary videos help a lot with learning.
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