Big Data Machine Learning Course
Gain expertise in big data machine learning for practical recommendation systems. The course covers distributed data processing, feature stores, scalable model training, hyperparameter optimisation, and low-latency deployment techniques to create robust, high-performing ML solutions ready for production environments. It emphasises reliability, speed, and alignment with business objectives across real-world applications.
from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This course equips you with skills to design, train, deploy, and manage large-scale recommendation models effectively. You will explore distributed data handling, advanced feature creation, hyperparameter tuning, real-time serving, plus monitoring, testing, security, and cost management to ensure ML systems remain efficient, dependable, and business-focused.
Elevify advantages
Develop skills
- Deploy scalable ML models: deliver, monitor, and optimise low-latency recommendation services.
- Train models on distributed systems: manage vast datasets, embeddings, and memory constraints efficiently.
- Develop production-ready features: construct, verify, and deliver extensive feature pipelines.
- Optimise hyperparameters effectively: execute budget-conscious, distributed tuning using current tools.
- Strengthen ML infrastructure: test, benchmark, secure, and manage costs in live operations.
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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