Artificial Intelligence Algorithms Course
Master AI recommendation algorithms end-to-end—from collaborative filtering and matrix factorization to deep two-tower models and ANN search—and learn to design, scale, and evaluate production-ready systems for real-world tech products.
flexible workload from 4 to 360h
valid certificate in your country
What will I learn?
The Artificial Intelligence Algorithms Course gives you practical skills to design and deploy modern recommendation systems end to end. You will define goals and constraints, apply collaborative filtering, matrix factorization, and deep models, then optimize indexing, serving, latency, and cost. Learn to evaluate with real metrics, plan rollouts, and build scalable, business-aligned recommenders fast.
Elevify advantages
Develop skills
- Design scalable recommenders: turn business goals into precise ML problem setups.
- Build CF and matrix factorization models: optimize speed, memory, and accuracy.
- Implement modern two-tower and deep ranking models for real-time recommendations.
- Plan production capacity: model latency, storage, RPS, and cost constraints.
- Evaluate and deploy: ANN search, A/B tests, metrics, and safe rollout strategies.
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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