Artificial Intelligence Algorithms Course
Gain expertise in AI recommendation algorithms throughout—from collaborative filtering and matrix factorization to deep two-tower models and ANN search. Learn to design, scale, evaluate, and deploy production systems tailored for real tech products, ensuring they meet business needs effectively.
from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This course equips you with hands-on skills to build and launch effective recommendation systems from start to finish. You'll set clear objectives and limits, use collaborative filtering, matrix factorization, and advanced deep learning models, then fine-tune for speed, storage, latency, and expenses. Master real-world evaluation, deployment planning, and creating efficient, business-focused recommenders quickly.
Elevify advantages
Develop skills
- Design scalable recommenders by aligning business goals with ML setups.
- Build collaborative filtering and matrix factorization models for optimal speed, memory, and accuracy.
- Implement two-tower and deep ranking models for live recommendations.
- Plan production resources considering latency, storage, throughput, and costs.
- Evaluate and deploy using ANN search, A/B testing, key metrics, and secure rollout plans.
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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