Artificial Intelligence Algorithms Course
Dive deep into AI recommendation algorithms from start to finish, covering collaborative filtering, matrix factorization, advanced two-tower deep models, and ANN search techniques. Learn to design, scale up, and assess production systems tailored for real-world technology products, ensuring they meet business needs effectively.
flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
This course equips you with hands-on skills to build and launch complete recommendation systems using AI. You will set objectives and limits, use collaborative filtering, matrix factorization, and deep learning models, then fine-tune for indexing, serving speed, latency, and expenses. Gain expertise in assessing with actual metrics, managing deployments, and creating efficient, business-focused recommenders quickly.
Elevify advantages
Develop skills
- Design scalable recommendation systems by converting business objectives into exact machine learning frameworks.
- Develop collaborative filtering and matrix factorization models with focus on speed, memory efficiency, and precision.
- Deploy cutting-edge two-tower and deep ranking models for instant recommendation delivery.
- Strategise production resources including latency modelling, storage, request rates, and cost management.
- Assess and launch systems using ANN search, A/B testing, key metrics, and secure rollout methods.
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 workload.What our students say
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