Artificial intelligence Engineer Course
This course equips you with practical skills to design, build, and deploy recommendation systems that drive user engagement and business value in production environments.

4 to 360 hours flexible workload
valid certificate in your country
What will I learn?
The Artificial Intelligence Engineer Course provides a focused pathway to building high-impact recommendation systems from start to finish. You'll learn about dataset discovery, feature engineering, modern modelling techniques, training pipelines, API design, monitoring, and deployment patterns. By the end, you'll be able to design, deploy, and maintain recommendation engines that boost engagement and conversions in real products.
Elevify advantages
Develop skills
- Build real-world recommender datasets: clean logs, engineer robust features quickly.
- Train ranking models for e-commerce: CF, boosting, and neural recommenders.
- Design low-latency recommendation APIs: payloads, fallbacks, and security.
- Deploy scalable recsys systems: ANN search, feature stores, and model registry.
- Monitor production recommenders: drift, SLAs, A/B tests, and business KPIs.
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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