Artificial intelligence Engineer Course
Master real-world recommendation systems in the Artificial Intelligence Engineer Course—covering data prep, modeling, APIs, deployment, and monitoring—so you can design, ship, and scale high-impact AI products in modern technology environments.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
The Artificial Intelligence Engineer Course gives you a focused path to building high-impact recommendation systems from end to end. You will learn dataset discovery, feature engineering, modern modeling techniques, training pipelines, API design, monitoring, and deployment patterns. By the end, you can design, ship, and maintain recommendation engines that improve engagement and conversions in real products.
Elevify advantages
Develop skills
- Build real-world recommender datasets: clean logs, engineer robust features fast.
- 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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