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Artificial intelligence Engineer Course

Artificial intelligence Engineer Course
from 4 to 360h flexible workload
valid certificate in your country

What will I learn?

The Artificial Intelligence Engineer Course provides a targeted pathway to constructing end-to-end high-impact recommendation systems. Participants will explore dataset discovery, feature engineering, contemporary modeling methods, training pipelines, API architecture, monitoring strategies, and deployment frameworks. Upon completion, learners will be equipped to create, launch, and sustain recommendation engines that boost user engagement and conversion rates in actual products.

Elevify advantages

Develop skills

  • Build practical recommender datasets: cleanse logs, develop sturdy features swiftly.
  • Train ranking models for e-commerce: collaborative filtering, boosting, and neural recommenders.
  • Design low-latency recommendation APIs: payloads, fallbacks, and security measures.
  • Deploy scalable recsys systems: ANN search, feature stores, and model registry.
  • Monitor production recommenders: drift detection, SLAs, A/B testing, 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.
Workload: between 4 and 360 hours

What our students are saying

I was just promoted to Intelligence Advisor for the Prison System, and the course from Elevify was crucial for me to be the chosen one.
EmersonPolice Investigator
The course was essential to meet my boss's and the company's expectations.
SilviaNurse
Really great course. Lots of valuable information.
WiltonCivil Firefighter

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