Artificial intelligence Engineering Course
This course equips engineers with the skills to build, deploy, and maintain production-ready AI systems, focusing on scalability, reliability, monitoring, predictive maintenance, and security.

flexible workload from 4 to 360h
valid certificate in your country
What will I learn?
The Artificial Intelligence Engineering Course teaches you how to design, deploy, and maintain reliable AI systems in real-world environments. Learn scalable architectures for predictive maintenance, robust model development and versioning, CI/CD and MLOps tooling, monitoring for drift and performance, production testing, and strong security practices so your AI solutions stay fast, accurate, and dependable in production.
Elevify advantages
Develop skills
- Design scalable AI systems: master caching, autoscaling, and peak-load control.
- Engineer reliable ML pipelines: CI/CD, testing, drift checks, and safe releases.
- Monitor production models: track SLOs, latency, errors, and model performance.
- Architect predictive maintenance flows: sensor-to-alert data paths and SLAs.
- Secure AI infrastructure: enforce RBAC, encryption, audit logs, and compliance.
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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