Artificial intelligence Engineering Course
Master AI engineering for real-world systems. Learn scalable architectures, MLOps, monitoring, testing, and deployment to build reliable, high-availability AI solutions that keep critical engineering operations running smoothly.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
The Artificial Intelligence Engineering Course shows 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 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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