Artificial intelligence Engineering Course
Gain expertise in AI engineering for production-ready systems. The course covers scalable designs, MLOps practices, continuous monitoring, rigorous testing, and secure deployment strategies to create dependable, high-performance AI solutions that support seamless engineering operations and maintain uptime under demanding conditions.

flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
This AI Engineering course teaches designing, deploying, and maintaining robust AI systems for real-world use. You will explore scalable architectures, model development with versioning, MLOps and CI/CD tools, drift and performance monitoring, production testing, and security measures to ensure AI solutions remain efficient, precise, and reliable in live environments.
Elevify advantages
Develop skills
- Design scalable AI architectures with caching, autoscaling, and load management techniques.
- Build dependable ML pipelines using CI/CD, testing protocols, drift detection, and controlled rollouts.
- Monitor live AI models by tracking service levels, latency metrics, error rates, and overall efficacy.
- Develop predictive maintenance systems from sensor inputs to timely alerts with defined service agreements.
- Implement secure AI setups featuring role-based access, data encryption, logging, and regulatory adherence.
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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