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Artificial intelligence Engineering Course

Artificial intelligence Engineering Course
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.
Workload: between 4 and 360 hours

What our students say

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

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