Artificial intelligence Engineering Course
Dive into AI engineering for practical systems. Master scalable designs, MLOps practices, monitoring tools, testing methods, and deployment strategies to create robust, always-ready AI solutions that keep key operations running without a hitch. Build expertise in making AI that handles real demands smoothly and securely.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This AI Engineering Course equips you to build, launch, and manage dependable AI systems for everyday use. Gain skills in scalable setups for predictive upkeep, solid model building and updates, CI/CD and MLOps tools, drift and performance checks, live testing, and top security measures to ensure your AI stays quick, spot-on, and reliable in action.
Elevify advantages
Develop skills
- Design scalable AI systems with caching, autoscaling, and load management.
- Build reliable ML pipelines using CI/CD, testing, drift detection, and safe rollouts.
- Monitor live models for SLOs, latency, errors, and overall performance.
- Create predictive maintenance pipelines from sensors to alerts with clear SLAs.
- Secure AI setups with RBAC, encryption, logs, and full compliance checks.
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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