intellcert Academy · Artificial Intelligence
MLOps & AI Operations
Participants will be able to: Explain and apply the principles of MLOps Develop reproducible and version-controlled AI models Design CI/CD pipelines for AI systems.
Overview
Course contents
Our professional training courses are designed for professionals, specialists, and experts who wish to expand their knowledge in a targeted way.
Hands-on exercises
- Building a simple MLOps pipeline (conceptual or tool-supported)
- Monitoring a sample model with drift simulation
- Versioning and comparing model variants
- Simulating a CI/CD process for an ML model
Learning objectives
- explain and apply the principles of MLOps
- develop and version AI models reproducibly
- design CI/CD pipelines for AI systems
- implement monitoring strategies for production AI systems
- detect and interpret model and data drift
- implement fundamental governance requirements in AI operations
- evaluate the key building blocks of an MLOps architecture
Target audience
- Machine learning engineers
- Data scientists with production responsibility
- DevOps engineers
- Software developers in the AI field
- AI architects and platform teams
- Participants from IC-805-E-04 and IC-805-E-05
Prerequisites
- Required:
- Equivalent experience in software development or data science
- Recommended:
- Not suitable for beginners without technical or data-driven experience.
Required
- IC-805-E-04. Developing and Integrating AI Systems, or
- IC-805-E-05. RAG & Enterprise AI Systems (for contextual understanding of GenAI systems)
Certification requirement
Without certification option
Delivery format: Online. For on-site or in-house training, please send us a request via our contact form. We will get in touch with you shortly thereafter.
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Flexible scheduling is available for this service. Please contact us to arrange a convenient date.
Related courses
Related courses: Artificial Intelligence
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