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AI & MLOPS – MODEL INDUSTRIALIZATION

Category

INFORMATION TECHNOLOGY

Subcategory

Artificial Intelligence

Code

IA022

Training Objectives

Master the deployment, industrialization and maintenance of AI models in cloud and containerized environments.

Training Program

1. MLOps fundamentals & model lifecycle
2. Data versioning & experiment tracking (MLflow, DVC)
3. Containerization with Docker & Kubernetes orchestration
4. Model deployment & serving (API, cloud, serverless)
5. Monitoring, drift detection & automatic retraining
6. Project

Target Audience

Data scientists, AI engineers, experienced developers, technical architects.

Duration (Days)

5

Minimum Number of Seats

8

Maximum Number of Seats

10

Trainer

TEAM TIC Madagascar

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