MLOps1 (Azure): Deploying AI & ML Models in Production using Microsoft Azure ML
The material equips data engineers to incorporate machine learning models into pipelines while adhering to best practices in collaboration, version control, and artifact management.
machine learning,data engineering,ai,roi,microsoft azure,data science,software versioning,ops,forecasting,ai & machine learning
Description for MLOps1 (Azure): Deploying AI & ML Models in Production using Microsoft Azure ML
Collaborating with Data Scientists: Comprehend the essential abilities required for data engineers to collaborate effectively with data scientists.
Integration of Machine Learning: Acquire the skills to utilize machine learning models for predictive analytics and incorporate them into automated workflows.
Performance Evaluation: Assess the efficacy of models and pipelines while documenting pertinent indicators.
Versioning and Artifact Management: Implement optimal techniques for versioning models and data, and oversee the management of model and data artifacts.
Level: Intermediate
Certification Degree: Yes
Languages the Course is Available: 1
Offered by: On edX provided by Statistics.comX
Duration: 5�7 hours per week 4 weeks (approximately)
Schedule: Flexible
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