MLOps1 (AWS): Deploying AI & ML Models in Production using Amazon Web Services
Acquire practical expertise in the integration of machine learning models into pipelines, optimizing performance, and efficiently managing versioning and artifacts.
software versioning,operations,data science,artificial intelligence,amazon web services,return on investment,machine learning,data engineering,forecasting
Description for MLOps1 (AWS): Deploying AI & ML Models in Production using Amazon Web Services
Collaboration with Data Scientists: Acquire fundamental competencies for effective collaboration with data scientists.
Machine Learning in workflows: Comprehend the utilization of machine learning models for predictions and their integration into automated workflows.
Performance Metrics and Logging: Assess the performance of models and pipelines and document pertinent metrics for analysis.
Versioning and Artifact Management: Adhere to optimal methods for model and data versioning, while monitoring and preserving associated 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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