Capabilities & Services
MLOps services
The AI Platform team offers three main MLOps Services:
- MLOps Infrastructure Stack Standardized MLOps stack, configuration options and infrastructure support provided by AI Platform
- MLOps Project Support: Assisting projects in identifying, defining and implementing MLOps tools, best practices and solutions as per their project needs.
- MLOps Training: Providing standardized MLOps training to Citizen Data Scientists, Data Scientists / ML Practitioners and Advanced Application Developers.
To see an overview of all available tools, open the following PDF file:
MLOps capabilities
Wide spectrum of MLOps capabilities include:
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Infrastructure & Environment Management
- MLOps Infrastructure Automation
- Virtual Environment Automation
- Persistent Storage Volumes
- Container Image Storage & Version Control
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Development & Experimentation
- Jupyter Notebooks / Notebook Server for Experimentation
- Data Versioning
- Experiment Tracking
- AutoML
- Hyperparameter Tuning
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Pipelines & Automation
- Pipeline Development
- Pipeline Automation
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Model Lifecycle Management
- Model Tracking & Registry
- Model Deployment / Serving
- Model Monitoring
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Data & Feature Management
- Feature Store (Coming Soon)