BSDA5014
10 Internal Entities Declared
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218 - MLOps Lifecycle & CRISP-ML FrameworkAccess ->
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219 - Experiment Tracking with MLflow and W&BAccess ->
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220 - Data & Model Versioning with DVC and Git-LFSAccess ->
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221 - Feature Stores- Feast, Feature Engineering, and Online-Offline ServingAccess ->
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222 - Containers & Docker- Dockerfiles, Images, and Model ContainerizationAccess ->
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223 - Orchestration- Kubernetes & Kubeflow — Scaling ML PipelinesAccess ->
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224 - CI-CD for ML- GitHub Actions, Jenkins, and Continuous TrainingAccess ->
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225 - Model Serving- APIs, Containers, and Inference OptimizationAccess ->
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226 - Model Monitoring- Data Drift, Concept Drift, and ObservabilityAccess ->
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227 - A-B Testing & Shadow Deployment- Canary Releases and Rollout StrategiesAccess ->