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MLOps Course in Hyderabad | MLOps Training
- 1. What Are theKey Components of MLOps +91-7032290546
- 2. Introduction to MLOps - MLOps combines Machine Learning and DevOps practices - Aims to automate and monitor the ML lifecycle - Supports collaboration between data science and operations teams - Enhances model reliability, scalability, and reproducibility +91-7032290546
- 3. Data Engineering &Data Management - Collecting, cleaning, and transforming raw data - Data versioning to track changes over time - Data validation and quality checks - Scalable data pipelines (batch and real-time) +91-7032290546
- 4. Model Development -Experiment tracking and version control for models - Feature engineering and selection processes - Use of notebooks, IDEs, and ML frameworks - Collaboration and reproducibility in code and experiments +91-7032290546
- 5. Model Training & Validation - Automated and scalable training pipelines - Hyperparameter tuning and optimization - Cross-validation and performance evaluation - Logging training metrics and artifacts +91-7032290546
- 6. Model Deployment -Deployment strategies: batch, online, and edge - CI/CD pipelines for ML models - Containerization using Docker and orchestration with Kubernetes - Model registry and release management +91-7032290546
- 7. Monitoring & Governance - Model performance monitoring in production - Drift detection: data, concept, and performance drift - Logging, alerting, and automated retraining triggers - Compliance, security, and audit trails +91-7032290546
- 8. Conclusion & Best Practices - MLOps ensures end-to-end ML lifecycle automation - Enables scalability, reliability, and collaboration - Focus on reusability and continuous improvement - Embrace tools like MLflow, Kubeflow, and TFX for implementation +91-7032290546
- 9. +91-7032290546 Contact MLOPS Address:- Flat no:205, 2nd Floor, Nilgiri Block, Aditya Enclave, Ameerpet, Hyderabad-1 Ph. No: +91-7032290546 Visit: WWW.VISUALPATH.IN E-Mail: online@visualpath.in
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