MLOps Course in Hyderabad | MLOps Training

1. What Are the Key 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. Contact MLOPS Address:- Flat no: 205, 2nd Floor, NilgiriBlock, Aditya Enclave,Ameerpet, Hyderabad-1  Ph. No:+91-7032290546 Visit: WWW.VISUALPATH.IN E-Mail: online@visualpath.in +91-7032290546

10. THANK YOU Visit: www.visualpath.in +91-7032290546