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MLOps Training Course in Chennai - MLOps Course

Visualpath offers expert-led MLOps Training with real-time project scenarios. As a trusted MLOps Course in Hyderabad, we provide hands-on learning, flexible schedules, and industry-ready skills for career growth. Call 91-7032290546<br>Visit: https://www.visualpath.in/mlops-course.html<br>WhatsApp: https://wa.me/c/917032290546 <br>Visit Blog: https://visualpathblogs.com/category/mlops/

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MLOps Training Course in Chennai - MLOps Course

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  1. MLOps Training Program Overview MLOps Training Program Overview 1. Introduction 1. Introduction Machine Learning Operations (MLOps) Machine Learning Operations (MLOps) is the practice of combining Machine Learning, DevOps, and Data Engineering to automate and streamline the deployment, monitoring, and management of ML models in production. As organizations increasingly rely on AI-driven insights, MLOps has become a critical skill for data professionals, engineers, and IT teams. This training program is designed to provide hands-on knowledge of building, deploying, monitoring, and maintaining scalable ML pipelines using industry- standard tools and best practices. 2. Course Objectives 2. Course Objectives By the end of this program, learners will be able to: Understand core MLOps concepts and lifecycle stages Build automated ML pipelines Implement CI/CD for machine learning models Deploy ML models to cloud and on-premise environments Monitor, retrain, and manage models in production Apply DevOps principles to ML workflows

  2. 3. Who Should Enroll? 3. Who Should Enroll? Data Scientists Machine Learning Engineers DevOps Engineers Software Developers AI Enthusiasts IT Professionals transitioning to AI/ML roles AI/ML roles 4. Course Curriculum 4. Course Curriculum Module 1: Introduction to MLOps Module 1: Introduction to MLOps What is MLOps? ML Lifecycle & Challenges Differences Between DevOps & MLOps MLOps Architecture Overview Module 2: Version Control & Experiment Tracking Module 2: Version Control & Experiment Tracking Git for ML Projects Data Versioning MLflow for Experiment Tracking Model Registry Concepts Module 3: Data Engineering for MLOps Module 3: Data Engineering for MLOps Data Pipelines Data Validation & Quality Checks Feature Engineering & Feature Stores Module 4: Model Development & Packaging Module 4: Model Development & Packaging Reproducible ML Workflows Docker for ML Applications Environment Management Module 5: CI/CD for Machine Learning Module 5: CI/CD for Machine Learning Continuous Integration in ML Continuous Deployment Strategies GitHub Actions / Jenkins for ML Automated Testing for ML Models ML Models

  3. Module 6: Model Deployment Module 6: Model Deployment REST API Deployment with FastAPI/Flask Deployment using Docker & Kubernetes Cloud Deployment (AWS/Azure/GCP Overview) Module 7: Monitoring & Model Management Module 7: Monitoring & Model Management Model Performance Monitoring Drift Detection Logging & Alerting Model Retraining Strategies Module 8: Security Module 8: Security & Governance & Governance Model Security Best Practices Data Privacy & Compliance Access Control & Governance 5. Tools Covered 5. Tools Covered Python Git & GitHub MLflow Docker Kubernetes Jenkins / GitHub Actions FastAPI / Flask AWS / Azure Azure / GCP (Overview) 6. Hands 6. Hands- -On Projects On Projects Build an End-to-End ML Pipeline Deploy a Machine Learning Model using Docker Implement CI/CD for ML Application Monitor and Retrain a Production Model 7. 7. Training Features Training Features Real-time Projects Industry Case Studies Practical Assignments

  4. Resume Preparation Support Interview Preparation Sessions Certification of Completion 8. Learning Outcomes 8. Learning Outcomes After completing this training, participants will gain the confidence to manage ML systems in real-world production environments and become industry-ready MLOps professionals. 9. Career Opportunities 9. Career Opportunities MLOps Engineer Machine Learning Engineer AI DevOps Engineer Data Engineer Cloud ML Engineer 10. Conclusion 10. Conclusion The MLOps MLOps Training Program equips learners with practical, job-ready skills to design, automate, deploy, and monitor machine learning systems at scale. With hands-on experience and expert guidance, this program ensures you stay competitive in the rapidly evolving AI landscape. Visualpath is the Leading and Best Software Online Training Institute Visualpath is the Leading and Best Software Online Training Institute in in Hyderabad Hyderabad For More Information about Best: For More Information about Best: MLOps Online Training MLOps Online Training Contact Call/WhatsApp: Contact Call/WhatsApp: +91 +91- -7032290546 7032290546 Visit: Visit: https://www.visualpath.in/mlops https://www.visualpath.in/mlops- -course.html course.html

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