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Visualpath offers the best MLOps Training in Hyderabad, conducted by real-time experts for hands-on learning. Our MLOps Training in India is available and provided to individuals globally in the USA, UK, Canada, Dubai, and Australia. You can access our course anywhere in the world. Contact us at 91-7032290546<br>Visit https://www.visualpath.in/mlops-online-training-course.html <br>WhatsApp: https://wa.me/c/917032290546<br>Visit Blog: https://visualpathblogs.com/category/mlops/<br>
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Introduction to MLOps in 2025 • MLOpsintegrates ML, DevOps, and Data Engineering • Growing demand for production-ready ML models • Automation, scalability, and monitoring are key • Evolving tools and platforms require continuous learning
Skill 1 – Data Engineering for ML • Building robust data pipelines • Handling big data with Spark, Kafka, etc. • Data cleaning, validation, and transformation • Real-time vs batch processing techniques
Skill 2 – Model Deployment & Serving • Deploying ML models using Docker & Kubernetes • Using APIs (Flask, FastAPI, TensorFlow Serving) • Cloud deployment (AWS Sagemaker, Azure ML, GCP Vertex AI) • Low-latency, scalable serving infrastructure
Skill 3 – CI/CD for Machine Learning • Automating training and deployment workflows • Git-based version control for code & models • ML-specific CI/CD tools (MLflow, Kubeflow Pipelines) • Testing & validation in pipelines
Skill 4 – Model Monitoring & Maintenance • • Tracking accuracy drift and data drift • • Logging predictions & errors • • Real-time alerting systems • • Continuous retraining strategies
Skill 5 – Cloud & Multi-Cloud MLOps • Using AWS, Azure, and GCP for ML workflows • Hybrid & multi-cloud deployment strategies • Cost optimization in cloud MLOps • Security & compliance in cloud environments
Conclusion & Next Steps • MLOps is essential for scaling ML projects in 2025 • Data scientists must blend coding, data, and DevOps skills • Hands-on practice with real-world projects is key • Start learning one skill at a time and build your portfolio
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