Build job-ready skills with our Classroom and Online MLOps Training at WebAsha Technologies. It is hands-on, practical and focused on employability.
Training Overview:
is a hands-on, job-oriented program on MLOps - the practice of taking machine learning models reliably to production. It covers the ML lifecycle, experiment tracking (MLflow), data and model versioning, building ML pipelines, containerizing models with Docker, deploying and serving models, CI/CD for ML, monitoring and drift detection, and orchestration - preparing you for MLOps and ML engineer roles.
Intended Audience:
This course is ideal for ML engineers, data scientists and DevOps professionals who want to take machine learning models reliably to production with MLOps.
Topics Covered:
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ML Lifecycle: From model to production.
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Experiment Tracking: MLflow.
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Versioning: Data and model (DVC).
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ML Pipelines: Reproducible workflows.
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Containerization: Docker for ML.
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Deployment: Serving models.
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CI/CD for ML: Automated delivery.
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Monitoring & Drift: Reliable models.
Requirements:
Basic computer familiarity is recommended. Online participants need a stable internet connection and a laptop/desktop for the live labs.
Pre-Requisites:
Basic Python and familiarity with machine learning are recommended. Our Machine Learning course is an ideal companion; DevOps familiarity helps.
Career Benefits:
MLOps is a well-paid specialisation. In India, MLOps engineers typically earn ₹6 LPA to ₹44+ LPA.