Visualpathranjith
Uploaded on May 24, 2025
Category
Education
Accelerate your AI career with our MLOps Course in Hyderabad. Gain real-time skills in model deployment, automation, and monitoring with expert-led MLOps Training Online. Join now to access hands-on labs, projects, and certification support. Call us: +91-7032290546 Visit https://www.visualpath.in/mlops-online-training-course.html WhatsApp: https://wa.me/c/917032290546 Visit Blog: https://visualpathblogs.com/category/mlops/
Category
Education
MLOps Course in Hyderabad | MLOps Training
What Are the Key
Components of
MLOps
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7032290546
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
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7032290546
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)
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7032290546
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
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7032290546
Model Training &
Validation
- Automated and scalable training pipelines
- Hyperparameter tuning and optimization
- Cross-validation and performance evaluation
- Logging training metrics and artifacts
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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
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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
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7032290546
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
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7032290546
Contact
MLOPS
Address:- Flat no: 205, 2nd
Floor, Nilgiri Block, Aditya
Enclave, Ameerpet, Hyderabad-
1
Ph. No: +91-
7032290546
Visit:
WWW.VISUALPATH.IN +91-
7032290546
E-Mail:
[email protected]
THANK YOU
Visit: www.visualpath.in
+91-
7032290546
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