MLOps Course in Hyderabad | MLOps Training Online

1
What is MLOps?

• A Simple Overview

• Here is where your Career begins

2
Introduction to MLOps

• MLOps stands for Machine Learning Operations
• Its the practice of managing the ML lifecycle
• Focuses on streamlining model deployment and
  monitoring
• Combines data science, DevOps, and IT practices

3
TABLE OF CONTENTS

• Helps move ML models from development to
  production faster
• Ensures models are continuously updated and
  optimized
• Reduces manual errors with automation
• Bridges the gap between data science and IT teams

4
Key Components of MLOps

• Version Control Tracks changes in data, code,
  and models
• CI/CD Pipelines Automates model building,
  testing, and deployment
• Monitoring Tracks model performance in real time
• Collaboration Encourages teamwork between
  developers and operations

5
MLOps vs. DevOps

• MLOps focuses on ML models, DevOps on software
• Data and model management are unique to MLOps
• MLOps handles continuous training and retraining
  of models
• Both aim to streamline deployment and improve
  scalability

6
How MLOps Improves ML Projects

• Automates the deployment of models, saving time
• Ensures that models adapt to changing data (model
  drift)
• Helps scale ML models efficiently across
  environments
• Provides transparency and reproducibility across
  teams

7
MLOps Tools You Can Use

• Kubeflow An open-source platform for ML
  orchestration
• MLflow For tracking experiments, models, and
  deployment
• TensorFlow Extended (TFX) End-to-end ML
  pipelines
• Docker Kubernetes Containerization and
  orchestration tools

8
Conclusion

• MLOps simplifies managing the ML lifecycle
• It enables faster, more reliable, and scalable AI
  solutions
• Collaboration and automation are key to MLOps
  success
• Adopt MLOps to ensure your AI systems stay
  effective over time

9
CONTAC

• Machine Learning Operations Training
• Address- Flat no 205, 2nd Floor,
• Nilgiri Block, Aditya Enclave,
• Ameerpet, Hyderabad-1
• Ph. No 91-9989971070 
• Visit WWW.Visualpath.in

10
THANK YOU
Visit www.visualpath.in