MLOps Course in Hyderabad | Machine Learning Training in Ameerpet

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MLOPS

• Bridging the Gap Between Machine Learning and
  Operations

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Introduction to MLOps

• What is MLOps?
• Definition MLOps (Machine Learning Operations)
  is a set of practices to deploy and maintain
  machine learning models in production reliably
  and efficiently.
• Goal Integrate ML system development (Dev) and
  operations (Ops).

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Importance of MLOps

• Why MLOps?
• Scalability Ensures models can handle
  production-level workloads.
• Reproducibility Facilitates consistent and
  repeatable processes.
• Collaboration Enhances collaboration between
  data scientists and operations teams.
• Monitoring Continuous monitoring of model
  performance and health.

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MLOps Lifecycle

• Data Collection Gather and pre-process data.
• Model Development Train and validate machine
  learning models.
• Deployment Deploy models into production.
• Monitoring Continuously monitor model
  performance.
• Maintenance Update and retrain models as needed.

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Key Components of MLOps

• CI/CD Pipelines Continuous Integration and
  Continuous Deployment.
• Version Control Tracking changes in data, code,
  and models.
• Automated Testing Ensuring model quality and
  performance.
• Infrastructure Management Managing computational
  resources.

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CI/CD in MLOps

• Continuous Integration (CI) Automated testing
  and integration of code changes.
• Continuous Deployment (CD) Automated deployment
  of models to production environments

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MLOps Tools and Technologies

• Version Control Git, DVC
• CI/CD Jenkins, GitHub Actions
• Model Training TensorFlow, PyTorch
• Deployment Kubernetes, Docker
• Monitoring Prometheus, Grafana

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Challenges in MLOps

• Data Management Handling large volumes of data.
• Model Versioning Tracking changes and updates.
• Infrastructure Complexity Managing diverse tools
  and platforms.
• Collaboration Bridging the gap between data
  scientists and IT operations.

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Future of MLOps

• Trends Increased automation, more robust tools,
  integration with AI and IoT.
• Opportunities Enhanced predictive analytics,
  real-time processing, improved model management.

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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 E-Mail
online_at_visualpath.in
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