Python Programming for MLOps – AIOps – DevOps

Published on April 5th, 2022 and Last Verified on July 1st, 2024,
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Course Name : Python Programming for MLOps – AIOps – DevOps
Short description : Optimize MLOps, AIOps, and DevOps Workflows with Python
Duration : 17 hrs
Avg Rating : 4.7
Original Price : $119.99
Discouont Price : $12.99
Provider : Udemy
Course Type : Self Paced Online Course. Lifetime Access

What you’ll learn

  • Apply Python confidently to infrastructure and operations tasks: Write clean, modular Python code using core principles, file handling, modules, and OOP.
  • Automate file-related operations: Efficiently manipulate, encrypt, and work with various file formats commonly used in DevOps, MLOps, and AIOps.
  • Create interactive command-line applications: Build CLIs with Python to automate tasks and streamline workflows.
  • Effectively manage Linux systems remotely: Use Python’s Fabric library for remote execution and psutil for system monitoring
  • Create, manage, and publish Python packages: Organize code into reusable packages and distribute them on platforms like PyPI.
  • Utilize Docker for application deployments: Understand Docker image creation, containerization, and deployment.
  • Automate workflows with GitHub Actions: Design and configure CI/CD pipelines using GitHub Actions.
  • Implement CI/CD workflows utilizing AWS services: Design pipelines that leverage S3 for storage and EC2 instances for deployment.
  • Write tests specifically for MLOps projects: Ensure MLOps reliability and maintainability using Pytest.
  • Provision and manage infrastructure using code: Apply Infrastructure as Code (IaC) principles with Pulumi’s Python SDK.
  • Experience a complete MLOps pipeline: Build an end-to-end MLOps solution integrating tools and concepts learned throughout the course.
  • Set up continuous monitoring for improved visibility: Implement monitoring and alerting using Prometheus and Grafana.
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