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دسته بندی دوره ها

Python Programming for MLOps – AIOps – DevOps

سرفصل های دوره

Optimize MLOps, AIOps, and DevOps Workflows with Python


1. Introduction to the Course
  • 1. Welcome to the Course
  • 2. What makes this course Unique
  • 3.1 Source code and Slides.html
  • 3. Source code access.html

  • 2. Python Essentials for DevOps - MLOps - AIOps
  • 1. Introduction to the Python
  • 2. Introduction to Python.html
  • 3. Installing and Running Python
  • 4. Variables and Data Types in Python
  • 5. Variables in Python.html
  • 6. Jupyter Lab Interface Quick Tour
  • 7. Varaibles and Data Types - Hands On
  • 8. Variables in Python Quiz.html
  • 9. Comments in Python Programming Language
  • 10. Comments in Python.html
  • 11. Operators in Python Programming
  • 12. Operators in Python - Hands On
  • 13. Operators in Python.html
  • 14. Built-in Functions in Python Programming
  • 15. Built-in Functions in Python Programming - Hands On
  • 16. Built-in Functions in Python Programming - Part 2 - Hands On
  • 17. Sequences in Python
  • 18. Hands On Python Strings - Sequence Operations
  • 19. Hands On Python List - Sequence Operations
  • 20. Hands On Python Tuple - Sequence Operations
  • 21. Hands On Python Dictionary - Sequence Operations
  • 22. Hands On Python Sets - Sequence Operations
  • 23. Hands On Python Range - Sequence Operations
  • 24. Execution Control in Python
  • 25. Hands On Conditional Statements in Python
  • 26. Hands On For - Control Statements in Python
  • 27. Hands On While - Control Statements in Python
  • 28. Hands On Loop Control Statements in Python Programming
  • 29. Exception Handling in Python
  • 30. String Formatting in Python
  • 31. String Formatting - Hands On
  • 32. User Defined Functions in Python
  • 33. User Defined Functions & Scope of Variables Hands On
  • 34. Anonymous Functions - Lambda
  • 35. Advanced Functions - map, filter, list & dict comprehension
  • 36. Modules in Python
  • 37. Mudules in Python - Hands On
  • 38. Regular Expressions
  • 39. Regular Expressions Hands On
  • 40. Introduction to Object Oriented Python
  • 41. Hands On - Classes and Objects
  • 42. Object Oriented Concepts in Python
  • 43. Section Summary
  • 44. Object Oriented Concepts - Hands On

  • 3. Python File Automation - working with Files and Filesystem
  • 1. Introduction to Python File Automation
  • 2. Working with Files and Directory
  • 3. Working with Text files
  • 4. Working with Binary Files
  • 5. Working with Common File formats in DevOps - MLOps AIOps Projects
  • 6. Working with Common File formats in DevOps - MLOps AIOps Projects - Part 2
  • 7. Strategies for working with Large Files
  • 8. Encryption and Cryptography using Python
  • 9. Working with Directories in Python - os, shutil, pathlib
  • 10. Examples from MLOps

  • 4. Command Line Automation - DevOps - MLOps - AIOps
  • 1. Introduction to Working with Command Lines
  • 2. Working with sys module - Hands On
  • 3. Working with os module
  • 4. Working with subprocess module
  • 5. Working with Command Line tools
  • 6. sys.argv - command line inputs
  • 7. Argparse - Parsing Command Line inputs
  • 8. Function Decorators
  • 9. Parsing the Command line using Click
  • 10. Creating a More Complex CLI using Click
  • 11. Working with fire package

  • 5. Linux Utilities with Python
  • 1. Introduction to Python Fabric Library
  • 2. Hands On Python Fabric
  • 3. Monitor the System with psutil
  • 4. Hands On psutil

  • 6. Python Package Management
  • 1. Introduction to Python Package Management
  • 2. Hands on Package Management with Python
  • 3. Hands On MLOps Package to pypi

  • 7. Docker for DevOps - MLOps - AIOps
  • 1. Introduction to DevOps
  • 2. Introduction to Docker
  • 3. Docker Installation
  • 4. Docker Hands On

  • 8. Github Actions for Python Projects
  • 1. Introduction to GitHub Actions
  • 2. Quick Demo on github actions YAML file
  • 3. Understanding github Actions YAML file
  • 4. Create github Actions from Scratch
  • 5. Configure Workflow based on use case

  • 9. Getting Started with AWS - Prep work for CI CD Pipeline - Python Projects
  • 1. Agenda of the Section
  • 2. Create AWS Account
  • 3. Setting up MFA on Root Account
  • 4. Create IAM Account and Account Alias
  • 5. Setup CLI with Credentials
  • 6. IAM Policy
  • 7. IAM Policy generator & attachment
  • 8. Delete the IAM User
  • 9. S3 Bucket and Storage Classes
  • 10. Creation of S3 Bucket from Console
  • 11. Creation of S3 Bucket from CLI
  • 12. Version Enablement in S3
  • 13. Introduction EC2 instances
  • 14. Launch EC2 instance & SSH into EC2 Instances
  • 15. Clean Up Activity

  • 10. CI CD Pipeline with Github Actions - AWS EC2 Instances
  • 1. Agenda of the Section
  • 2. Exploring the files of CI CD Python
  • 3. Pre-requisite setup for ci cd pipeline
  • 4. Test the CI CD with AWS

  • 11. Pytest for MLOps - AIOps
  • 1. Introduction to Pytest
  • 2. pytest Hands on
  • 3. pytest fixtures

  • 12. Infrastructure Automation using Python
  • 1. Introduction to IAAC
  • 2. Introducing Pulumi
  • 3. Getting System rReady
  • 4. Pulumi Hands On
  • 5. Pulumi with Advanced Use case - EC2 with Security Group

  • 13. Python for MLOps - AIOps
  • 1. Introducing MLOps
  • 2. Hands On Demo MLOps
  • 3. Testing the MLOps

  • 14. Monitoring and Logging with Python
  • 1. Introduction to Continuous Monitoring
  • 2. Use case on Continuous Monitoring
  • 3. Introduction to Prometheus
  • 4. Architecture of Prometheus
  • 5. Metric Types of Prometheus
  • 6. Installation of Prometheus
  • 7. Introduction to Grafana
  • 8. Installation of Grafana
  • 9. Prometheus Configuration file
  • 10. Exploring the Basic Querying Prometheus
  • 11. Monitor the Infrastructure with Prometheus
  • 12. Monitor the Linux Server with Node Exporter
  • 13. Monitor the Client Application using Prometheus
  • 14. Monitor the FastAPI Application using Prometheus
  • 15. Monitor All EndPoints using Prometheus
  • 16. Create Visualization with Grafana
  • 17. Trigger Alerts with Grafana
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    تولید کننده:
    شناسه: 38451
    حجم: 7211 مگابایت
    مدت زمان: 1027 دقیقه
    تاریخ انتشار: 22 تیر 1403
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