- COURSE
Network Automation with Python Fast Track (PY202FT)
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This course provides a practical and hands-on approach to network automation using Python. It’s designed to empower network engineers to move beyond manual, time-consuming command-line interfaces. Participants will learn to leverage a full-featured programming language for advanced data manipulation, multi-vendor automation, and seamless integration with the broader IT ecosystem. The hands-on labs focus on automating real-world network devices from major vendors like Cisco, Arista, and others.
Upcoming Class Dates and Times
All Sunset Learning courses are guaranteed to run
Course Outline and Details
Prerequisites
Although not required, students with some experience programming will most appreciate this hands-on course.
Target Audience
- Network Engineer
- Network Architect
- DevOps/SRE (Site Reliability Engineer)
- Network Operations Center (NOC) Technician/Analyst
- IT Infrastructure Manager
Course Objectives
- Apply Python to Network Tasks: Use Python fundamentals to programmatically interact with network devices.
- Master Multi-Vendor Automation: Confidently manage and configure devices from different vendors via both CLI and APIs.
- Automate with Data: Parse and manipulate structured and semi-structured data formats like JSON and CLI output.
- Build Reliable Solutions: Securely manage credentials and version control network configurations to ensure reliability.
Course Outline
Python Fundamentals for Networking
- List and Dict Modeling
- Python Data to JSON
- Python Data to YAML
- Read from Files
- CSV data – Standard Library and pandas dataframes
- Functions and Control Flow
- Modules, Libraries, and Exception Handling
CLI Automation
- Introducing Paramiko
- Automating Commands Across SSH
- Paramiko and SFTP
- Python Telnet Client
- Performing ICMP Checks
Multi-Vendor Automation
- Netmiko for Router and Switch Automation
- Python to Cisco NX-OS
- Getting Switch Configuration with NAPALM
- Switch Validation and NAPALM
- Exploring Network Interfaces
Parsing and Data Handling
- Python and Regular Expression for Searching
- Parsing Semi-Structured Data with Regex
- Python for Network Captures and Wireshark
- Examining Network Capture pcaps Files with termshark
API-Driven Automation
- APIs, pip, and requests
- Restful Open APIs with requests
- Interacting with APIs
- Restful Open APIs with Standard Library
- API-Driven Network Automation with requests
Data Logging and Reliability
- Lightweight Database Interactions
- Data Logging and State Tracking
- Controlling run time with Environmental Variables
- Using Argparse
Advanced and Optional Topics
- Automating HTTP Requests
- Automating HTTP Requests with Async IO
- Introduction to FastAPI
- Web Scraping Data with Beautiful Soup