Network Automation with Python

Offered by School of Engineering

Short Course / 4 days / TGS-2020504456

Note: Synchronous E-Learning
Course Information
Learning Outcomes
Course Schedule
Lesson Plan
Certification
Entry Requirements
Course Fees

Course Information

As a key enabler in digital transformation, network automation changes the way organizations conduct business.

Organizations synergize and harness power from various platforms (such as clouds, IoT, social networks, ERP, MES, ICS, and CSS) with interconnected networks. However, for organizations to remain competitive and agile, manual and repetitive network configuration and monitoring tasks must be simplified and automated.

Python, has transformed software, IT, finance, banking, insurance and healthcare industries with its AI and data science libraries. Therefore, network automation with Python is a must-know skill today.

Learning Outcomes

Even with minimum IT or programming skills, you can pick up essential Python programming skills in the first week of the course. In the second week, you will perform network configuration and monitoring tasks using Python.

Data visualization and real case studies will be covered throughout the course. At the end of the course, you will have solid hands-on experience with Jupyter Lab and Visual Studio Code, in terms of writing in Markdown documents and debugging Python code.

Course 
Schedule

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Course Date: TBC
Application Period: TBC
Duration: 4 days
Time: 9am to 6pm
Delivery Mode: Synchronous e-Learning
Venue: Online

Ngee Ann Polytechnic reserves the right to reschedule / cancel any programme, modify the fees and amend information without prior notice.

Lesson Plan

Part 1 (Tuesdays and Wednesdays in the first week)
  • Python syntax, naming convention for variables, functions and modules
  • Basic data types and various functions involving type conversion
  • Standard input and output
  • Flow Control and loop
  • Mutable and immutable objects
  • Collections: lists, tuples, sets, dictionaries and various functions involving collections
  • Classes and objects
  • File IO with text and binary data
  • Modules and libraries
  • Threading and multiprocessing,/li>
  • Introduction to web scrapping
  • Pandas
  • Generator and list comprehension
Part 2 (Tuesdays and Wednesdays in the second week)
  • Command-line interface
  • Logging
  • Netmiko
  • Regular expression and finite state machine for text parsing
  • JSON and YAML
  • Task scheduler
  • Template engine
  • Interface to Microsoft Excel and SQL database

Certification

Certification

Certificate of participation will be awarded to participants who has achieved at least 75% attendance and passed an online hands-on assignment.


Entry Requirements

Course Fees

Funding period for this course is from 11 May 2020 to 30 Sep 2024.

SkillsFuture Credit
All Singaporeans aged 25 and above can use their $500 SkillsFuture Credit from the government to pay for a wide range of approved skills-related courses. Visit the SkillsFuture Credit website to choose from the courses available on the Training Exchange course directory.

Union Training Assistance Programme (UTAP)
NTUC members enjoy 50% unfunded course fee support for up to $250 each year (or up to $500 for NTUC members aged 40 years old and above) when you sign up for courses supported under UTAP (Union Training Assistance Programme). Please visit e2i’s website to find out more.

Enhanced training support for SMEs
For enhanced training support for SMEs, enter SME in the promo code during course application.

Long Term Visit Pass Plus (LTVP+) Holders
Please furnish the following documents to the course administrator to qualify for SSG funding:
Self-sponsored learner (**LTVP+): Copy of your green visit pass card, with the word ‘PLUS’ on the back of the card.
Co-sponsored learner (##LTVP+): Copy of valid and current Letter of Consent (LOC) from MOM

Ngee Ann Polytechnic reserves the right to reschedule/cancel any programme, modify the fees and amend information without prior notice.

(Course fee is payable upon acceptance. It is inclusive of 7% GST and subject to review.)

Applicants / Eligibility Fees
Full course fees$952.30