Introduction to Network Automation (Coursera)

Introduction to Network Automation (Coursera)

The Network infrastructure industry has undergone a significant transformation in recent years, with an increasing need for automation due to factors such as a demand for faster and more reliable network deployments. Therefore, there is a growing need for network engineers skilled in automation and programmability.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

This course is primarily intended for network engineers, systems engineers, network architects, and managers interested in learning the fundamentals of network automation.
By the end of the course, you will be able to:

  • Articulate the role network automation and programmability plays in the context of end-to-end network management and operations.
  • Interpret Python scripts with fundamental programming constructs built for network automation use cases.

To be successful in this course, you should be proficient in fundamental network routing & switching technologies, understand the basics of Python programming (3-6 mos exp.), and have some familiarity with Linux.
Course 1 of 5 in the Network Automation Engineering Fundamentals Specialization.

Syllabus

WEEK 1
Course Introduction for Introduction to Network Automation
In this module, we will review the topics and what you will learn in this course.
Examining Network Management and Operations
Network operations have not changed in decades. For years, the console, Telnet, and Secure Shell (SSH) along with the CLI were the primary methods for managing and operating networks of any size. With the rise of programmatic interfaces on network devices and the growing need for enhanced reliability, assurance, and predictability, network operations are now in the midst of a radical shift in how devices are deployed and operated. This section reviews how devices have been managed historically and provides a glimpse into the future of network operations.

WEEK 2
Using Python for Network Automation
Network automation is the future of network operation. Today, network engineers need to know how to interact with their network devices using application programming interfaces (APIs) and programmatic interfaces, and at a minimum, they must understand some fundamentals of coding. In this section, you will explore a programming language that is widely used in network automation—Python. You will start by learning different data types that Python supports, and then learn the differences between modules and packages and how to use them to your benefit. Next, you will learn about a module that lets you interact with devices with code. Finally, you will create your own module and interact with the code inside it.

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Applied Calculus with Python (Coursera) Coursera
Johns Hopkins University

Applied Calculus with Python (Coursera)

This course is designed for the Python programmer who wants to develop the foundations of Calculus to help solve challenging problems as well as the student of mathematics looking to learn the theory and numerical techniques of applied calculus implemented in Python. By the end of this course, you will have learned how to apply essential calculus concepts to develop robust Python applications that solve a variety of real-world challenges.

Nov 23rd 2026
5-12 Weeks
Power Query Fundamentals (Coursera) Coursera
Corporate Finance Institute

Power Query Fundamentals (Coursera)

In this online Power Query Fundamentals course, we’ll explore the world of data transformation and automation. You’ll learn to extract data from multiple different sources, and transform it into layouts more suited to analysis. We will show you how to automate data connections and transformations, as well as how to extract and consolidate data from multiple files. Finally, we’ll end by looking at how to deal with common errors.

Nov 23rd 2026
5-12 Weeks
Developing AI Applications on Azure (Coursera) Coursera
LearnQuest

Developing AI Applications on Azure (Coursera)

This course introduces the concepts of Artificial Intelligence and Machine learning. We'll discuss machine learning types and tasks, and machine learning algorithms. You'll explore Python as a popular programming language for machine learning solutions, including using some scientific ecosystem packages which will help you implement machine learning.

Nov 16th 2026
5-12 Weeks
Big Data Analysis Deep Dive (Coursera) Coursera
Alibaba Cloud Academy

Big Data Analysis Deep Dive (Coursera)

The job market for architects, engineers, and analytics professionals with Big Data expertise continues to increase. The Academy’s Big Data Career path focuses on the fundamental tools and techniques needed to pursue a career in Big Data. This course includes: data processing with python, writing and reading SQL queries, transmitting data with MaxCompute, analyzing data with Quick BI, using Hive, Hadoop, and spark on E-MapReduce, and how to visualize data with data dashboards. Work through our course material, learn different aspects of the Big Data field, and get certified as a Big Data Professional!

Nov 23rd 2026
5-12 Weeks
Data Visualization with Python & R for Engineers (Coursera) Coursera
Northeastern University

Data Visualization with Python & R for Engineers (Coursera)

The primary objective of this course is to offer students an opportunity to learn how to use visualization tools and techniques for data exploration, knowledge discovery, data storytelling, and decision making in engineering, healthcare operations, manufacturing, and related applications. This course covers basics of data mining and visualization, and Python. It also introduces students to static visualization charts and techniques that reveal information, patterns, interactions.

Nov 23rd 2026
4 Weeks
Machine Learning: Concepts and Applications (Coursera) Coursera
University of Chicago

Machine Learning: Concepts and Applications (Coursera)

This course gives you a comprehensive introduction to both the theory and practice of machine learning. You will learn to use Python along with industry-standard libraries and tools, including Pandas, Scikit-learn, and Tensorflow, to ingest, explore, and prepare data for modeling and then train and evaluate models using a wide variety of techniques. Those techniques include linear regression with ordinary least squares, logistic regression, support vector machines, decision trees and ensembles, clustering, principal component analysis, hidden Markov models, and deep learning.

Nov 16th 2026
5-12 Weeks
An Introduction to Programming using Python (Coursera) Coursera
University of Leeds

An Introduction to Programming using Python (Coursera)

Maximise your employability, by learning the basics of coding in Python. Python is a versatile programming language used for developing websites and software, task automation, data analysis and more. In this course, you'll embark on an exciting journey into the world of Python and gain valuable skills that will enable you to start thinking about a career in programming.

Nov 16th 2026
2 Weeks
Machine Learning for Accounting with Python (Coursera) Coursera
University of Illinois at Urbana-Champaign

Machine Learning for Accounting with Python (Coursera)

This course, Machine Learning for Accounting with Python, introduces machine learning algorithms (models) and their applications in accounting problems. It covers classification, regression, clustering, text analysis, time series analysis. It also discusses model evaluation and model optimization. This course provides an entry point for students to be able to apply proper machine learning models on business related datasets with Python to solve various problems.

Nov 16th 2026
5-12 Weeks
Practical Python for AI Coding 2 (Coursera) Coursera
Korea Advanced Institute of Science and Technology - KAIST

Practical Python for AI Coding 2 (Coursera)

This course is for a complete novice of Python coding, so no prior knowledge or experience in software coding is required. This course selects, introduces and explains Python syntaxes, functions and libraries that were frequently used in AI coding. In addition, this course introduces vital syntaxes, and functions often used in AI coding and explains the complementary relationship among NumPy, Pandas and TensorFlow, so this course is helpful for even seasoned python users.

Nov 23rd 2026
5-12 Weeks
Programación en Python (Coursera) Coursera
Universidad de los Andes

Programación en Python (Coursera)

¡Te damos la bienvenida al curso de Programación en Python de la Universidad de los Andes! El propósito de este curso es ofrecerte un ambiente interactivo para que desarrolles tus habilidades de pensamiento computacional, aprendas a programar en el lenguaje Python y te entrenes en la resolución de problemas utilizando un computador. La estrategia pedagógica empleada es el aprendizaje activo basado en casos.

Nov 23rd 2026
4 Weeks
Cloud Networking (Coursera) Coursera
University of Illinois at Urbana-Champaign

Cloud Networking (Coursera)

In the cloud networking course, we will see what the network needs to do to enable cloud computing. We will explore current practice by talking to leading industry experts, as well as looking into interesting new research that might shape the cloud network’s future. This course will allow us to explore in-depth the challenges for cloud networking—how do we build a network infrastructure that provides the agility to deploy virtual networks on a shared infrastructure, that enables both efficient transfer of big data and low latency communication, and that enables applications to be federated across countries and continents? Examining how these objectives are met will set the stage for the rest of the course.

Nov 9th 2026
5-12 Weeks