Udacity

HTTP & Web Servers (Udacity)

Offered by Udacity,
HTTP & Web Servers (Udacity)

How does HTTP work? This course is intended for budding full-stack web developers to master the basics of HTTP, the protocol that underlies all web technology. In this course, you'll explore HTTP directly, talking with web servers and browsers by hand. You'll write and deploy low-level web applications in Python. And you'll learn more about how HTTP connects with other web technologies.

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

HTTP is the language of the web. Learning how it works is an essential step to becoming a web developer. It's also incredibly handy for any developer, given the omnipresence of HTTP today.
This course focuses on the backend side of web technology, and at a relatively low level. By writing code that speaks HTTP directly, you will gain a greater understanding of how each piece of the web puzzle fits together.

What You Will Learn

LESSON 1
Requests & Responses

  • Explore HTTP by running a web server on your own computer
  • Interact with servers and browsers from the command line
  • Discover HTTP requests and responses headers status codes and other features of the protocol

LESSON 2
The Web from Python

  • Write code that speaks HTTP both as a server and a client
  • Build Python code that accepts HTML form submissions accesses web services and constructs formatted responses

LESSON 3
HTTP in the Real World

  • Connect your knowledge of HTTP basics with the rest of the world
  • Deploy services you've written so that other people can see them
  • Investigate web server capacity cookies security and new developments in the protocol

Prerequisites and Requirements
This course is intended for students with a working knowledge of Python, HTML, and the Unix shell. A Mac, Windows, or Linux computer is required.In this course, you will run commands on your computer using a Unix-like shell environment (command line). A basic familiarity with the terminal, working with files and command-line programs, and the git version control software will be very useful.You will read and write object-oriented Python code using a text editor, and will read Python module documentation to learn about new modules. You will also write code that sends HTML to browsers, so a basic knowledge of HTML markup will come in handy. CSS and JavaScript are not required.This course does not use a virtual machine (VM). You will be installing and writing software on your own computer. You will need a text editor and the ability to install software.Elements of this course require communicating with web services including Github and Heroku.

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

Related Courses

An Introduction to Interactive Programming in Python (Part 1) (Coursera) Coursera
Rice University

An Introduction to Interactive Programming in Python (Part 1) (Coursera)

CS: Programming

This two-part course is designed to help students with very little or no computing background learn the basics of building simple interactive applications. Our language of choice, Python, is an easy-to learn, high-level computer language that is used in many of the computational courses offered on Coursera. To make learning Python easy, we have developed a new browser-based programming environment that makes developing interactive applications in Python simple.

Oct 5th 2026
5-12 Weeks
Programming Python Interactive Applications
Details
Client-Server Communication (Udacity) Udacity
Udacity,Google

Client-Server Communication (Udacity)

CS: Programming

HTTP/1 to HTTP/2 and all things Security. We use websites all the time, but how does clicking a link in your browser or typing in a URL in the address bar get you to a website? How does the server know what information you're looking for or how to send you that information once it's figured that out? How can you protect your users from attackers? Dig into this course and you'll be able to answer these questions!

Self Paced
Self-Paced
Security HTTP Web Applications
Details
The Fundamental of Data-Driven Investment (Coursera) Coursera
Sungkyunkwan University - SKKU

The Fundamental of Data-Driven Investment (Coursera)

Statistics & Data Analysis Data Science

In this course, the instructor will discuss the fundamental analysis of investment using R programming. The course will cover investment analysis topics, but at the same time, make you practice it using R programming. This course's focus is to train you to do the elemental analysis for investment management that you might need to do in your job every day. Additionally, the study note to do using Python programming will be provided.

Oct 5th 2026
4 Weeks
Python Algorithms R Programming
Details
Principles of Computing (Part 2) (Coursera) Coursera
Rice University

Principles of Computing (Part 2) (Coursera)

CS: Software Engineering CS: Theory

This two-part course introduces the basic mathematical and programming principles that underlie much of Computer Science. Understanding these principles is crucial to the process of creating efficient and well-structured solutions for computational problems. To get hands-on experience working with these concepts, we will use the Python programming language. The main focus of the class will be weekly mini-projects that build upon the mathematical and programming principles that are taught in the class.

Oct 5th 2026
4 Weeks
Programming Python Computing
Details
Intro to Relational Databases (Udacity) Udacity
Udacity

Intro to Relational Databases (Udacity)

Computer Science

SQL, DB-API, and More! This course is a quick, fun introduction to using a relational database from your code, using examples in Python. You'll learn the basics of SQL (the Structured Query Language) and database design, as well as the Python API for connecting Python code to a database. You'll also learn a bit about protecting your database-backed web apps from common security problems. After taking this course, you'll be able to write code using a database as a backend to store application data reliably and safely.

Self Paced
Self-Paced
Python Databases SQL
Details
Spark (Udacity) Udacity
Udacity,Insight

Spark (Udacity)

Data Science

Master how to work with big data and build machine learning models at scale using Spark! In this course, you’ll learn how to use Spark to work with big data and build machine learning models at scale, including how to wrangle and model massive datasets with PySpark, the Python library for interacting with Spark. In the first lesson, you will learn about big data and how Spark fits into the big data ecosystem. In lesson two, you will be practicing processing and cleaning datasets to get comfortable with Spark’s SQL and dataframe APIs. In the third lesson, you will debug and optimize your Spark code when running on a cluster. In lesson four, you will use Spark’s Machine Learning Library to train machine learning models at scale.

Self Paced
Self-Paced
Python Debugging Machine Learning
Details
Applied Plotting, Charting & Data Representation in Python (Coursera) Coursera
University of Michigan

Applied Plotting, Charting & Data Representation in Python (Coursera)

Statistics & Data Analysis Data Science

This course will introduce the learner to information visualization basics, with a focus on reporting and charting using the matplotlib library. The course will start with a design and information literacy perspective, touching on what makes a good and bad visualization, and what statistical measures translate into in terms of visualizations. The second week will focus on the technology used to make visualizations in python, matplotlib, and introduce users to best practices when creating basic charts and how to realize design decisions in the framework.

Oct 5th 2026
4 Weeks
Python Data Analysis Data Science
Details