MongoDB

M220P: MongoDB for Python Developers (MongoDB)

Offered by MongoDB University,
M220P: MongoDB for Python Developers (MongoDB)

Learn the essentials of Python application development with MongoDB. This course will teach you how to use MongoDB as the database for a Python application. You will play the role of a back-end developer for a Python application, where your job is to implement the application's communication with MongoDB. Using the Python driver you will read and write data to the database, use the aggregation framework, manage the configuration of the database client, and create a robust application by handling exceptions and timeouts.

You'll build the back-end for a movie-browsing application called MFlix.
Using the Pymongo driver for Python, you will implement MFlix's basic functionality. This includes basic and complex movie searches, registering new users, and posting comments on the site.
You will also add more features to the MFlix application. This includes writing analytical reports, increasing the durability of MFlix's connection with MongoDB, and implementing security best practices.

Prerequisites:
We highly recommend taking M001 prior to taking this course. A basic understanding of MongoDB's document model will help you get the most out of this course.

Course Details
Total Estimated Effort

  • 6 hours
  • Duration: 6 Chapters
  • Each chapter requires approximately 65 minutes to complete
  • Up to 60 days to complete from day of registration

Agenda

  • Chapter 0: Introduction and Setup
  • Chapter 1: Driver Setup
  • Chapter 2: User-Facing Backend
  • Chapter 3: Admin Backend
  • Chapter 4: Resiliency
  • Final Exam

System Requirements

  • Web Browser: Firefox 60.0+ or Chrome 70+
  • Operating System: Mac OS X 10.7+ 64-bit, Ubuntu 14.04+ 64-bit, or Windows 8+ (64-bit)
  • MongoDB: 3.6.14+ Enterprise
Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Introduction to Data Science in Python (Coursera) Coursera
University of Michigan

Introduction to Data Science in Python (Coursera)

CS: Software Engineering Statistics & Data Analysis

This course will introduce the learner to the basics of the python programming environment, including fundamental python programming techniques such as lambdas, reading and manipulating csv files, and the numpy library. The course will introduce data manipulation and cleaning techniques using the popular python pandas data science library and introduce the abstraction of the Series and DataFrame as the central data structures for data analysis, along with tutorials on how to use functions such as groupby, merge, and pivot tables effectively. By the end of this course, students will be able to take tabular data, clean it, manipulate it, and run basic inferential statistical analyses.

Jun 8th 2026
4 Weeks
Python Data Analysis Data Science
Details
The Raspberry Pi Platform and Python Programming for the Raspberry Pi (Coursera) Coursera
University of California, Irvine

The Raspberry Pi Platform and Python Programming for the Raspberry Pi (Coursera)

CS: Software Engineering

The Raspberry Pi is a small, affordable single-board computer that you will use to design and develop fun and practical IoT devices while learning programming and computer hardware. In addition, you will learn how to set up up the Raspberry Pi environment, get a Linux operating system running, and write and execute some basic Python code on the Raspberry Pi. You will also learn how to use Python-based IDE (integrated development environments) for the Raspberry Pi and how to trace and debug Python code on the device.

Jun 8th 2026
4 Weeks
Programming Python Computer Programming
Details
A300: Atlas Security (MongoDB) MongoDB
MongoDB University

A300: Atlas Security (MongoDB)

Security & Networking

Learn about the security features available in MongoDB Atlas. When creating applications, it is important that your users have trust that their data is safe. MongoDB Atlas has everything you need to ensure that your applications are compliant and secure. In this course, you will gain the skills necessary to ensure best in class security for your MongoDB Atlas deployments.

Self Paced
Self-Paced
Security MongoDB Encryption
Details
M122: Getting Started with MongoDB Cluster Management (MongoDB) MongoDB
MongoDB University

M122: Getting Started with MongoDB Cluster Management (MongoDB)

Security & Networking

In this short-course we provide an overview of MongoDB's deployment management platforms: Cloud Manager and Ops Manager. Both platforms provide deployment automation, monitoring, and backup for MongoDB. Cloud Manager is a hosted platform, while Ops Manager is designed to be installed and run on your premises. We will explore setting up automation, monitoring, backup using the Web UI these platforms support and provide a deeper dive on the architecture of Ops Manager to facilitate setup and configuration for on-premises installations.

Not Available
Course Not Available
MongoDB Cloud Manager Ops Manager
Details
Python Project: pillow, tesseract, and opencv (Coursera) Coursera
University of Michigan

Python Project: pillow, tesseract, and opencv (Coursera)

CS: Software Engineering CS: Programming

This course will walk you through a hands-on project suitable for a portfolio. You will be introduced to third-party APIs and will be shown how to manipulate images using the Python imaging library (pillow), how to apply optical character recognition to images to recognize text (tesseract and py-tesseract), and how to identify faces in images using the popular opencv library. By the end of the course you will have worked with three different libraries available for Python 3 to create a real-world data-analysis project.

Jun 8th 2026
3 Weeks
Programming Python OpenCV
Details
Computational Thinking for Problem Solving (Coursera) Coursera
University of Pennsylvania

Computational Thinking for Problem Solving (Coursera)

Computer Science

Computational thinking is the process of approaching a problem in a systematic manner and creating and expressing a solution such that it can be carried out by a computer. But you don't need to be a computer scientist to think like a computer scientist! In fact, we encourage students from any field of study to take this course. Many quantitative and data-centric problems can be solved using computational thinking and an understanding of computational thinking will give you a foundation for solving problems that have real-world, social impact.

Jun 8th 2026
4 Weeks
Computation Computational Thinking Problem Solving
Details
M220N: MongoDB for .NET Developers (MongoDB) MongoDB
MongoDB University

M220N: MongoDB for .NET Developers (MongoDB)

CS: Programming Computer Science

Learn the essentials of ASP.NET application development with MongoDB. This course will teach you how to use MongoDB as the database for an ASP.NET application. You will play the role of a back-end developer for an ASP.NET application, where your job is to implement the application's communication with MongoDB. Using the C# driver you will read and write data to the database, use the aggregation framework, manage the configuration of the database client, and create a robust application by handling exceptions and timeouts.

Self Paced
Self-Paced
MongoDB .NET Framework ASP.NET
Details
M100: MongoDB for SQL Pros (MongoDB) MongoDB
MongoDB University

M100: MongoDB for SQL Pros (MongoDB)

Computer Science

Learn how to map your relational databases knowledge to MongoDB. This course will guide you on how to draw parallels between your existing knowledge and experience with relational databases and MongoDB. The course will contrast modeling a schema and writing application code and queries for a relational database versus doing it for MongoDB.

Self Paced
Self-Paced
MongoDB Databases SQL
Details
Interfacing with the Raspberry Pi (Coursera) Coursera
University of California, Irvine

Interfacing with the Raspberry Pi (Coursera)

CS: Software Engineering Engineering

The Raspberry Pi uses a variety of input/output devices based on protocols such as HDMI, USB, and Ethernet to communicate with the outside world. In this class you will learn how to use these protocols with other external devices (sensors, motors, GPS, orientation, LCD screens etc.) to get your IoT device to interact with the real world.

Jun 8th 2026
4 Weeks
Programming Protocols APIs
Details