MongoDB Python Developer Associate Cert Prep

4h 19mIntermediate2025-07-01

Authors

MongoDB

Developer Data Platform

Course details

Explore Python and MongoDB, a powerful, flexible document database, in this course designed by MongoDB. Get started with key concepts and architecture that set MongoDB apart from traditional SQL databases. Get an overview of MongoDB for Python developers, the document model, CRUD operations, and indexes. Along the way, discover the essentials of other skills covered by the exam, including data modeling, tools and tooling, and drivers. This course is an ideal fit for Python developers, database administrators, and anyone interested in learning more about leveraging MongoDB for modern applications.

Skills covered

MongoDBDatabase DevelopmentPythonDatabase ManagementCert PrepProgramming LanguagesOpen SourceSoftware Development

Concepts

0. Introduction

01 - Introduction to MongoDB Atlas
02 - Creating and deploying an Atlas cluster
03 - Getting started with MongoDB Atlas

1. MongoDB and the Document Model

04 - Introduction to MongoDB Atlas
05 - The MongoDB document model
06 - Databases, collections, and documents in Atlas Data Explorer
07 - Overview of MongoDB and the document model review

2. Connecting to a MongoDB Database

08 - Using MongoDB connection strings
09 - Connecting to a MongoDB Atlas cluster with the shell
10 - Connecting to a MongoDB Atlas cluster with Compass
11 - Connecting to a MongoDB Atlas cluster with an application
12 - Troubleshooting MongoDB Atlas connection errors
13 - Connecting to your database review

3. Connecting to MongoDB in Python

14 - Using MongoDB Python client libraries
15 - Connecting to an Atlas cluster in Python applications
16 - Troubleshooting a MongoDB connection in Python applications
17 - Connecting to MongoDB in Python review

4. MongoDB CRUD Operations - Insert and Find Documents

18 - Inserting documents in a MongoDB collection
19 - Finding documents in a MongoDB collection
20 - Finding documents by using comparison operators
21 - Querying on array elements in MongoDB
22 - Finding documents by using logical operators
23 - MongoDB CRUD operations - insert and find documents review

5. MongoDB CRUD Operations - Replace and Delete Documents

24 - Replacing a document in MongoDB
25 - Updating MongoDB documents by using updateOne()
26 - Updating MongoDB documents by using findAndModify()
27 - Updating MongoDB documents by using updateMany()
28 - Deleting documents in MongoDB
29 - MongoDB CRUD operations - replace and delete documents review

6. MongoDB CRUD Operations - Modifying Query Results

30 - Sorting and limiting query results in MongoDB
31 - Returning specific data from a query in MongoDB
32 - Counting documents in a MongoDB collection
33 - MongoDB CRUD operations - modifying query results review

7. MongoDB CRUD Operations in Python

34 - Working with MongoDB documents in Python
35 - Inserting a document in Python applications
36 - Querying a MongoDB collection in Python applications
37 - Updating documents in Python applications
38 - Deleting documents in Python applications
39 - Creating MongoDB transactions in Python applications
40 - MongoDB CRUD operations in Python review

8. MongoDB Aggregation

41 - Introduction to MongoDB aggregation
42 - $match and $group stages in a MongoDB pipeline
43 - $sort and $limit stages in a MongoDB pipeline
44 - $project, $count, and $set stages in a MongoDB pipeline
45 - $out stage in a MongoDB aggregation pipeline
46 - MongoDB aggregation review

9. MongoDB Aggregation with Python

47 - Building a MongoDB aggregation pipeline in Python applications
48 - MongoDB aggregation stages with Python - $match and $group
49 - MongoDB aggregation stages with Python - $sort and $project
50 - MongoDB aggregation with Python review

10. MongoDB Indexes

51 - Using MongoDB indexes in collections
52 - Creating a single field index in MongoDB
53 - Creating a multikey index in MongoDB
54 - Working with compound indexes in MongoDB
55 - Deleting MongoDB indexes
56 - Introduction to MongoDB data modeling review

11. MongoDB Atlas Search

57 - Using relevance-based search and search indexes
58 - Creating a search index with dynamic field mapping
59 - Creating a search index with static field mapping
60 - Using $search and compound operators
61 - Grouping search results by using facets
62 - MongoDB Atlas Search review

12. MongoDB Data Modeling Intro

63 - Introduction to data modeling
64 - Types of data relationships
65 - Modeling data relationships
66 - Embedding data in documents
67 - Referencing data in documents
68 - Scaling a data model
69 - Using Atlas tools for schema help
70 - Introduction to MongoDB data modeling review