Become A Python Backend Engineer

All-in-one Python course for learning backend engineering with Python. This comprehensive course is designed for Python developers seeking proficiency in Python.

Become A Python Backend Engineer
Agoro, Adegbenga. B

I strongly recommend exploring Mastering Backend as a resource for your personal and/or professional growth.

Agoro, Adegbenga. B . CTO, Crenet

Daniel Tinivella

The practical examples and hands-on exercises were particularly beneficial. They not only reinforced the theoretical concepts but also allowed me to apply them in real-world scenarios. The inclusion of best practices and common pitfalls added a practical dimension to the learning process.

Daniel Tinivella . Software Engineer, Globant

Eshan Shafeeq

The course is an excellent resource for beginners. Your explanations of the basics are clear, making it easy for newcomers to grasp. I particularly enjoyed the task management application; it's a practical example that helps solidify the concepts.

Eshan Shafeeq . Blockchain & Web3 Engineer, Cake Defi

1

Python Essential Concepts

This is a summarized module about Python syntax and concepts such as variables, data types, functions, Loops, lists, Tuples, control flow in Python, error handling, etc.

2

Advanced Python Concepts

This is a summarized module about Python's advanced concepts, such as OOP, Modules, Lambdas, Data Structures, Algorithms, Regex, Iterators, Decorators, etc.

3

Building Backend Systems

This module introduces you to building scalable and production-ready backend applications with Python. You will learn frameworks in Python, such as FastAPI, Django, and database ORM.

4

Logging and Caching

This module will teach you how to implement Logging and Caching in Python and Redis or Memcached for caching, respectively.

5

Building REST APIs

Learn how to build scalable and performant REST APIs in Python. Implement proper API design techniques and build production-ready backend systems.

6

GraphQL with Python

Learn how to use GraphQL with Python. Build GraphQL servers using Python. Build complex and scalable GraphQL servers in Python.

7

Testing In Python

This module is focused on Testing Python codes. You will learn to write Unit, Integration, and end-to-end testing in Python.

8

Dockerizing Python Applications

Learn how to containerize Python applications with Docker. Learn how Senior Python engineers dockerize their Python projects using Docker.

9

Deploying Python Applications

Learn how to deploy your Python applications to servers such as AWS, Digital Ocean, Azure, GCP, Heroku, etc.

10

Build Python Projects

Build over 10+ projects while learning Python. Build Your Own Wallet Engine in Python.

Learn Essentials Python Concepts

Learn Essentials Python Concepts

Learn the essentials of Python, such as variables, data types, functions, control flow in Python, error handling, etc.

  • Learn Python Basics

  • Data Types

  • Functions

  • Lists, Tuples, Sets, Dictionaries

  • Error Handling

Learn Advanced Python Concepts

Learn advanced concepts, such as OOP, Modules, Lambdas, Data Structures, Algorithms, Regex, Iterators, Decorators, etc.

  • OOP → Classes, Inheritance, Methods, etc.

  • Modules

  • Package Managers

  • Iterators, Decorators, and Generators

  • Lambdas

  • Regex

  • Data Structures → Learn structures such as Arrays, Linked Lists, Heaps, Stacks, and Queues.

  • Algorithms → Learn algorithms such as Binary Search Trees, Recursion, and Sorting Algorithms.

Learn Advanced Python Concepts
Building Backend Systems with Node.js

Building Backend Systems with Node.js

This module will expose you to building scale backend systems with Node.js. You will learn frameworks in Python, such as FastAPI, Django, and database ORM.

  • Django

  • Flask

  • FastAPI

  • Database & ORMs in Python

  • Implement Logging in Python

  • Implementing Caching in Python

  • Build Advanced REST APIs Python

Learn Advanced Backend Engineering Concepts

Learn advanced backend engineering concepts in Python to help you build enterprise and production-ready Python Backend Systems.

  • Testing In Python: This is a summarized module about Testing Python codes. You will learn to write Unit, Integration, and end-to-end testing in Python.

  • GraphQL with Python: Learn how to use GraphQL with Python. Build GraphQL servers using Python. Build complex and scalable GraphQL servers in Python.

  • Containerizing Python Applications: Learn how to containerize Python applications with Docker. Learn how senior Python engineers dockerize their Python projects using Docker.

  • Deploying Python Applications: Learn how to deploy your Python applications to servers such as AWS, Digital Ocean, Azure, GCP, Heroku, etc.

  • Build Python Projects: Build over 10+ projects while learning Python. Build Your Wallet Engine in Python.

Learn Advanced Backend Engineering Concepts

What to expect

Module 1 Python Essentials
Video 1
Course Overview Free
4:30
Video 2
What is Python? Free
4:30
Video 3
Python 2 vs Python 3 Free
4:30
Video 4
Variables in Python Free
4:30
Video 5
Data Types In Python
4:30
Video 6
String Data Type
4:30
Video 7
Numeric Data Types
4:30
Video 8
List Data Types and Methods
4:30
Video 9
Dictionaries in Python
4:30
Video 10
Boolean Data Types Free
4:30
Video 11
Sets in Python
4:30
Video 12
Tuple in Python
4:30
Video 13
Type Conversions
4:30
Video 14
Indentations Free
4:30
Video 15
Keywords in Python
4:30
Video 16
Statements and Expressions Free
4:30
Video 17
Operators Overview Free
4:30
Video 18
Arithmetic Operators
4:30
Video 19
Assignment Operators
4:30
Video 20
Comparison Operators
4:30
Video 21
Logical Operators
4:30
Video 22
Identity Operators
4:30
Video 23
Membership Operators
4:30
Video 24
Bitwise Operators
4:30
Video 25
Conditional Statements
4:30
Video 26
For Loop Free
4:30
Video 27
While Loop
4:30
Video 28
Iterators and Iterables
4:30
Video 29
Python Functions Free
4:30
Video 30
Scopes in Python
4:30
Video 31
Escape Sequence in Python
4:30
Video 32
String Indexing
4:30
Video 33
Formatted Strings
4:30
Video 34
Math Module in Python
4:30
Video 35
Python Error Handling
4:30
Video 36
Build a Quiz App in Python Free
4:30
Video 37
Summary Free
4:30

All-in-one Python course for learning backend engineering with Python. This comprehensive course is designed for Python developers seeking proficiency in Python.

Full Course - Early Access!
$150
$270 USD, one-time

Note that more modules are coming soon

Over 100+ in-depth video tutorials Lifetime access Deep dive into Python for backend engineering Access to over 10+ modules (coming soon)
Team Pricing
$392
$450 USD, one-time

We offer team discounts on the full course based on the number of team members you'd like to purchase for.

Need more seats? Email us.

A passionate software engineer with over 5 years of experience in developing reliable solutions for real estate, healthcare, Edutech, and more.

Odiaga Raymond

(Lead Instructor)

He holds a Bachelor's degree in physics and is currently pursuing a master's in Nuclear physics.

Odiaga Raymond is a professional Python programmer and author of 100 website issues and their solutions.

He is a Python Instructor at Mastering Backend. Beyond his high interest in Web3 and AI, he is a loving husband and father.

A Passionate Software Engineer with 6+ years of experience in developing scalable and innovative softwares.

Solomon Eseme

(Assistant Instructor)

Solomon Eseme is the founder of Mastering Backend and the author of Architecting Enterprise Vue.

Solomon Eseme is an experienced Software Engineer specializing in backend technologies.

After working across different frontend and backend stacks in a variety of workplaces from start-ups to larger consultancies,

He founded Masteringbackend to train and share resources on building high-performing, scalable and innovative applications following best practices and industry standards

What is the duration of the course?

This self-paced course allows you to fit it into your personal and professional schedule. We suggest allocating at least 5 hours per week to complete it in approximately 12 weeks. However, the duration may vary due to the comprehensive nature of the course, which includes over 200 video lessons, practical activities, and a capstone project.

Why should I enroll in this course?

You should enroll in the course to expand your skills and become a more competitive engineer. By becoming a Certified Python Backend Engineer, you’ll be well-equipped to lead engineeing projects and significantly contribute to your organization’s success. This certification will not only bolster your skill set but also expand your career opportunities in backend engineeing.

Are there any prerequisites for this course?

No prerequisites are required to enroll in the Python Backend Engineering course. However, because the course covers advanced topics, we recommend that students have a background in software engineering or computer science.

What if I am not satisfied with the course?

We are dedicated to providing a high-quality learning experience. If, for any reason, you are not satisfied with the course, please reach out to us within the first 7 days of enrollment for a full refund. Your feedback is invaluable as it helps us improve our offerings and better meet the needs of our learners.

Do I get lifetime access?

Absolutely, YES! You can access the course forever, including any future updates, with no extra payment.

How and where can I display my certification upon completing the course?

After successfully completing the course, you’ll receive a digital certification. You can showcase your certificate virtually or print it. We encourage you to display it on your LinkedIn profile, other social media platforms, and personal or professional website to highlight your newly acquired expertise to potential employers and peers.

Last week, another 107 new students signed up.

Need help? Email info[at]masteringbackend.com