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
All-in-one Python course for learning backend engineering with Python. This comprehensive course is designed for Python developers seeking proficiency in Python.
I strongly recommend exploring Mastering Backend as a resource for your personal and/or professional growth.
Agoro, Adegbenga. B . CTO, Crenet
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
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
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.
This is a summarized module about Python's advanced concepts, such as OOP, Modules, Lambdas, Data Structures, Algorithms, Regex, Iterators, Decorators, etc.
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.
This module will teach you how to implement Logging and Caching in Python and Redis or Memcached for caching, respectively.
Learn how to build scalable and performant REST APIs in Python. Implement proper API design techniques and build production-ready backend systems.
Learn how to use GraphQL with Python. Build GraphQL servers using Python. Build complex and scalable GraphQL servers in Python.
This module is focused on Testing Python codes. You will learn to write Unit, Integration, and end-to-end testing in Python.
Learn how to containerize Python applications with Docker. Learn how Senior Python engineers dockerize their Python projects using Docker.
Learn how to deploy your Python applications to servers such as AWS, Digital Ocean, Azure, GCP, Heroku, etc.
Build over 10+ projects while learning Python. Build Your Own Wallet Engine in Python.
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 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.
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 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.
All-in-one Python course for learning backend engineering with Python. This comprehensive course is designed for Python developers seeking proficiency in Python.
Note that more modules are coming soon
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.
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
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.
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.
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.
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.
Absolutely, YES! You can access the course forever, including any future updates, with no extra payment.
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.