CF

Complete Backend (API) Development with Python A-Z

12h 35m 9s
English
Paid

This course for anyone who wants to be python backend developer. You will learn what is API and some python API frameworks. You will find all the fundamentals about backend development in lectures. With this course, you will learn how to build secure, fast, scalable, documented and well tested API. Beside this, you will learn the caching and database best practices. This is not just an API framework course, this is complete course that teaches you everything about backend development. You will learn the best practices. You will see the best path of how to develop a good API.

In this course you will learn fastapi python framework. It is the fastest and most convenient python framework. As a production environment you will learn digital-ocean cloud and as a deployment mechanism you will learn docker. This course starts from teaching what is API and ends with secure, tested, documented, cached and versioned best practice API. After this course you will be able to create your own API and create your own database and connect it from your API. Also you will get a domain name and put it to your API server. With load balancer, millions of users will be no more trouble. With nginx reverse proxy, you will be able to set any security or rate limit configuration to your API.

About the Author: Udemy

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Udemy is the largest open marketplace for online courses on the internet. Founded in 2010 by Eren Bali, Oktay Caglar, and Gagan Biyani and headquartered in San Francisco, the company went public on the Nasdaq in 2021 under the ticker UDMY. The platform hosts well over two hundred thousand courses across software development, IT and cloud, data science, design, business, marketing, and creative skills, taught by tens of thousands of independent instructors. Roughly seventy million learners use it worldwide, and the corporate arm — Udemy Business — supplies a curated subset of that catalog to enterprise customers.

Because Udemy is a marketplace rather than a single editorial publisher, the catalog is uneven by design. The strongest material lives in the long-form, project-based courses authored by working engineers — full-stack JavaScript, React, Node.js, Python data science, AWS, Docker and Kubernetes, mobile development with Flutter and React Native, and cloud certification preparation. The CourseFlix listing under this source is the slice of that catalog that has been mirrored here for offline-friendly viewing, organized by topic and updated as new releases land. Pricing on Udemy itself swings dramatically with the site's near-permanent sales, which is why the platform is best treated as a deep reference catalog: pick instructors with strong reviews and a track record of updating their material rather than buying on the headline price alone.

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#1: Who am I ?
All Course Lessons (40)
#Lesson TitleDurationAccess
1
Who am I ? Demo
02:12
2
Overview of the course. What is backend?
04:35
3
What can you build after this course?
01:44
4
What is API?
03:40
5
Why python for API?
01:32
6
Python API Frameworks - Sync vs Async
03:00
7
What is JSON?
01:33
8
HTTP Methods
05:54
9
HTTP Status Codes
07:36
10
Our sample project
01:40
11
Look at other API's
07:40
12
Setup environment for our API
10:06
13
Hello world with fast api framework
07:27
14
Helpful tools - Insomnia or Postman
08:45
15
Python types, Pydantic models
12:07
16
Naming for endpoints
13:26
17
Creating enpoints
43:56
18
Endpoints - Advance Cases
17:45
19
Versioning
09:55
20
Authentication
01:03:09
21
Recap Authentication
08:56
22
Middleware
16:20
23
Documentation - Swagger
35:31
24
Production Environement & Installments
14:23
25
Creating PostgreSQL database with docker
18:46
26
ORM vs Pure SQL
34:07
27
Connecting endpoints to database
01:00:26
28
Validation
08:09
29
Cache with Redis
28:46
30
Testing endpoints
51:07
31
Load testing
42:22
32
Deploying API to production environment
50:26
33
Load Balancers
38:40
34
Getting a domain
08:43
35
Reverse Proxy
42:56
36
HTTPS
16:56
37
Auth 2.0
23:31
38
Final cut
17:10
39
Backend Architecture
10:02
40
Resources
00:10
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Frequently asked questions

What prerequisites do I need before taking this course?
Before enrolling in this course, students should have a basic understanding of Python programming. Familiarity with web development concepts and HTTP is beneficial but not required. The course does not cover introductory Python programming, so prior knowledge will help in understanding the backend-specific topics addressed in the lessons.
What projects will I be able to build after completing the course?
Upon completing the course, students will be able to build secure, fast, and scalable APIs demonstrated through a sample project. They will learn to use Python API frameworks, set up a production environment, integrate with PostgreSQL using Docker, and implement authentication and caching with Redis. These skills will enable them to develop well-documented and tested backend systems.
Who is the target audience for this course?
The course is designed for individuals who aim to become backend developers using Python. It is suitable for those who have a foundational understanding of Python and are looking to specialize in backend development, specifically in creating APIs. Both beginners in backend development and those seeking to enhance their API development skills will find the course beneficial.
What specific tools and platforms are covered in the course?
The course covers a range of tools and platforms essential for backend development. It includes Python API frameworks like FastAPI, database setup using PostgreSQL with Docker, and caching techniques with Redis. Additionally, students will use tools like Insomnia or Postman for testing, and learn to deploy APIs in a production environment with considerations for load balancers and HTTPS setup.
What important topics are not covered in this course?
The course primarily focuses on backend development with Python and API creation. It does not cover frontend development or client-side technologies. Additionally, while it introduces database integration with PostgreSQL, it does not delve into advanced database design or management outside the context of API development.
How much time should I expect to commit to this course?
The course consists of 40 lessons, and while the exact runtime is not listed, students should allocate time for both instructional videos and practical exercises. A typical commitment might be several weeks, depending on the learner's pace and prior experience. Regular practice and revisiting complex topics like authentication and middleware are recommended for mastery.
How will the skills gained from this course benefit my career?
Skills gained from this course can significantly enhance a career in software development, particularly in backend roles. Understanding how to build and deploy scalable APIs using Python is highly valued in many tech companies. The knowledge of integrating databases, implementing security measures, and using modern frameworks prepares students for various positions in the tech industry, including API developer and backend engineer roles.