Advanced REST APIs with Flask and Python

Advanced REST APIs with Flask and Python

Welcome to our Advanced REST API Course!

We created the most popular introductory REST API development course on Udemy, with over 4,000 reviews and 20,000 students. Now we want to help you get even farther with this Advanced REST API course, of course still using Flask and Python.

Our first course took you from zero to a deployed REST API that users could access. In this one we will cover a whole bunch of topics students have been requesting for months!

Topics covered

Course structure

We’ll start with a simple REST API and teach you everything you need to know about it—so even if you’ve not taken our first course, you can follow along with absolutely no issues. We’ve even written an e-book to get you up to speed quickly with this starter REST API!

We introduce new features and technologies by baking them into this application so you can see how a professional REST API is developed. Every new feature is added to a fully working application and tested!

We’ll also help you understand more about how to build features incrementally to get them to your users quickly and minimise risk!

Extra resources

Many lectures contain extra resources, such as links to external documentation and projects, for you to go and learn more. And for each lecture, we include the source code at the start and at the end so you’ll never be lost. All source code is provided as downloadable and also in GitHub for your convenience.

We’re always available to help in the Udemy Course Q&A and also our own student community Slack channel. Make use of these awesome resources!

Advanced course

Remember, this is our most advanced course yet! You should have enough programming experience with Python or another programming language. Some knowledge of how the web works is also really helpful.

You should have knowledge of how to install Python packages and how to run your Python applications. If you’ve used virtualenv or Pipenv before, that’s excellent! Knowledge of PyCharm for debugging is also a plus, although we will cover using the debugger in the course!

Agile project management Artificial Intelligence aws blockchain cloud computing coding interview coding interviews Collaboration Coursera css cybersecurity cyber threats data analysis data breaches data science data visualization devops django docker finance flask hacking html It Certification java javascript ketan kk Kubernetes machine learning machine learning engineer mongoDB Network & Security network protocol nodejs online courses online learning Operating Systems Other It & Software python Software Engineering Terraform Udemy courses VLAN web development

Leave a Reply

This site uses Akismet to reduce spam. Learn how your comment data is processed.