Flaskのトレーニングコース

Flaskのトレーニングコース

ローカル、インストラクターによるライブFlaskトレーニングコースは、REST APIを構築し、持つWebアプリケーションの作成方法を、対話型ハンズオン実践を通して実証FlaskFlaskトレーニングは、「オンサイトライブトレーニング」または「リモートライブトレーニング」として利用できます。オンサイトのライブトレーニングは、お客様の施設でローカルに実施できます。 日本またはのNobleProg企業トレーニングセンター日本 。リモートライブトレーニングは、インタラクティブなリモートデスクトップ経由で実行されます。 NobleProg-ローカルトレーニングプロバイダー

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Flaskコース概要

コース名
期間
概要
コース名
期間
概要
14 時間
This instructor-led, live training in 日本 (online or onsite) is aimed at backend developers who wish to build REST APIs with Python and Flask.

By the end of this training, participants will be able to:

- Implement a REST API to allow a Flask web application to read and write to a database in the backend.
- Develop advanced authentication features like refresh tokens.
- Build a reusable backend for future Python projects.
- Simplify storage of data with SQLAlchemy.
- Deploy REST APIs onto a cloud based server.
14 時間
This practical course is addressed to Python developers that want to create and maintain their first web applications. It is also addressed to people who are already familiar with other web frameworks such as Django or Web2py, and want to learn how using a microframework (i.e. a framework which glues together third-party libraries instead of providing a self-contained universal solution) changes the process.

A significant part of the course is devoted not to Flask itself (it's tiny), but to third-party libraries and tools often used in Flask projects.
14 時間
This instructor-led, live training in 日本 (online or onsite) is aimed at developers who wish to use the advanced features of Flask to build scalable web applications on top of MongoDB.

By the end of this training, participants will be able to:

- Set up the necessary development environment to start developing web applications with Flask.
- Get to know the advanced concepts and techniques for real-world Flask projects.
- Build a RESTful API server on top of MongoDB.
- Learn how to containerize, test, and deploy microservices with Flask, Docker, and Amazon EC2.
- Gain some insights on the advanced Flask integrations for scaling web applications.

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今後のFlaskコース

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