This mini course is intended to apply basic Python skills for developing Artificial Intelligence (AI) enabled applications. In this hands-on project you will assume the role of a developer and perform tasks including:

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Developing AI Applications with Python and Flask
Ce cours fait partie de plusieurs programmes.
Enseigné en Français (doublage IA)


Instructeurs : Abhishek Gagneja
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Ce que vous apprendrez
Describe the steps and processes involved in creating a Python application including the application development lifecycle
Create Python modules, run unit tests, and package applications while ensuring the PEP8 coding best practices
Explain the features of Flask and deploy applications on the web using the Flask framework
Create and deploy an AI-based application onto a web server using IBM Watson AI Libraries and Flask
Compétences que vous acquerrez
- Catégorie : Software Testing
Détails à connaître

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Il y a 3 modules dans ce cours
In this module, you will start with the basic difference between web applications and APIs. Next, you will learn about the application development lifecycle, from gathering requirements to maintaining the project. You will also get familiar with the best practices for coding as documented in the Python Enhancement Proposal (PEP8) style guide. You will learn about static code analysis, which is used to ensure that the code you write adheres to the coding rules. Next, you will learn how to create and run unit tests. Finally, you will learn how to create, verify, and run Python packages.
Inclus
7 vidéos3 lectures2 devoirs4 éléments d'application3 plugins
In this module, you will be introduced to the definitions of and key differences between Python libraries and frameworks for application development. You will also learn about Flask, a Python-based micro framework used for web deployment of applications. The module will also introduce development and deployment concepts, including routes, request and response objects, error handling, and decorators. After building an API with Flask, you will also learn to deploy web apps using Flask.
Inclus
7 vidéos1 lecture2 devoirs4 éléments d'application3 plugins
In this module, you will be introduced to Embeddable Watson AI libraries. You will also have the opportunity to build two AI-based apps. The practice project will provide you with a challenge to apply your programming skills and incorporate the IBM Watson libraries to build a text-based Sentiment Analysis tool. You will be provided guidance through each step of the project. The final project, Emotion Detection based on the text input, will help you get your skills and proficiency assessed by your peers. For both projects, you will perform unit testing, static code analysis, and incorporate error handling.
Inclus
3 lectures1 évaluation par les pairs2 éléments d'application2 plugins
Instructeurs

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Recommandé si vous êtes intéressé(e) par Software Development
DeepLearning.AI
Korea Advanced Institute of Science and Technology(KAIST)
Korea Advanced Institute of Science and Technology(KAIST)
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Avis des étudiants
1 007 avis
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- 4 stars
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- 3 stars
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- 2 stars
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- 1 star
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Affichage de 3 sur 1007
Révisé le 28 mars 2024
The knowledge is intensive, the process is clear, and it's easy to get a complete understanding of how to create an app after completing the entire project.
Révisé le 12 août 2022
Short but sweet. An excellent course for a solid basis for Python and use of IBM Watson services. Highly recommend.
Révisé le 22 mars 2024
Mind bending progressive skill set from IBM. Wow! Am so grateful to be exposed to the talent here as a curious student. :-)

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