At a Glance

Name: AI Applications with Python and Flask
Price: Free CAD
Rating: 4.0 (5 reviews)
Author: ramesh_sannareddy, joseph_santarcangelo, abhishek_gagneja

This mini-course introduces you to the process for unit testing Python code, including building and running unit tests and packaging the Python application for distribution.

General Information

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

- Developing functions and application logic

- Exchanging data using Watson AI libraries

- Writing unit tests, and

- Packaging the application for distribution

You will demonstrate your foundational Python skills by employing different techniques to develop web applications and AI-powered solutions. After completing this course, you will have another project for your portfolio and gain the confidence to begin developing AI-enabled applications using Python and Flask with Watson AI libraries. You experience building and running unit tests and then package the application for its distribution.

Learning Objectives:

Develop an AI-powered application using basic Python skills
Describe the purpose of unit testing and packaging
Test your Python application
Create a Python package

Prerequisites:

Python Basics course from IBM is a pre-requisite for this project course. Please ensure before taking this course you have either completed the Python Basics course from IBM or have equivalent proficiency in working with Python and data.

NOTE: This course is designed for the learner to apply prior Python knowledge. It is not intended to teach you Python and includes minimal instructional content.

Course Syllabus

Module 1: Python Coding Practices and Packaging Concepts

Application Development Lifecycle
Introduction to Web Applications and APIs
Demo: Working with an IDE
Hands-on Lab: Getting Started with IDE
Python Style Guide and Coding Practices
Reading: Static Code Analysis Resources
Hands-on Lab: Static Code Analysis
Unit Testing
Hands-on Lab: Practice Session and Assignment on Unit Testing
Packaging
Hands-on Lab: Practice Session and Assignment on Python Packaging

Module 2: Web App Deployment using Flask

Python Libraries and Frameworks for Application Development
Introduction to Flask
Flask - Basic Applications and Routes
Hands-on Lab: Get Started with Flask Basics
Request and Response Objects – Using GET and POST Modes
Dynamic Routes
Error Handling
Hands-on Lab: Building a API with Flask: Route Creation, Error Handling and HTTP Requests
Deploying Web Apps using Flask
Reading: Decorators in Flask
Hands-on Lab: Building and Deploying a Web App using Flask App
Reading: Additional Features in Flask
Hands-on Lab: Exploring Additional Features Flask

Module 3: Creating AI Application and Deploy using Flask

Practice Project: Sentiment Analysis
Final Project: Emotion Detector

Offered By: IBMSkillsNetwork

AI Applications with Python and Flask

At a Glance

General Information

Learning Objectives:

Prerequisites:

Course Syllabus

This is part of the following learning path

Offered By: IBMSkillsNetwork

AI Applications with Python and Flask

At a Glance

General Information

Learning Objectives:

Prerequisites:

Course Syllabus

This is part of the following learning path

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