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IBM: Python for AI & Development Project

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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.

Python for AI & Development Project
1 semanas
3–4 horas por semana
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Python for AI & Development Project

Sobre este curso

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Please Note: Learners who successfully complete this IBM course can earn a skill badge — a detailed, verifiable and digital credential that profiles the knowledge and skills you’ve acquired in this course. Enroll to learn more, complete the course and claim your badge!

In this mini-course you will demonstrate what you’ve learned in the Python Basics* course and apply your Python skills to a real-world project for your final assignment. You will be introduced to unit testing and will develop the skills needed to create functions and unit tests, run the unit tests, and package the files in a standard Python Package.

Hands-on labs provide practical application of the project work you’ll be performing in the Peer-graded Final Assignment.

At the end of this project, you will have the skills to test your Python code, build and run unit tests, and package the Python application for distribution.

PRE-REQUISITE: *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.

Premios

Python for AI & Development Project

De un vistazo

  • Institution IBM
  • Subject Análisis de datos
  • Level Intermediate
  • Prerequisites
    Ninguno
  • Language English
  • Video Transcripts اَلْعَرَبِيَّةُ, Deutsch, English, Español, Français, हिन्दी, Bahasa Indonesia, Português, Kiswahili, తెలుగు, Türkçe, 中文

Lo que aprenderás

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After completing this course, you will be able to:

  • Demonstrate Python basic skills for developing AI powered Applications.
  • Describe the purpose of unit testing and packaging.
  • Test your Python code.
  • Create a Python Package.

Expand your practical experience using IBM Watson APIs.

Plan de estudios

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Module 1: Python Coding Practices and Packaging Concepts

  • Video: Application Development Lifecycle
  • Video: Introduction to Web Applications and APIs
  • Video: Demo: Working with an IDE
  • Hands-on Lab: Getting Started with IDE
  • Video: Python Style Guide and Coding Practices
  • Reading: Static Code Analysis Resources
  • Hands-on Lab: Static Code Analysis
  • Video: Unit Testing
  • Hands-on Lab: Practice Session and Assignment on Unit Testing
  • Video: Packaging
  • Hands-on Lab: Practice Session and Assignment on Python Packaging
  • Module 1 Summary: Python Coding Practices and Packaging Concepts
  • Module 1 Cheatsheet: Python Coding Practices and Packaging Concepts
  • Module 1 Graded Quiz: Python Coding Practices and Packaging Concepts

Module 2: Web App Deployment using Flask

  • Video: Python Libraries and Frameworks for Application Development
  • Video: Introduction to Flask
  • Video: Basic and Applications Routes
  • Hands-on Lab: Get Started with Flask Basics
  • Video: Request and Response Objects – Using GET and POST Modes
  • Video: Dynamic Routes
  • Video: Error Handling
  • Hands-on Lab: Building a API with Flask: Route Creation, Error Handling and HTTP Requests
  • Video: Deploying Web Apps using Flask
  • Reading: Decorators in Flask
  • Hands-on Lab: Building and Deploying a Web App using Flask App
  • Module 2 Lesson Summary: Web App Deployment using Flask
  • Module 2 Cheatsheet: Web App Deployment using Flask
  • Module 2 Graded Quiz: Web App Deployment using Flask

Module 3: Creating AI Application and Deploy using Flask

  • Hands-on Lab: Practice Project Overview
  • Practice Project: Sentiment Analysis
  • Final Project Overview
  • Final Project: Emotion Detector
  • Peer Review Submit Your Work and Grade Your Peers
  • Module 3 Summary: Creating AI Application and Deploy using Flask

Course Wrap-up:

  • Congratulations & Next Steps
  • Thanks from the Course Team

¿Quién puede hacer este curso?

Lamentablemente, las personas residentes en uno o más de los siguientes países o regiones no podrán registrarse para este curso: Irán, Cuba y la región de Crimea en Ucrania. Si bien edX consiguió licencias de la Oficina de Control de Activos Extranjeros de los EE. UU. (U.S. Office of Foreign Assets Control, OFAC) para ofrecer nuestros cursos a personas en estos países y regiones, las licencias que hemos recibido no son lo suficientemente amplias como para permitirnos dictar este curso en todas las ubicaciones. edX lamenta profundamente que las sanciones estadounidenses impidan que ofrezcamos todos nuestros cursos a cualquier persona, sin importar dónde viva.

Este curso es parte del programa DevOps and Software Engineering Professional Certificate

Más información 
Instrucción por expertos
15 cursos de capacitación
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1 año 1 mes
7 - 9 horas semanales

Formas de realizar este curso

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Verified Track

Audit Track

Costo

29 US$

Free

Acceso a los materiales del curso

Ilimitado

Limitado

Caduca el 5 feb

World class institutions and universities

Asistencia de edX

Certificado para compartir al finalizar

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