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Inicio 4 June 2026 13:44

Fin 4 June 2026

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Developing AI Applications with Python and Flask

Embárcate en un viaje para dominar el poder de la Inteligencia Artificial con nuestro mini-curso, "Desarrollando Aplicaciones de IA con Python y Flask". Diseñado para individuos que buscan refinar sus habilidades básicas en Python, este curso ofrece un enfoque práctico y directo para construir aplicaciones habilitadas para IA. Como participante, as.
via Coursera

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Resumen

Embark on a journey to harness the power of Artificial Intelligence with our mini-course, "Developing AI Applications with Python and Flask." Designed for individuals aiming to refine their basic Python skills, this course offers a practical, hands-on approach to building AI-enabled applications. As a participant, you'll take on the role of a developer, engaging in various essential tasks such as crafting functions, designing application logic, utilizing Watson AI libraries for data exchange, writing comprehensive unit tests, and preparing your application for distribution.

Throughout this course, you'll leverage Python and Flask to create cutting-edge web applications and AI solutions, thereby solidifying your foundational skills in these critical areas.

By employing Watson AI libraries, you'll explore innovative techniques to develop applications that are both intelligent and efficient. The course also emphasizes the importance of unit testing, ensuring that your applications are robust and error-free before they reach users.

Upon completion, not only will you have a new project to showcase in your portfolio, but you'll also possess the confidence and skills needed to dive into the world of AI application development using Python and Flask.

Offered by Coursera, this course falls under multiple categories, including Artificial Intelligence Courses, Python Courses, Sentiment Analysis Courses, Unit Testing Courses, and Flask Courses, making it a comprehensive learning experience that covers various facets of AI and web application development.


Impartido por

Ramesh Sannareddy and Joseph Santarcangelo


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