Artificial Intelligence in App Creation: Beginners Edition

MBA in Artificial Intelligence Digital Marketing: Term 2.6 course focussed on Artificial Intelligence in App Creation

What you'll learn:
1) An introduction to Artificial Intelligence (AI) technology in app creation for beginners and Tips to become the best Artificial Intelligence (AI) app developer.
2) Job trends for Artificial Intelligence (AI) app developers and Practical super-fast drag-and-drop tools for creating apps fast and easy.
3) Practical automated tools for converting websites to Mobile, Windows and Mac apps - incredibly quick.

Requirements:

1) There is no kind of technical or coding knowledge required to learn this course. However, a few app creation tools are covered in the course and showcased here. Some tools may be free and some may be paid. You can leverage it wisely, according to your requirement or needs.
2) Prerequisite: As this is a series-based course, first, enrol in “MBA in Artificial Intelligence Digital Marketing: Term 2.5 course”, and then join Term 2.6 to avoid any kind of confusion.
Description:

Welcome to the sixth course in Term 2 as part of the series "MBA in Artificial Intelligence Digital Marketing".

Today, Artificial Intelligence (AI), Machine Learning, and Deep Learning technologies are used in diverse fields as part of the daily life of large organizations across the globe. The rapid speed of AI growth demonstrates that it is a groundbreaking technology designed to transform the way people use devices and conduct business: achievements in unmanned aerial vehicles, the ability to beat people in chess and sporting games, automated customer service, and analytical systems - of course. Talking about the business, development, or marketing field, for instance, it is worth noting that Artificial Intelligence does not apply in a pure form to real self-aware intelligence machines in this sense. Instead, it can be considered a generic term for the number of software powered by automation that is being used by developers of websites and smartphone apps. They include the recognition of images and speech, cognitive computing, automated processing, and machine learning - for that matter.

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