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Requires ongoing maintenance Moderately easy maintenance; Easy to maintain for small projects; scaling
by developers; highly scalable if better scalability than no code can be challenging as requirements grow.
designed well. but may be limited under
heavy loads.

Higher costs due to the need for Lower costs compared to Lowest initial costs; potential costs for scaling
skilled developers and longer high code, as less coding is or premium features
project timelines. required.
Most secure as hacking these More secure than no code but Least secure as limited control over modules
requires high expertise in less secure than high code. and tools.
programming.

No Code AI Platforms

Some popular No Code AI platforms are:
u Google AutoML: AutoML is a program that allows users to train custom machine
learning models tailored to specific datasets and use cases.
u Microsoft Azure ML Studio: Azure ML Studio is a program offered by Microsoft to build, train, and deploy
machine learning models using drag and drop functionalities.

u Teachable Machine: Teachable Machine is a web-based application that lets users create models for image,
sound, and pose detection easily.

u DataRobot: DataRobot automates the machine learning process with a user-friendly interface for building
and optimising models.

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