4 NO CODE AI TOOLS

Ibekwe kingsley
Machine learning Mastery
3 min readJul 6, 2022
Pepper the robot by frederik enneman / Alamy

Many of our everyday routines and schedules are now handled automatically by robots, digital assistants, and tools as technology advances. These tools aid in the simplification of job procedures and enable us to accomplish a great deal in a short period of time.

Adoption of AI in various sectors of the economy has significantly aided societal growth and development.

We are all aware of the traditional approach to building AI models, which entails several hours of coding and the requirement for systems with significant computing power. We now have AI tools that allow us to create AI models without writing a single line of code.

In this post, I’ll show you four no-code tools you can use to build AI models without writing a single line of code; you’ll only drag and drop to create a working model.

  1. BigML: BigML is a consumable, programmable, and scalable Machine Learning platform that simplifies and automates the activities of Classification, Regression, Time Series Forecasting, Cluster Analysis, Anomaly Detection, Association Discovery, and Topic Modeling. BigML is assisting thousands of analysts, software developers, and scientists worldwide in solving Machine Learning jobs “end-to-end,” seamlessly translating data into actionable models that can be utilized as online services or locally embedded in apps to make predictions.Bigml provides both free and paid services; with the free option, you can execute an unlimited number of tasks with a maximum dataset size of 16mb. Students and educators can also get a free pro subscription.

2. EdgeImpulse: Edge Impulse is the leading development platform for machine learning on edge devices, available for free to developers and trusted by organizations around the world. The firm is on a mission to provide the finest development and deployment experience for machine learning on the edge to every developer and device maker, with an emphasis on sensor, audio, and computer vision applications. Edge Impulse enables software developers, engineers, and domain experts to address real-world challenges on edge devices without requiring a Ph.D. or specialized embedded engineering capabilities. Edge Impulse provides optimal efficiency and performance on a wide range of hardware from MCUs to CPUs, from getting started to MLOps in production.

3. Mantium AI: Mantium is an end-to-end AI development platform that allows teams to use a low-code approach to test, deploy, and monitor their AI systems. Mantium is a cloud platform for developing and administering big language models at scale.

4. Google AutoML: Google AutoML is the tech giant’s no-code AI solution. It is a feature-rich AI product package that allows you to train high-quality machine learning models tailored to your specific business requirements.

While it is a no-code solution by definition, Google AutoML appears to be technical, as it requires developers to have “minimal machine learning skills.” Furthermore, according to its quickstart guide, getting started with the platform would be challenging for a completely non-technical business owner who is just experimenting with AI. Nonetheless, if you can stomach the learning curve or have a budget for a developer with “minimal machine learning competence,” Google AutoML includes a plethora of features that, when used properly, can be quite beneficial to your organization.
The platform has a pay-as-you-go pricing model, so you only pay for what you use.

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