[{"selector":"#anim-94b47855-d935-4f72-891b-7cf0adff67ad","keyframes":{"opacity":[0,1]},"delay":0,"duration":1000,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-ea89226b-391f-4770-ab35-5e6b17e673d0","keyframes":{"transform":["translate3d(-115.18988%, 0px, 0)","translate3d(0px, 0px, 0)"]},"delay":0,"duration":1000,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] How to build an AI application: a step by step guide

AI Applications

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1. Set goals for your app

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2. Choose the right tools

[{"selector":"#anim-af3cabf4-890f-4f08-9a67-71324ee8b399","keyframes":{"opacity":[0,1]},"delay":100,"duration":3000,"easing":"cubic-bezier(0.4, 0.4, 0.0, 1)","fill":"both"}] [{"selector":"#anim-63739492-c337-45f5-bd8b-bcf4c557d948","keyframes":{"opacity":[0,1]},"delay":100,"duration":3000,"easing":"cubic-bezier(0.4, 0.4, 0.0, 1)","fill":"both"}]

3. Collect and prepare data

[{"selector":"#anim-1de89e8e-3240-4ba0-ae12-1fe6a65db578","keyframes":{"opacity":[0,1]},"delay":100,"duration":3000,"easing":"cubic-bezier(0.4, 0.4, 0.0, 1)","fill":"both"}] [{"selector":"#anim-a3f5d04f-4450-4d61-b990-0bd2057a110c","keyframes":{"opacity":[0,1]},"delay":100,"duration":3000,"easing":"cubic-bezier(0.4, 0.4, 0.0, 1)","fill":"both"}]

4. Design and train your model

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5. Integrate the model into your app

[{"selector":"#anim-0e1acb13-2f88-4eed-a780-a0dbd89393bd","keyframes":{"opacity":[0,1]},"delay":100,"duration":3000,"easing":"cubic-bezier(0.4, 0.4, 0.0, 1)","fill":"both"}] [{"selector":"#anim-7b9c1b0d-cfa2-469e-a367-176140a4e763","keyframes":{"opacity":[0,1]},"delay":100,"duration":3000,"easing":"cubic-bezier(0.4, 0.4, 0.0, 1)","fill":"both"}]

6. Test and optimize

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AI Applications

If you’re eager to build an AI-powered app, check out our step-by-step guide below.

1. Set goals for your app

Start by defining the core problem your app will solve.

2. Choose the right tools

The success of your application can be achieved with NoCode tools.

3. Collect and prepare data

High quality data should always be prioritized over quantity.

4. Design and train your model

First, choose the training type, then the architecture of your model.

5. Integrate the model into your app

Decide whether the AI model will run on the front-end or back-end of your application.

6. Test and optimize

AI models need to be regularly trained and improved.

Now, if you are ready, come and be part of the NoCodeIA Training!