> For the complete documentation index, see [llms.txt](https://watson-workshops.gitbook.io/visual-recognition/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://watson-workshops.gitbook.io/visual-recognition/next-steps.md).

# Next Steps

Image classification and training is only a part of the complete idea. After the model is trained we will need to use this model somewhere. You can go to the **Implementation** tab to see how you can implement your model in different applications. 

![](/files/-LvwcwvfX3ENJ3H6Rg4l)

You will need to grab the API keys from your visual recognition service that can be found next to the **Associated Services .** Clicking on your associated service and going to the **Credentials** tab will give you your API keys associated to your service. These are the keys you will be using to hit your API endpoint for your custom model!  

![](/files/-Lvwds3uBnLWhuMB5mge)

### API Implementation and Documentation 

* For more info on how to implement the API check out : [IBM Cloud API Docs](https://cloud.ibm.com/apidocs/visual-recognition/visual-recognition-v3?code=node)
* For Info on IBM Watson SDK check out : [Watson Developer Cloud SDK ](https://github.com/watson-developer-cloud/)

### Congrats on Completing this Workshop! 

I hope you found this workshop useful in helping you create your own custom visual recognition models! Go ahead and try this yourself with other use cases!