# 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! --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://watson-workshops.gitbook.io/visual-recognition/next-steps.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.