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Docs: Update "What's Next?" section in PyPI installation instructions (#13219)

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* docs: Rewrite What's Next section on PyPI page

* docs: fix link to Python example

* docs: add link to additional configurations page

* Update docs/install_guides/installing-openvino-pip.md

Co-authored-by: Karol Blaszczak <karol.blaszczak@intel.com>

* Update docs/install_guides/installing-openvino-pip.md

Co-authored-by: Karol Blaszczak <karol.blaszczak@intel.com>

* docs: remove Whats Next link

* docs: fix what's next link

* Update docs/install_guides/installing-openvino-pip.md

* Update docs/install_guides/installing-openvino-pip.md

Co-authored-by: Karol Blaszczak <karol.blaszczak@intel.com>
Co-authored-by: Yuan Xu <yuan1.xu@intel.com>
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@@ -73,23 +73,29 @@ python -c "from openvino.runtime import Core"
If installation was successful, you will not see any error messages (no console output).
Congratulations! You finished installing OpenVINO Runtime. Now you can start exploring OpenVINO's functionality through Jupyter Notebooks and sample applications. See the <a href="#whats-next">What's Next</a> section to learn more!
## Installing OpenVINO Development Tools
OpenVINO Development Tools adds even more functionality to OpenVINO. It provides tools like Model Optimizer, Benchmark Tool, Post-Training Optimization Tool, and Open Model Zoo Downloader. If you install OpenVINO Development Tools, OpenVINO Runtime will also be installed as a dependency, so you don't need to install OpenVINO Runtime separately.
OpenVINO Development Tools include Model Optimizer, Benchmark Tool, Accuracy Checker, Post-Training Optimization Tool and Open Model Zoo tools including Model Downloader. If you want to install OpenVINO Development Tools, OpenVINO Runtime will also be installed as a dependency, so you don't need to install OpenVINO Runtime separately.
See [Install OpenVINO™ Development Tools](installing-model-dev-tools.md) for detailed steps.
See the [Install OpenVINO Development Tools](installing-model-dev-tools.md) page for step-by-step installation instructions.
<a name="whats-next"></a>
## What's Next?
Now that you've installed OpenVINO Runtime, you're ready to run your own machine learning applications! Learn more about how to integrate a model in OpenVINO applications by trying out the following tutorials.
Now you may continue with the following tasks:
<img src="https://user-images.githubusercontent.com/15709723/127752390-f6aa371f-31b5-4846-84b9-18dd4f662406.gif" width=400>
* To convert models for use with OpenVINO, see [Model Optimizer Developer Guide](../MO_DG/Deep_Learning_Model_Optimizer_DevGuide.md).
* See pre-trained deep learning models in our [Open Model Zoo](../model_zoo.md).
* Try out OpenVINO via [OpenVINO Notebooks](https://docs.openvino.ai/latest/notebooks/notebooks.html).
* To write your own OpenVINO™ applications, see [OpenVINO Runtime User Guide](../OV_Runtime_UG/openvino_intro.md).
* See sample applications in [OpenVINO™ Toolkit Samples Overview](../OV_Runtime_UG/Samples_Overview.md).
Try the [Python Quick Start Example](https://docs.openvino.ai/2022.2/notebooks/201-vision-monodepth-with-output.html) to estimate depth in a scene using an OpenVINO monodepth model in a Jupyter Notebook inside your web browser.
### Get started with Python
Visit the [Tutorials](../tutorials.md) page for more Jupyter Notebooks to get you started with OpenVINO, such as:
* [OpenVINO Python API Tutorial](https://docs.openvino.ai/2022.2/notebooks/002-openvino-api-with-output.html)
* [Basic image classification program with Hello Image Classification](https://docs.openvino.ai/2022.2/notebooks/001-hello-world-with-output.html)
* [Convert a PyTorch model and use it for image background removal](https://docs.openvino.ai/2022.2/notebooks/205-vision-background-removal-with-output.html)
### Run OpenVINO on accelerated devices
OpenVINO Runtime has a plugin architecture that enables you to run inference on multiple devices without rewriting your code. Supported devices include integrated GPUs, discrete GPUs, NCS2, VPUs, and GNAs. Visit the [Additional Configurations](configurations-header.md) page for instructions on how to configure your hardware devices to work with OpenVINO.
## Additional Resources