Conclusion and Resources

Congratulations on completing the * Rock, Paper, Scissors! Build an AI-powered Interactive Game With Argo CD and Kubeflow. * lab! Throughout this lab, you’ve gained hands-on experience with various OpenShift technologies and learned how to develop, deploy, and manage an AI-powered game application.

1. Lab Summary

Let’s recap the key points and achievements from this lab:

  • You set up an OpenShift AI environment and created a Data Science project

  • You cloned the RoShambo game repository and explored the validation notebook to understand the AI model.

  • You ran Kubeflow pipeline to automate the model construction process.

  • You deployed the AI model using OpenVINO and KServe and tested its functionality.

  • You deployed the AI proxy and game application with Argo CD and Helm.

  • You played the RoShambo game in different modes, including dummy mode, camera mode, and multiplayer mode.

  • You learned about the technical details and architectures behind each component of the game application.

2. Learning Resources

To further expand your knowledge and explore related topics, here are some valuable learning resources:

2.1. OpenShift AI

2.2. OpenShift GitOps

3. Thank You!

These resources will provide you with in-depth knowledge, tutorials, and real-world examples related to OpenShift AI, OpenShift GitOps, Argo CD, AI and machine learning, and game development with AI. We hope you found this lab informative and engaging. Feel free to reach out if you have any questions or feedback. Happy learning and coding!