What's New in the Skills Network Catalog

Newest Releases

**AI Biomedical Applications Workshop ** | View in the Skills Network Catalog

In three fascinating projects, learn how to create biomedical AI applications and deploy them. First, you'll discover the basics of AI and machine learning using Python and Scikit-Learn, building a model to detect Parkinson's disease from voice patterns. Next, you'll dive into deploying a Parkinson's detection app using Docker and Kubernetes, no prior knowledge is needed. Finally, using PyTorch and computer vision techniques, you'll develop an algorithm that identifies metastatic cancer from digital pathology scans. By the end, you'll have the skills to tackle real-world biomedical problems.

Parkinson Detector App Deployment (Part2 iBest Workshop) | View in the Skills Network Catalog

Do you want to deploy a serverless AI model like a software engineer using technologies such as Docker containers and Kubernetes? This guided project will show you how to deploy a Parkinson detection app in 10 mins. On the one hand, this project does not require knowledge of front-end and back-end development. On the other hand, the model deployment comes at no cost! You get free resources on IBM Cloud to experiment with deploying the AI model you like and share the app.

Parkinson Detection From Voice Data (Part1 iBest Workshop) | View in the Skills Network Catalog

This Guided Project will provide an introduction to Artificial Intelligence and Machine Learning using Python and Scikit-Learn. Through it, learners will learn how to use Python and Scikit-Learn to build a Machine Learning model to accurately detect Parkinson’s Disease from voice patterns. By the end of this project, you will have gained the skills needed to start building your own AI-powered predictions.