Offered By: IBMSkillsNetwork

AI Biomedical Applications Workshop

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.

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Course

Artificial Intelligence

1.4k+ Enrolled
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At a Glance

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.

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Certificate

Certificate Offered

Estimated Effort

4 Hours

Level

Intermediate

Industries

Healthcare

Skills You Will Learn

Artificial Intelligence, Data Analysis, Data Visualization, Machine Learning, PyTorch

Language

English

Course Code

AI0201EN

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