AI for Energy and Biomedical Applications

Intermediate Level
6 hours to complete 3 weeks at 2 hours a week
Flexible Schedule

Wei Lu

What You’ll Learn

Gain proficiency with AI techniques for energy optimization

Develop an understanding of AI applications in biomedical sciences

Experiment with AI approaches to address energy and biomedical problems

Skills You’ll Gain

Pharmacology Applied Machine Learning Bioinformatics Artificial Intelligence and Machine Learning (AI/ML) Predictive Analytics Health Informatics Artificial Intelligence Precision Medicine Deep Learning Electric Power Systems Anomaly Detection Medical Imaging Image Analysis Predictive Modeling Energy and Utilities Machine Learning Algorithms

Shareable Certificate

Earn a shareable certificate to add to your LinkedIn profile.

Develop Your Specialized Knowledge

Learn new concepts from industry experts

Gain a foundational understanding of a subject or tool

Develop job-relevant skills with hands-on projects

Earn a shareable career certificate

There are 3 modules in this course

In module 1 we will review challenges that we may face energy optimization. Then, we will explain different AI-driven energy optimization techniques including demand forecasting, load management, and renewable energy integration. Finally, we will examine AI-driven optimization strategies for energy storage systems.

In module 2, we explain predictive maintenance principles and continue to review AI driven predictive maintenance techniques including machine learning, deep learning, and anomaly detection algorithms. We explain how predictive maintenance models can be trained and optimized. Finally, we discuss strategies for integrating AI-driven predictive maintenance models into existing energy infrastructure systems.

In module 3, we review how AI techniques are used to analyze medical images and to interpret genomic data. We will discuss how AI has impacted drug discovery and other biomedical applications.