UH Energy AI & Robotics for Energy Integrity 

Program Overview:

Integrating robotics into inspection processes significantly enhances efficiency in data collection. The ability of robots to gather extensive data strengthens the demand for robust data analysis and management solutions. Artificial Intelligence (AI) has emerged as a powerful tool for analyzing complex data sets, significantly enhancing efficiency, innovation, and decision-making across various industries. The synergistic use of robots and AI can revolutionize inspection methodologies, streamline processes, and set new industry benchmarks. To stay with the trend, we offer this AI & Robotics for Energy Integrity course that uses popular inspection methods and use cases to provide an ideal introduction of AI for professionals in the energy industry. This course is instructed by subject matter experts from both industry and the University of Houston, and will help participants enhance their understanding of AI and seamlessly integrate AI and robotic solutions into their workflows.

In this course, participants will learn and experience the three popular use-cases and methods that have been widely used in robotic inspection in the energy industry: machine learning and its usage in non-destructive testing (NDT), deep learning that gives robots a “vision” to analyze inspection data, and photogrammetry that enable rapid 3D reconstruction essential for digital twining assets in inspection and management. The course offers a detailed summary of fundamental principles, hands-on practice, and an integration showcase. Participants will gain insight into the powerful combination of robots and AI technologies and will also be equipped with practical knowledge on how to implement these technologies effectively in real-world scenarios.

Schedule:

The upcoming program starts on March 22, 2024. Instruction for class consists of weekly online Zoom sessions and a wrap-up in-person session on April 12, 2024.

Pricing: 
$900.00

Registration deadline: March 22, 2024