AI & Robotics for Energy Integrity
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Application
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Pricing
Discount may apply
Course Price: $1400 -
Schedule
Starting from March 22 to April 12
Weekly Online Zoom Meeting at Night
In-Person Session: 9:00 am – 4:30 pm, April 12
Why This Course?
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.
Who should attend?
- Engineers and technicians seeking to boost their robotic inspection and maintenance expertise with AI technology.
- Individuals who are interested in the latest trends in AI and are looking to implement this with robotics for enhanced inspection and maintenance tasks.
- Industry professionals aiming to exploit robotic and AI-based inspection solutions, seeking in-depth knowledge on machine learning, computer vision inspection, and photogrammetry.
Learning Outcome
After successfully completing this module, participants should be able to:
- Gain a comprehensive knowledge of AI’s role in analyzing and interpreting data derived from robots and become familiar with the model training process.
- Have a solid grounding in deep learning and computer vision, understanding how robots perceive, analyze, and act in their surroundings.
- Apply the skills to use AI in complex data analysis and management while understanding the associated challenges and risks.
- Continue to develop expertise in applying AI and robotics to address the needs, challenges, and opportunities within the energy sector.
Pricing
Online session only: $800
Online session + Hands-on (In-person, limited seat available ): $ 1400
Contact us for discount information.
FULL COURSE PRICE:
$ 1400
Course Schedule
Tentative Schedule:
- March 22: Online, 6:00 – 8:30 pm, Central Time
- Overview of AI, and its role in NDE, Robotics, and AIML Applications
- Statistical confidence, data acquisition standards and certification
- March 25: Online, 6:30 – 8:15 pm, Central Time
- Discussion: Industrial demand for AI & Robotics
- Machine Learning Essentials
- March 28: Online, 6:00 – 8:30 pm, Central Time
- Intro to Deep Learning & Computer Vision
- Computer Vision for Inspections
- April 1: Online, 7:00 – 8:15 pm, Central Time
- Computer Vision (CV) Applications in the Oil & Gas Industry
- April 4: Online,7:00 – 8:15 pm, Central Time
- Photogrammetry 101
- April 8: Online, 6:00 – 8:30 pm, Central Time
- Integrating Photogrammetry and AI in Robotics and Drones for Industry Inspections
- Optimizing Inspections with Robotics and Drones
- April 11: Online, 6:30 – 8:15 pm, Central Time
- Discussion: Accelerate AI & Robotics implementation
- Operational Deployment of AI & Robotics
- April 12: In-person Hands-on & Demonstration, 9:00 am – 4:30 pm, Central Time
- Hands-on, DL/CV model for vision-based corrosion Inspections
- Hands-on, 3D reconstruction
- Demonstration of Digital Twin.
The online sessions are Zoom meetings with Q&A, scheduled at night. Recordings will be available for review.
In-person session scheduled for April 12, 9:00 am – 4:30 pm at UH Technology Bridge.
Instructors
UH INSTRUCTORS
Dr. Gangbing Song
Moores Professor of Mechanical Engineering
University of Houston
Dr. Vedhus Hoskere
Assistant Professor of Civil and Environmental Engineering
University of Houston
INDUSTRY INSTRUCTORS
Kimberley Hayes
CTO
Valkim Technologies
Matt Alberts
Head of Project Management
Future Tecnologies Venture
Founder of Societa AI
Dr. Suchet Bargoti
CTO
Abyss Solutions
Pete Peterson
Head of Product Management and Marketing
XaaS Lab
Crendentialing Overview
- A digital badge will be issued after successfully completing this course.
- Texas professional development hours and continuing education units available.
Frequently Asked Questions
Registration accepted up to the first day of the course and can be completed online, or you may contact UH Energy (uhenergy@uh.edu) for course registration and details.
Currently, we accept credit card payments, check, and wire transfer.
This program is a combination of both synchronous online presentations and in-person practices. The online sessions will be held on zoom for 2 hours during the evenings of weekdays, followed by a half-hour Q&A session. The in-person session will be delivered at the Cullen College of Engineering at the University of Houston.
Yes. You will have quizzes and try to achieve a passing grade. If you do not pass on the first attempt, you can take these quizzes as many times as you wish. You will be issued a micro-credential badge if you achieve a passing grade.
The online session will be recorded and available throughout the course. The in-person session will be live streamed and cannot be made up if missed.
Micro-credentials are certifications for mastery of specific topic areas or skillsets. To earn a micro-credential, you typically have to complete a certain number of activities, assessments, or projects related to a topic.