Deep Learning for Petroleum Engineering Using Python: Part 1- Neural Networks Fundamentals

Registration Overview

• Successful completion of our certificate will not give you a degree or college credit, but they will add valuable depth to your knowledge, especially if you work in the Energy/Power Systems or Oil and Gas industry.
  • Take this course as a stand-alone
  • The course is completely online,
  • Participants will receive 1.0 CEU upon completion
  • You may also find more information on the Petroleum Engineering Continuing Education Page. 
• Please direct questions about the Petroleum Engineering courses and programs to:
  • Phone: 979-845-9385
  • Fax: 979-845-1307
  • Email: pe-dl_info@tamu.edu
• For questions related to the registration process, please contact TEES EDGE.

Learning Objectives

Students will Learn:

• Master Deep Learning on Python 
• Work with Multiple Python libraries: Pandas, Numpy, matplotlib, seaborn, etc. 
• Multiple Deep Learning Algorithms on Python 
• Work with Keras and TensorFlow libraries 
• Apply Deep Learning for image classification, time-series data analysis, synthetic data generation, and reinforcement learning.

Requirements

• Some programming experience is highly recommended.
• Previous Python knowledge is beneficial but not required.

Registration Fees and Payment Details:

• $795 per course registration (non-refundable)
• Credit Card or Electronic Check - Please have payment ready to apply during registration.
• Request Approval for Invoicing / Wire Transfer 
  • Please note that if you plan to apply payment via a wire transfer, a standard $30 fee will apply.