🛢️ Applied Artificial Neural Network in O&G Industry

Applied Artificial Neural Network in O&G Industry

This course is dedicated to designing Artificial Intelligence (AI) and Machine Learning (ML) applications. It is extremely useful for graduation projects, academic research, and field operations in oil sites to streamline and automate workflow.

In other words, it will benefit you whether you are a student, a fresh graduate, or an engineer working in any discipline—especially in the oil and gas sector.

🕐Course Duration: 6 days — a total of 12 training hours, including practical exercises and applied assignments

🧑‍🏫 Instructor: Eng. Nash’at Jumaa - A specialist with more than 10 years of experience in the oil & gas sector, data engineering, and artificial intelligence.

💻 Training Method: Online Course - Includes an authenticated participation certificate with a barcode and serial number.

🧠 Training Contents

• Introduction to Artificial Intelligence and Neural Networks

• Simplified introduction to neural network mathematics

• Python basics for AI applications

• Data structures, types, and handling techniques

• Overview of data generated from oil and gas field operations

• Data processing using Python and preparing it for modeling

• Introduction to data visualization and analysis using professional libraries

• Overview of AI libraries: Keras and TensorFlow

• Understanding neural network layers, information flow, and output generation

• Training neural networks and performance evaluation (Loss Functions)

• Applied projects based on real oilfield datasets

Introduction Lecture: