Programming Fundamentals using Python Level 1

• What is a program?
• How to run Python and its modes of running?
• Get the hang of debugging skill in Python.
• Arithmetic operators in Python
• Values and types in Python
• How to define variables and use them in your code?
• What is meant by a variable?
• What is meant by an expression?
• Order of operations.
• String Operations in Python.
• How to write comments in Python ?
• What is meant by a function?
• Function types and uses in Python.
• What is meant by parameters and arguments?
• Fruitful and void functions in Python.
• Boolean expressions in Python.
• What is meant by logical operators and how can you use them in Python?
• Conditional execution in Python.
• Chained and Nested conditionals in Python.
• Recursion in Python.
• Return values, Boolean functions and checking types in Python.
• Iteration statements in Python (While loop, for loop, break).
• How to deal with strings in Python (ex. Get the length of a string, traverse a string, string methods, in operator, compare two strings, etc.)?

Well Control Preparation

• Pressure Basics.
• Mud Weight Window.
• Well Control Barriers concept.
• Kick Theory.
• Causes of kicks.
• Kicks warning signs
• Shut in Procedures.
• Well control methods.
• Kill sheet calculations.
• BOP Equipment.
• Mud Gas Separator.

FE Civil Engineering Exam Preparation Program

The FE civil engineering exam preparation course is specifically designed to help individuals prepare for and pass the Fundamentals of Engineering (FE) exam. This is a comprehensive course that covers all the different subjects that are tested in the exam, including mathematics, engineering sciences, ethics, and professional practice, as well as preparing students for the computer-based testing format.

The FE civil engineering exam preparation course is specifically designed to help individuals prepare for and pass the Fundamentals of Engineering (FE) exam. This is a comprehensive course that covers all the different subjects that are tested in the exam, including mathematics, engineering sciences, ethics, and professional practice, as well as preparing students for the computer-based testing format.

The course is taught by experienced instructors who have a strong understanding of the exam format and the knowledge and skills required to pass it. They will guide you through the different sections of the exam and provide you with hands-on practice and problem-solving experience that will help you to become more confident with the exam content.

Analytics and Machine Learning Applications in Oil Industry

Master essential skills in Python, SQL, data analytics, machine learning, and MLOps. Gain hands-on experience and practical knowledge to effectively apply advanced data science techniques in the oil industry.

Day#1: Python & SQL Basics
• Data Structure.
• Functions and Classes.
• Object Oriented Programming.
• Scripting.
• Common Python Libraries.
• SQL Expressions.
• Accessing databases with Python.

2.Day#2: Data Analytics in Python:
• Exploratory Data Analysis.
• Inferential Statistical Analysis.
• Visualization and Data Representation.
• Text Mining.


3.Day#3: Machine Learning with Python:
• Introduction to ML Applications in Petroleum Engineering.
• Supervised ML.
• Unsupervised ML.

4.Day#4: Deep Learning:
• Neural Networks.
• Computer Vision Applications.
• Large Language Models in Petroleum Engineering.


5. Day#5: MLOps:
• Experiment tracking.
• Orchestration.
• Deployment with Docker and Cloud.
• Monitoring.

Process Safety Management

1. Understand Why Process Safety Management (PSM) Was Promulgated
2. Understand the basics of process hazard analysis techniques
3. Understand the Team Process to Developing a PSM Program
4. Understand Each of Elements of a Properly Designed & Implemented PSM OSHA standard
5. Understand the Basics of How PSM & RMP Work Together to Protect the Workforce & Surrounding Community

OSHA General Industry

PowerBI in Oil & Gas