Target audience: the advanced training course is available to individuals holding (or currently obtaining) a higher or secondary vocational education in specialties that qualify them to work in the oil and gas industry.
Studying methods: lecture, calculations, exercises, demonstration of the teacher's screen with the code development environment, and code development in a specialized development environment.
After of course, participants will be: to improve professional competencies as reflected in practical abilities:
- understand the role of artificial intelligence (AI) and machine learning (ML) in enterprise digital transformation;
- study the fundamental concepts of machine learning theory and practice;
- investigate the capabilities and limitations of machine learning tools;
- identify existing challenges in the oil and gas industry that can be addressed through machine learning methods;
- master the selection of the most appropriate machine learning techniques;
- understand data preparation challenges and tasks for developing high‑quality models based on training and test datasets;
- learn to formulate requirements for hypotheses and experiments;
- be able to evaluate the quality of predictive models using various metrics;
- familiarise with a development environment supporting the Python programming language;
- apply basic machine learning methods in practice.
About course: acquisition of basic broad‑profile knowledge and skills for specialists of oil and gas companies who plan and implement programmes to improve labour efficiency, the quality of production and technological processes, digital transformation, etc., and who consider the possibility of applying artificial intelligence (AI) and machine learning (ML) methods in their operations.