INTRODUCTION FOR INTRODUCTION TO AI AND GENERATIVE AI
This one-day course is designed to introduce participants to the fundamental concepts of Artificial Intelligence (AI) and Generative AI. Participants will gain a foundational understanding of AI technologies and explore how Generative AI can be applied in the oil and gas industry.
COURSE OBJECTIVES
By the end of this course, participants will be able to:
- Define Artificial Intelligence and identify its historical context.
- Explain the applications of AI in various industries, with a focus on Oil and Gas.
- Comprehend the basics of Machine Learning, including model training, testing, and validation.
- Understand Generative AI and its core component, Generative Adversarial Networks (GANs).
- Observe practical demonstrations of Generative AI models and discuss potential Petronas Carigali use cases.
- Explore emerging trends and technologies in AI, particularly in the energy sector, and prepare for future AI applications.
- Evaluate ethical considerations related to AI in decision-making and understand compliance and regulatory frameworks.
DURATION
1 Day
COURSE CONTENT
Module 1: Introduction to Artificial Intelligence (AI)
- What is AI?
- Definition and overview of Artificial Intelligence.
- Historical context and evolution of AI.
- Types of AI
- Narrow AI vs. General AI.
- Supervised, Unsupervised, and Reinforcement Learning.
- AI Applications in Industry
Module 2: Machine Learning Fundamentals
- Basics of Machine Learning
- Understanding the core concepts of Machine Learning.
- Training, testing, and validation of ML models.
- Supervised Learning
- Introduction to supervised learning algorithms.
- Real-world applications in the energy sector.
Module 3: Generative AI
- What is Generative AI?
- Explanation of Generative Adversarial Networks (GANs).
- How GANs generate data.
- Applications of Generative AI
- Use cases for Generative AI in the Oil and Gas industry.
- Enhancing reservoir simulations with generative models.
Module 4: Hands-on Workshop
- Implementing AI in Oil and Gas
- Overview of AI implementation steps.
- Discussion of the potential use of AI and simple exercise.
- Generative AI in Action
- Practical demonstration of a generative model.
- Discussion of potential Petronas Carigali use cases.
Module 5: Future Trends and Ethical Considerations
- The Future of AI in the Energy Sector
- Emerging trends and technologies in AI.
- Preparing for the future of AI in the Oil and Gas industry.
