The digital learning ecosystem An efficient management approach to capability development, delivering smarter teams, improved productivity and better business outcome for the managers.
Bridging industry with academia An immersive and collaborative learning experience event, using OilSim simulator, providing highly relevant industry knowledge and soft skills.
The digital learning ecosystem Digitally and seamlessly connecting you, the learner, with pertinent learning objects and related technologies ensuring systematic, engaging and continued learning.
Industry and client recognition
Best Outreach Program Finalist: WorldOil Awards
Overall Customer Satisfaction Score
Training provider of the year: 2013, 14 and 15
Upstream learning simulator With more than 50,000 participants instructed in various disciplines, data driven OilSim runs real-world oil and gas business scenarios and technical challenges.
Engaging. Educational. EnjoyableUpstream learning simulator With more than 50,000 participants instructed in various disciplines, data driven OilSim runs real-world oil and gas business scenarios and technical challenges.
Engaging. Educational. EnjoyableBridging industry with academia An immersive and collaborative learning experience event, using OilSim simulator, providing highly relevant industry knowledge and soft skills.
The digital learning ecosystem Digitally and seamlessly connecting you, the learner, with pertinent learning objects and related technologies ensuring systematic, engaging and continued learning.
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Upstream learning simulator With more than 50,000 participants instructed in various disciplines, data driven OilSim runs real-world oil and gas business scenarios and technical challenges.
Engaging. Educational. EnjoyableUpstream learning simulator With more than 50,000 participants instructed in various disciplines, data driven OilSim runs real-world oil and gas business scenarios and technical challenges.
Engaging. Educational. EnjoyableBridging industry with academia An immersive and collaborative learning experience event, using OilSim simulator, providing highly relevant industry knowledge and soft skills.
Develop measurable skills and capabilities
The "Practical AI Fundamentals for Energy Professionals" is an introductory training designed to equip energy industry professionals with a foundational understanding of AI, data science, and machine learning. The course covers essential concepts, tools, and techniques, including data wrangling, visualization, regression, classification, clustering, and advanced AI methods using no-code platforms. Each module includes hands-on exercises and industry-specific case studies to enhance practical skills. By the end of this training, participants will be prepared to apply AI technologies to drive innovation and improve efficiency in the energy sector.
Module1: Fundamentals of Data Science, AI and ML
Data Science in the Energy Industry
Key developments and breakthroughs in the field of AI - Generative AI Revolution
Introduction to Python Programming
Python setup
Module 2: Data Wrangling and Visualization
Python Libraries for AI (NumPy and Pandas)
Data Visualization
Data Processing
Hands-on Exercises for Energy Domains
Module 3: Introduction to ML and Regression
Introduction to Machine Learning
Supervised vs Unsupervised Learning
Regression Algorithms
Regression Metrics and Concepts
Hands-on Exercises for Energy Domains
Module 4: Classification and Clustering
Classification Algorithms
Classification Metrics and Concepts
Model Results Validation
Clustering
Hands-on Exercises for Energy Domains
Module 5: Advanced Techniques and Scaling AI with No-Code Platform
Deep Learning Basics
Introduction to Generative AI
Introduction to No-Code Platform
No-Code Platform Demo
Case studies in the Energy Industry
Customize your own learning journey and track your progress when you start using a defined learning path.