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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Your Gateway to a Resilient and Smart Energy Future
The AI Academy bridges the gap between AI specialists and industry experts. You can learn to code and master no-code tools to create AI solutions for your daily challenges. It also allows you to dive into digital technologies, experiencing firsthand the transformative power of AI across reservoir engineering, production, drilling, seismic, geological interpretation, and the energy transition.
Short courses from the NExT catalog of digital training and AI training can also be included.
The training provides an introduction to the field of Artificial Intelligence (AI). It begins with an overview of AI's history, key developments, and its intricate relationship with machine learning and deep learning. The course then shifts to a hands-on approach, introducing Python for data science, including the setup of the development environment and usage of...
This course provides an updated overview of AI trends and enhances Python skills for AI development. It covers data handling with Pandas and Numpy, machine learning with sklearn, and data annotation techniques. Learners will also create visualizations with Plotly, build web apps using Streamlit, and manage AI projects with Dataiku and MLOps practices.
This five-day course is designed to provide business leaders with a comprehensive understanding of artificial intelligence and its applications in business. It covers the fundamentals of AI, explores its benefits and challenges, and presents practical examples of AI in real-world business settings.
This is a five-day comprehensive training program designed to equip energy professionals with the knowledge and skills to utilize Generative AI (GenAI) effectively in their work. The course caters to both beginners and those with some prior knowledge of GenAI, and no prior Python experience is necessary.
Explore the vast potential of Machine Learning in the energy industry through a comprehensive training program. Grasp essential concepts, methodologies, and techniques of Machine Learning with a strong emphasis on their application in the energy sector. The course is designed to integrate theoretical knowledge with hands-on learning experiences...
This five-day Deep Learning for the Energy Industry training equips participants with theoretical knowledge and practical skills in implementing deep learning. Attendees learn the application of deep learning techniques to complex energy industry problems. They gain hands-on experience using AI.
The "NLP for the Energy Industry" training is meticulously designed to equip students with a profound understanding of both the theoretical underpinnings and practical applications of Natural Language Processing (NLP) within the unique context of the energy sector. This specialized curriculum bridges the gap between abstract NLP concepts and real-world...
The "Computer Vision for the Energy Industry" training is an immersive program designed to provide students with an in-depth understanding of computer vision technologies and their strategic implementation in the energy sector. The curriculum is crafted to impart essential knowledge about the latest advancements in image processing with a special focus...
The "Time Series Analysis for the Energy Industry" training is an advanced training tailored to professionals seeking to master the intricacies of time series data within the context of the energy sector. Participants will be immersed in a comprehensive exploration of the fundamental components of time series analysis.