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
Gain an updated understanding of AI trends and refresh your Python skills, enabling you to utilize key libraries for AI development.
Acquire expertise in data handling with Pandas and Numpy, and apply machine learning techniques for data preparation.
Develop the ability to clean data, engineer features, and construct machine learning models using sklearn effectively.
Learn comprehensive data annotation tools and methodologies, ensuring high-quality data for AI models.
Design engaging visuals with Plotly and develop interactive web applications using Streamlit.
Understand how to initiate and manage AI projects, orchestrate data, and deploy machine learning models using Dataiku’s visual interface and MLOps practices.
Module1: Understanding Your Data ​
Machine Learning Refresher​
Why Data is Important ​
Data Types ​
Build the Dataset ​
Feature Engineering
Module 2: Data Preparation and Management​
Systematic approach to data preparation​
Cleaning and Organizing Data​
Methods for consistent machine learning inputs​
Advancing skills in data augmentation​
Integrating diverse data sources
Module3: Data Annotation​
Fundamentals of Data Annotation​
Annotation Tools Exploration​
Best Practices in Data Annotation​
Quality Assurance in Annotation
Module 4: Introduction to Interactive Visualization​
Introduction to Webapps​
Engaging Visuals with Plotly​
Dash Framework Overview​
Component Deep Dive​
Elevating Your Dashboards
Module 5: Build End-to-End Workflow​
Hands-on Lab with No Code tools​
Connect Data​
Enrich Data​
Transform Data​
Visualize Data
Customize your own learning journey and track your progress when you start using a defined learning path.