×
1

    • Customize Your Learning Journey
    Customize Your Learning Journey
    Customize Your Learning Journey
    Customize Your Learning Journey
    Customize Your Learning Journey
    Customize Your Learning Journey
    Customize Your Learning Journey
    Customize Your Learning Journey
    Customize Your Learning Journey
    Customize Your Learning Journey
    Customize Your Learning Journey

    Class and Course
    1. NExT
    2. Digital Technology
    3. Practical AI Fundamentals for Energy Professionals

    Practical AI Fundamentals for Energy Professionals

    • Foundation
    • classroom1Classroom

    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


  • Energy Industry Professionals: Engineers, geoscientists, and technicians looking to enhance their knowledge and skills in AI and machine learning applications specific to the energy sector.
  • Data Analysts and Scientists: Individuals working with data in the energy industry who want to deepen their understanding of AI and ML techniques.
  • IT Professionals: Those involved in the implementation and support of AI and data science projects within energy companies.
  • Managers and Executives: Decision-makers seeking to understand the potential and impact of AI technologies on their operations and strategy.
  • Academics and Researchers: Scholars interested in applying AI methodologies to energy-related research and development projects.

    • CONFIRMED CLASS
    Pau, France
    November 18-22, 2024
    $5,500
    Register
    Add to Wishlist
    • Registration for this class closes on November 14.
    • If registration has closed, use the Contact us form to enquire about this class.

    Set a training goal, and easily track your progress

    Customize your own learning journey and track your progress when you start using a defined learning path.

    Icon
    In just few simple steps, you can customize your own learning journey in the discipline of your interest based on your immediate, intermediate and transitional goals. Once done, you can save it in NExTpert, the digital learning ecosystem, and track your progress.
    Explore

    SOLUTIONS

    Corporate

    Individual

    COURSE OFFERINGS

    Petrotechnical

    Operations and Maintenance

    New Energy

    SLB Software

    Digital Technology

    Technical Challenges

    Health Safety and Environment (HSE)

    Business Management

    E&P Introduction and Fundamentals

    © 2024 SLB Limited. All rights reserved.