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  • Class and Course

    Introduction to AI for the Energy Industry

    This 5-day training course, "Introduction to AI for the Energy Industry," provides a comprehensive overview of artificial intelligence, machine learning, and their applications in the energy sector. Participants will explore AI fundamentals, including historical milestones and key developments, and delve into machine learning techniques and advanced methods like neural networks and deep learning. Practical sessions cover Python programming, data visualization, and the use of AI tools and libraries. The course also introduces no-code platforms for scaling AI solutions and includes hands-on labs and case studies to illustrate real-world applications in the energy industry.

    Fundamentals of Artificial Intelligence

    • Historical Context and Milestones
    • Key Developments and Breakthroughs in the Field of AI
    • Generative AI Revolution
    • Relations between Artificial Intelligence, Machine Learning, and Deep Learning
    • Debunking AI Myths
    • Python Setup

    Introduction to Machine Learning

    • Python 101
    • Supervised Learning
    • Unsupervised Learning
    • Most Important Machine Learning Algorithms
    • Machine Learning in Practice
    • Machine Learning in the Energy Industry

    Introduction to Advanced Techniques

    • Understanding Neural Networks
    • The Deep Learning Workflow, Tools, and Libraries
    • Deep Learning in the Energy Industry
    • Introduction to Generative AI
    • Key Concepts and Definitions
    • Generative AI Examples for Energy Industry


    Python Basics for Data Science

    • Python Basics for Data Science
    • Data Visualization
    • Python Libraries for AI
    • Data Processing
    • Hands-on Exercises


    Scaling AI with No-Code Platform

    • Data Science Lifecycle
    • Building Pipelines and Workflows
    • AI, ML, and Generative AI with No Code
    • Scaling – DataOps, MLOps, and Governance
    • Hands-on Lab
    • Case Studies

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