AAIE - O&G

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Course Curriculum

The curriculum is spread across 5 weeks with 2 weeks dedicated to our HIVE Projects that focus on applying the knowledge and skills gained to real-world projects

Week 1 – Foundations of AI in Geosciences

  • Hands-On Python for Geoscientists
  • Geoscientific Data Analysis - Part 2
  • Geoscientific Data Analysis - Part 1
  • Python for Geoscientists - Part 2
  • Python for Geoscientists - Part 1
  • Introduction to AI in Geosciences

Program Overview

  • Course logistics
  • LiveAI Learning path
  • Course Overview
  • Meet your instructors and mentors [live session]
  • Welcome to AAIE - O&G

Week 2 – Machine Learning Applications in Geosciences

  • Hands-On Regression - Develop a Petrophysical Parameter Estimation Model
  • Hands-On Classification - Develop a Lithology Classification Model
  • Hands-On Introduction to Classical ML Libraries
  • Machine Learning for Geoscientific Data - Case Study
  • In-Depth Understanding of Main Classification ML Models (LR, DT, RF, SVM, MLP)
  • Types of Regression and Classification Models with Geological Data Examples
  • Fundamentals of Supervised & Unsupervised Learning
  • Introduction to Machine Learning

Week 3 – Advanced AI Techniques in Geosciences

  • Hands-On RNN - Missing Log Prediction
  • Hands-On CNN - Seismic Facies Analysis Using CNNs
  • Introduction to Deep Learning Libraries
  • Guidelines on Practical Aspects
  • AI for Seismic and Reservoir Data - Case Study
  • Recurrent Neural Networks (RNNs) for Seismic and Wireline Logs
  • Convolutional Neural Networks (CNNs) for Image and Seismic Data Analysis
  • Deep Learning Essentials

Week 4 – Cutting-Edge AI and Integration in Geosciences

  • Hands-On Building a RAG App for Querying Large Geological Reports
  • Hands-On Transformers Model Building
  • Retrieval-Augmented Generation (RAG)
  • Large-Language Models (LLMs)
  • Applications of Advanced AI Architectures - Case Study
  • Image Processing Techniques
  • Transformers and Vision Transformers

Week 5 – Model Deployment and HIVE Project

  • Hive Project - Comparison with CNN-Based Model
  • Hive Project - Seismic Facies Analysis with Transformers
  • Hive Project - Impedance Inversion
  • Hive Project - Seismic Resolution Enhancement
  • Hive Project - Introduction
  • Model Deployment - Part 2
  • Model Deployment - Part 1
  • Cloud Computing for AI in Geosciences

Week 6 – HIVE Project Continuation

  • Hive Project - Comparison with CNN-Based Model
  • Hive Project - Seismic Facies Analysis with Transformers
  • Hive Project - Impedance Inversion
  • Hive Project - Seismic Resolution Enhancement

Recorded [LIVE] Sessions

    The LiveAI Experience

    Our Hive Capstone projects are an integral part of all our training programs and have been carefully designed by our industry domain experts.

    Learn Industry Relevant Skills from Industry’s Best

    We work and partner with renowned professionals and researchers in the field of AI/ML to deliver state of the art experience.

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    Work on Real World Projects that provide you with Real World Experience

    Our HIVE Projects are real world projects that provide you with an opportunity to apply what you have learnt therefore giving you the confidence in your skills

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    Get Support from our dedicated team

    Feeling stuck or not confident? Don’t worry, we have a dedicated team to guide you at every step to ensure your doubts are clarified, so that you are able to successfully complete the program

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    Network with Peers and LiveAI team

    Share ideas, discuss your perspective, and network with professionals therefore improving your career prospects.

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    Enroll Now

    Proceed to start your journey in AI industry, click on Add to Cart and you would have already taken your first big step into the world of AI.

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