Скачать или смотреть L 08 Case Study 2: AI in Production Process - How Good Are My Products?

🎓 Course Title: Artificial Intelligence in Engineering Business Processes
🏛️ Institute: National Institute of Technology Rourkela
📘 Course Code: 2512004
👨‍🏫 Course Coordinator: Prof. Dr. Shyamapada Mukherjee
🌍 Foreign Faculty: Prof. Dr. Bhaskar Choubey
📚 Offered under: GIAN (Global Initiative of Academic Networks)

💡 About the Course:
This course offers an in-depth look at how AI transforms business processes in engineering, from marketing predictions to production quality checks and liquidity forecasting. Participants will explore machine learning models, neural networks, and advanced analytics while working hands-on with Python-based case studies.

🔍 Key Learning Modules:
📜 Lecture 1: Historical Perspectives & Future Possibilities of Business Computation
📊 Lecture 2 & 3: Data Analysis – Descriptive & Inferential Statistics
💻 Tutorial 1: Programming for Financial Models
🔄 Lecture 4: Data in Business Processes
🧠 Lecture 5: Introduction to Neural Networks
🐍 Tutorial 2: Python Coding for Deep Learning
🛒 Case Study 1: AI in Marketing – Customer Return Prediction
⚙️ Case Study 2: AI in Production Process – Product Quality Assessment
💰 Case Study 3: AI in Liquidity Forecasting – Cash Flow Planning
🧩 Tutorials: Model Training & Implementation in Python

📺 What You’ll Gain:
Practical Python coding for AI applications
Understanding of machine learning model selection
Ability to apply AI in real-world engineering business case
Hands-on experience with data-driven decision-making tools

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