• views: 177
• date: 29 May 2025
• posted by: voska89

What you'll learn
Core Forecasting Techniques
Introduction to AI and Its Role in Forecasting
Hands-On Use of AI Tools
Choosing the Right Model for Your Business Context
Requirements
Passion for learning forecasting techniques plus artificial intelligence applications
Description
In today's fast-paced supply chains, accurate demand forecasting is critical—and Artificial Intelligence is revolutionizing how businesses predict demand. This course is designed to equip planners, analysts, and supply chain professionals with the skills to integrate AI into their forecasting processes.You'll start by learning the fundamentals of demand forecasting, exploring both traditional techniques (like Moving Average, Exponential Smoothing, Linear Regression, and ARIMA) and specialized methods for intermittent demand such as Croston's Method. We'll dive deep into how and when to apply each model, using real-world business examples and intuitive explanations.Next, we shift into the world of AI and machine learning. You'll discover how AI enhances forecasting accuracy, handles large datasets, adapts to changing trends, and uncovers patterns that traditional models might miss. With practical demos and hands-on guidance, you'll learn to use Python-based tools and platforms like Prophet, Scikit-learn, and even cloud-based solutions such as AWS Forecast and Google AutoML.Whether you're managing inventory, planning production, or leading demand planning initiatives, this course will help you move beyond spreadsheets and into data-driven, intelligent forecasting. No previous coding experience is required—just curiosity, analytical thinking, and a desire to bring forecasting into the future of digital transformation.Instructor: Abraham Natanael Camargo Ortega
Who this course is for
Demand Planner, Supply Chain professionals, Forecasters, Python programmers
Homepage

https://www.udemy.com/course/ai-powered-demand-forecasting/

   
   
   

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