Certified Specialist Programme in Machine Learning for Demand Optimization
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- Introduction to Machine Learning for Demand Optimization
- Forecasting Techniques for Demand Prediction (Time series analysis, ARIMA, Prophet)
- Optimization Algorithms for Inventory Management (Linear Programming, Dynamic Programming)
- Machine Learning Models for Demand Forecasting (Regression, Neural Networks, Gradient Boosting)
- Demand Sensing and Real-time Optimization
- Causal Inference and A/B Testing for Demand Optimization
- Data Preprocessing and Feature Engineering for Demand Datasets
- Model Evaluation and Selection Metrics (RMSE, MAE, MAPE)
- Deployment and Monitoring of Machine Learning Models in Production
- Case Studies in Demand Optimization using Machine Learning
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Career Role Description Machine Learning Engineer (Demand Optimization) Develops and implements machine learning models for forecasting and optimizing demand, leveraging algorithms to improve resource allocation and reduce waste.
High demand for expertise in Python and SQL.
Data Scientist (Demand Forecasting) Analyzes large datasets to identify trends and patterns impacting demand, building predictive models to inform business decisions.
Requires strong statistical modeling and visualization skills.
AI/ML Specialist (Supply Chain Optimization) Applies AI and machine learning techniques to optimize supply chain processes, including inventory management, logistics, and distribution.
Experience with cloud platforms (AWS, Azure, GCP) is valuable.
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- BasicUnderstandingSubject
- ProficiencyEnglish
- ComputerInternetAccess
- BasicComputerSkills
- DedicationCompleteCourse
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- ThreeFourHoursPerWeek
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