Post Graduate Certificate in Strategic Supply Chain Management with AI

Overview

Class Central Tips

In this programme, you’ll build a solid foundation in machine learning (ML) techniques and focus on the deployment of artificial intelligence (AI) and ML in supply chain systems and processes.

As you advance through the programme, you’ll learn how to:

- Make better supply chain decisions
- Optimize logistics processes and inventory
- Make better production plans
- Improve existing forecasting methods

Supply chain practitioners, business analysts, supply chain consultants, and anyone seeking to advance a career in operations and supply chain management will find this programme useful.

Syllabus

Course 1: Programming for AI & Data Analytics
- Learn Python and R, the most in-demand programming languages for artificial intelligence.

Course 2: Machine Learning and AI
- Learn machine learning concepts and algorithms, as well as supervised and unsupervised learning techniques.

Course 3: Foundations of Supply Chain Management
- Understand the scale, size, and complexity as well as the decision-making levels in the modern supply chain, and learn to assess the dynamics and impact of constituent processes and functions. Learn quantitative tools and techniques for managing processes including statistical process control, queuing etc.

Course 4: Advanced Supply Chain Planning
- Understand the role of forecasting in supply chain planning and learn how to forecast demand using time-series methodology and improve accuracy by building associative prediction models and several other quantitative models for supply chain processes including layout, inventory etc.

Course 5: Intelligent Supply Chain Strategies + Capstone Project
- Apply the concepts learned in the first four courses to build AI models for supply chain projects.