Advanced Certificate in Supply Chain Intelligence Module 4: Machine Learning and the Digital Supply Chain (Synchronous E-Learning)

Training Provider: SINGAPORE MANAGEMENT UNIVERSITY
Course Reference: TGS-2023021300
S$900
Original: S$3,000
Save S$2,100

About This Course

At the end of the 3-day module, participants will be able to:
• Manage “The Big Data” in the supply chain
• Align Industry 4.0 solutions within the supply chain
• Understand Artificial Intelligence, Machine Learning and Deep Learning
• Learn about immersive technologies and their applications
• Gain an understanding of intelligent transport and distribution systems

What You'll Learn

Traditional business intelligence has always been about producing insights into data about the past: last quarter's trends, last month's overtime, last week's sales. Those insights are still important, but they're no longer sufficient. Supply chain management using machine learning's (ML) predictive capabilities, on the other hand, helps buyers and suppliers get out in front of changes and stay resilient in the face of major disruptions. ML technology can process and analyse data from every layer of an enterprise to provide both high-level and incredibly granular forecasting for demand, delivery, customer behaviour, and forward and reverse supply flow.

This module provides participants with essential knowledge of ML and Deep Learning using commercially available software and tools. Participants will also gain an understanding of big data, business data, and analytics in business. They will learn how to generate business value from the application of Google AppSheet and Robotic Process Automation (RPA) and be able to create business analytics reports and analyse business data sets to generate facts, valuable outcomes, and sustainable impacts.

Entry Requirements

• Participants must possess at least 4 GCE 'O' level passes or equivalent.
• Participants with relevant working experiences may be considered for entry on a case to case basis if they do not have the necessary qualification."

Course Details

Duration 22 hours
Language English
Training Commitment Not specified
Total Enrolled New course
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Note: To apply for this course, visit the SkillsFuture website or contact the training provider directly.

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