What You Need to Know Before
You Start
Starts 10 June 2025 03:00
Ends 10 June 2025
00
days
00
hours
00
minutes
00
seconds
38 minutes
Optional upgrade avallable
Not Specified
Progress at your own speed
Free Video
Optional upgrade avallable
Overview
Discover how AWS AI/ML services integrate with SAP systems to optimize supply chains, reduce costs, and improve sustainability through enhanced demand planning and reduced energy consumption.
Syllabus
- Introduction to Course and Objectives
- Fundamentals of SAP Supply Chain Management
- AWS AI/ML Services Overview
- Integration of AWS AI/ML with SAP Systems
- Optimizing Demand Planning with AI/ML
- Reducing Supply Chain Costs with AI/ML
- Improving Sustainability and Reducing Energy Consumption
- Practical Applications and Case Studies
- Ethical and Legal Considerations
- Course Review and Q&A
Overview of SAP systems and supply chain management
Introduction to AWS AI/ML services
Course goals: optimizing supply chains, cost reduction, and improving sustainability
Structure and components of SAP supply chains
Key performance indicators in supply chain management
Challenges in traditional supply chain management
Introduction to AWS AI/ML tools and services
Use cases of AI/ML in various industries
Benefits of integrating AI/ML with existing systems
Methods for integrating AWS AI/ML services with SAP
Tools and technologies for seamless integration
Case studies of successful integrations
Techniques for improving demand forecasting using AI
Use of machine learning algorithms to enhance demand planning
Real-world applications and outcomes
Identifying cost drivers in supply chains
Machine learning strategies for cost reduction
Examples of successful cost optimization
Role of AI/ML in enhancing sustainability
Data-driven energy management solutions
Strategies for minimizing environmental impact
Analysis of real-world examples and case studies
Discussion on lessons learned and best practices
Group activity: designing a strategy for AI/ML implementation in a sample supply chain
Addressing ethical concerns in AI/ML applications
Understanding legal implications and data privacy
Ensuring compliance with international regulations
Summary of key topics covered
Open floor for questions
Guidance on further learning and resources
Subjects
Business