Mastering AI
for Operational Efficiency
- Course Duration: 2 Days
Proposal Overview
This proposal outlines a comprehensive 2-day training program for operation managers
at Asahi Group Holding, focusing on the features and applications of AI tools such as
ChatGPT 4-O, CoPilot, Gemini, and other AI assistant applications. The training aims to
equip participants with practical knowledge and skills to leverage AI for enhancing
operational efficiency, decision-making, and overall productivity.
Training Objectives:
- Understand AI Fundamentals: Provide a foundational understanding of AI and its relevance in operational management.
- Explore AI Tools: Introduce and demonstrate the features and applications of ChatGPT 4-O, CoPilot, Gemini, and other AI assistant tools.
- Enhance Decision-Making: Enable managers to use AI for data-driven decision-making.
- Improve Efficiency: Teach strategies for integrating AI tools into daily operations to streamline processes and improve efficiency.
- Develop Practical Skills: Provide hands-on experience with AI tools to ensure participants can apply what they learn in real-world scenarios.
Training Outcomes:
- AI Knowledge: Participants will have a solid understanding of AI principles and applications.
- Tool Proficiency: Participants will be proficient in using ChatGPT 4-O, CoPilot, Gemini, and other AI tools.
- Operational Improvements: Participants will be able to identify areas in their operations where AI can be applied to enhance efficiency and effectiveness.
- Data-Driven Decisions: Participants will be equipped to use AI for informed and data-driven decision-making.
- Implementation Strategies: Participants will develop strategies for integrating AI tools into their daily workflows.
Course Agenda
DAY 1
Introduction and Fundamentals
9:00 AM - 9:30 AM
Registration and Welcome Coffee
9:30 AM - 10:00 AM
Opening Remarks
- Introduction to the training program
- Objectives and outcomes overview
10:00 AM - 11:00 AM
Session 1 - Understanding AI
- Fundamentals of AI and Machine Learning
- Overview of AI in operational management
11:00 AM - 11:15 AM
Coffee Break
11:15 AM - 12:30 PM
Session 2 - Introduction to ChatGPT 4-O
- Overview of ChatGPT 4-O and its capabilities
- Practical applications in operations management
12:30 PM - 1:30 PM
Lunch Break
1:30 PM - 3:00 PM
Session 3 - Hands-On Workshop: ChatGPT 4-O
- Interactive exercises and real-life scenarios
- Q&A and troubleshooting
3:00 PM - 3:15 PM
Coffee Break
3:15 PM - 4:30 PM
Session 4 - Utilizing ChatGPT for Different Departments
- Marketing: Customer engagement, content creation, and campaign management
- Supply Chain: Predictive analytics, demand forecasting, and inventory management
- Internal Audit: Risk assessment, compliance monitoring, and reporting
- IT: System optimization, automated support, and security management
- HR: Recruitment, employee engagement, and performance management
- Finance: Financial planning, expense tracking, and fraud detection
- Corporate Planning: Strategic analysis, scenario planning, and decision support
- Strategic Communications: Crisis management, media monitoring, and stakeholder engagement
4:30 PM - 5:00 PM
Recap and Q&A
- Summary of Day 1
- Open floor for questions and feedback
DAY 2
Advanced Applications and Integration
9:00 AM - 9:30 AM
Morning Coffee and Networking
9:30 AM - 10:30 AM
Session 5 - Introduction to CoPilot
- Overview of CoPilot and its features
- Integration with existing systems
10:30 AM - 10:45 AM
Coffee Break
10:45 AM - 12:00 PM
Session 6 - Hands-On Workshop: CoPilot
- Practical exercises and real-life scenarios
- Implementing CoPilot in daily tasks
12:00 PM - 1:00 PM
Lunch Break
1:00 PM - 2:30 PM
Session 7 - Introduction to Gemini
- Overview of Gemini and its applications
- Use cases in operational management
2:30 PM - 2:45 PM
Coffee Break
2:45 PM - 4:00 PM
Session 8 - Hands-On Workshop: Gemini
- Practical exercises with Gemini
- Implementing Gemini in daily tasks
4:00 PM - 4:30 PM
Session 9 – Creating Customized AI Assistant
- Overview of Customized GPT
- Comparative analysis and selection criteria
4:30 PM - 5:00 PM
Session 10 – Creating Customized AI Assistant
- Creating Knowledge Source & Integration
- Case studies and best practices
5:00 PM - 5:30 PM
Developing AI Implementation Plans
- Creating actionable AI implementation plans
- Group activities and presentations
5:30 PM - 6:00 PM
Closing Remarks and Certificate Distribution
- Summary of key learnings
- Distribution of certificates of completion
- Networking and closing






























































