Course Overview
In this comprehensive program, designed for business leaders, candidates will gain the knowledge and insights needed to strategically leverage artificial intelligence within your organization. The candidates will explore real-world use cases, ethical considerations, and the latest AI trends which empowers them to make informed decisions and lead their organization into an era of AI-driven success.
Who should attend
Business Leaders.
Prerequisites
- Business Awareness: Basic understanding of how businesses operate.
- Tech Comfort: Openness to learn about AI tools and concepts.
- Decision-Making Insight: Some knowledge of how choices are made in organizations.
- Openness to AI: Curiosity about the potential of artificial intelligence in businesses.
Course Objectives
- AI Strategy Development
- Learners will develop the skill to formulate AI strategies tailored to organizational needs and goals. This involves assessing the business landscape, identifying opportunities for AI integration, and creating strategic roadmaps for implementation.
- Strategic Decision-making with AI
- Learners will gain the skills to make informed strategic decisions leveraging AI insights and technologies. This involves how to interpret AI-driven analytics, extract actionable insights, and use predictive modelling to optimize decision-making processes across various business functions.
- AI Project Management
- Learners will acquire project management skills specific to AI initiatives, including planning, execution, monitoring, and evaluation. This includes navigation of unique challenges of AI projects, such as data acquisition, model development, and integration with existing systems, while adhering to timelines and budget constraints.
- Strategic AI Planning
- Participants will learn to discover and implement AI solutions for specific business functions or departments. This comprises how AI can streamline processes, improve decision-making, and drive innovation in marketing, finance, operations, and HR.
Outline: AI+ Executive (AIE)
Module 1: Understanding Artificial Intelligence
- 1.1 Introduction to AI in Business
- 1.2 Basic Concepts of AI
- 1.3 History and Evolution of AI in Business
- 1.4 Importance of AI in Modern Business Practices
Module 2: AI technologies and Business Implications
- 2.1 Big Data Concepts
- 2.2 Machine Learning
- 2.3 Natural Language Processing (NLP) and Chatbots
- 2.4 Robotics and Automation
- 2.5 AI Tools Demonstration
Module 3: AI for the Finance Domain
- 3.1 Strategic AI Development
- 3.2 AI and Business Alignment
- 3.3 Measuring AI ROI
Module 4: Ethical, Legal, and Societal Considerations
- 4.1 Ethics in AI
- 4.2 AI and Privacy Laws
- 4.3 AI Governance
Module 5: Managing AI Projects
- 5.1 AI Project Management
- 5.2 Leading AI Teams
- 5.3 Case Study Analysis
Module 6: AI and Future or Work
- 6.1 Impact on the Workforce
- 6.2 Skills for the AI Era
- 6.3 Future Trends in AI
Module 7: Department-Specific AI Applications
- 7.1 Finance and Accounting
- 7.2 Marketing and Sales
- 7.3 Human Resources
Module 8: Interactive Workshop
- 8.1 AI Integration Planning
- 8.2 Workshop Activities