Leadership with AI

Upcoming Schedules:

• 23rd September 2024 - Monday
• 22nd October 2024 - Monday

Course Overview:

This course explores the intersection of leadership and artificial intelligence (AI). It aims to equip leaders with the knowledge and skills to leverage AI technologies to enhance decision-making, drive innovation, and lead effectively in the digital age.

• Understand the fundamentals of AI and its applications in leadership.
• Develop strategies for integrating AI into organizational processes.
• Enhance decision-making and problem-solving skills using AI tools.
• Foster a culture of innovation and adaptability in the workplace.
• Address ethical considerations and challenges associated with AI.

Target Audience:

This course is suitable for Senior Leaders who want to leverage AI services to facilitate and deploy intelligent solutions.

Prerequisites:

Prerequisites include a basic understanding of AI concepts, and leadership experience managing teams or projects. Participants should be comfortable with technology, possess data literacy, and have strategic thinking and problem-solving skills.

Open-mindedness and adaptability to new technologies are crucial, with pre-course reading and optional workshops recommended for additional preparation.

What's Included :

• 6 weeks - workshop mode - instructor-led training – 4 hours per week – Total 24 hours
• Recommended study guides & class notes
• Leading Industry CXO practitioner delivering the class
• Case studies 
• Groups projects & exercises 
• Q&A sessions and final project presentation

Module 1: Introduction to AI and Leadership

• Overview of AI: History, Types, and Applications
• The Role of AI in Modern Leadership
• Case Studies: Successful AI Integration in Leadership

Module 2: AI Technologies and Tools for Leaders

• Machine Learning and Data Analytics
• Natural Language Processing (NLP) and Chatbots
• AI-Driven Decision Support Systems

Module 3: Strategic Integration of AI in Organizations

• Identifying Opportunities for AI Implementation
• Developing an AI Strategy
• Change Management and AI Adoption

Module 4: Enhancing Decision-Making with AI

• Data-Driven Decision Making
• Predictive Analytics and Forecasting
• Real-Time Decision Support

Module 5: Innovation and AI-Driven Leadership

• Fostering a Culture of Innovation
• AI in Product Development and Customer Experience
• Case Studies: AI-Driven Innovation

Module 6:  Ethical Considerations and Challenges

• Ethical AI: Principles and Practices
• Addressing Bias and Fairness in AI
• Legal and Regulatory Considerations

Module 7:  Building AI Competencies in Teams

• Training and Upskilling Employees
• Collaborative AI: Human-AI Interaction
• Leadership Skills for the AI Era

Module 8:  Future Trends and Emerging Technologies

• The Future of AI in Leadership
• Emerging AI Technologies
• Preparing for the Future: Continuous Learning and Adaptation
• Final Presentation on AI Strategy for a Real-World Scenario