Self Paced

AI-Enhanced Leadership Development

This 3-month intensive program explores the integration of AI in leadership, equipping current and aspiring leaders with the skills to harness AI for effective decision-making, team dynamics enhancement, and strategic planning. Participants will engage with real-world case studies, hands-on projects, and expert-led discussions to understand AI’s transformative impact on leadership.

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Management Program

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MODE
e-LMS

TYPE

LEVEL
Moderate

DURATION
3 Months

About

The AI-Enhanced Leadership Development program delves into the application of AI technologies in leadership roles. It covers foundational AI concepts, data-driven decision making, team dynamics, ethical leadership, AI governance, and future trends. The program blends theoretical knowledge with practical applications through interactive sessions and a capstone project.

Aim

The program aims to prepare leaders to effectively integrate AI into their management practices, enhance operational efficiency, and navigate the ethical challenges associated with AI. It seeks to cultivate a deep understanding of AI’s potential to transform leadership strategies and organizational dynamics for the future.

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Management Program

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Program Objectives

Understand the key concepts and historical evolution of AI in leadership.
Learn to integrate AI tools for strategic planning and decision-making.
Enhance data analysis and interpretation skills specific to leadership roles.
Implement AI to improve team collaboration and operational efficiency.
Navigate ethical considerations and governance of AI in leadership.
Develop AI-driven change management strategies.
Prepare for emerging trends and future AI technologies in management.
Apply AI concepts practically through a capstone project.
Analyze real-world AI leadership strategies across industries.
Foster critical thinking and problem-solving skills in AI contexts.

Program Structure

Module 1: Foundations of AI in Leadership

Section 1: Introduction to AI and Its Impact on Leadership
- Definitions and key concepts in AI
- Historical evolution of AI technologies and their adoption in management
Section 2: Integrating AI with Management Practices
- Overview of AI tools and platforms relevant to managers
- Roles of AI in strategic planning and decision-making

Module 2: AI-Driven Decision Making

Section 1: Data-Driven Leadership
- Importance of data in AI-enhanced decision making
- Tools for data analysis and interpretation in leadership roles
Section 2: Implementing AI Decision Frameworks
- Case studies on successful AI integration
- Designing AI workflows for management decisions

Module 3: Enhancing Team Dynamics and Operations with AI

Section 1: AI in Team Collaboration and Productivity
- AI tools for improving team collaboration and communication
- Analyzing productivity metrics with AI
Section 2: AI for Operational Efficiency
- Automating routine tasks with AI
- AI in supply chain management and operations

Module 4: Ethical Leadership and AI Governance

Section 1: Ethics in AI
- Ethical considerations and challenges in using AI
- Responsible AI usage in leadership
Section 2: AI Policy and Governance
- Developing AI policies for organizations
- Role of leaders in governing AI usage

Module 5: Transforming Leadership with AI

Section 1: Change Management and AI Implementation
- Strategies for leading change in AI initiatives
- Overcoming resistance to AI adoption
Section 2: Future Trends in AI and Leadership
- Predicting future AI trends in management
- Preparing for leadership in the AI-driven future

Module 6: Case Studies and Real-World Applications

Section 1: Analysis of Successful AI Leadership Strategies
- Examination of prominent case studies in various industries
- Lessons learned from successful AI integration
Section 2: Critical Analysis and Group Discussion
- Interactive sessions to discuss real-world scenarios
- Group activities to apply AI concepts in leadership challenges

Module 7: Capstone Project and Practical Application

Section 1: Project Design and Development
- Participants design a leadership project incorporating AI
- Practical application of theories learned in previous modules
Section 2: Project Presentation and Review
- Presentation of group projects
- Feedback sessions and expert reviews to refine approaches and outcomes

Participant’s Eligibility

Current leaders and managers seeking to enhance their skills.
Aspiring leaders aiming to incorporate AI into their management toolkit.
Professionals in strategic planning, operations, and HR.
Individuals with a basic understanding of AI and leadership principles.

Program Outcomes

Mastery of AI applications in leadership and management.
Ability to lead AI-driven change in organizations.
Enhanced decision-making skills using AI tools and data analysis.
Improved team productivity and collaboration through AI solutions.
Strategic development of AI policies and governance frameworks.
Ethical management of AI technologies.
Practical experience from capstone project design and implementation.
Insight into the future landscape of AI in leadership.
Networking with experts and peers in AI and leadership.
Development of a personal leadership style adapted to the AI era.

Fee Structure

Batches

Spring

Summer

Autumn

Winter

Live

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Certificate

Management Non Mentor Program Certificate

Program Assessment

Certification to this program will be based on the evaluation of following assignment (s)/ examinations:

Exam	Weightage
Mid Term Assignments	20 %
Final Online Exam	30 %
Project Report Submission (Includes Mandatory Paper Publication)	50 %

To study the printed/online course material, submit and clear, the mid term assignments, project work/research study (in completion of project work/research study, a final report must be submitted) and the online examination, you are allotted a 1-month period. You will be awarded a certificate, only after successful completion/ and clearance of all the aforesaid assignment(s) and examinations.