Self Paced

Predictive Workforce Planning

This 3-month program on Predictive Workforce Planning utilizes AI to enhance workforce management. It covers AI applications in management, data analytics, predictive planning, talent management, and ethical AI governance, equipping participants with skills to optimize and predict workforce needs effectively.

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Management Program

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MODE e-LMS

TYPE

LEVEL Advance

DURATION 3 Months

About

The program integrates AI with strategic workforce planning, focusing on leveraging AI for data-driven decision-making and talent management. It includes hands-on sessions on using AI tools for predictive analytics and developing strategies for employee retention and recruitment.

Aim

The aim of this program is to empower HR professionals and managers with AI-driven tools and insights for strategic workforce planning. It aims to enhance participants’ ability to predict and meet future workforce requirements, improving organizational efficiency and competitiveness.

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Management Program

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Program Objectives

Introduce AI and its applications in management.
Demonstrate the use of data analytics in decision-making.
Equip participants with skills in predictive workforce planning.
Enhance recruitment and retention strategies through AI.
Foster ethical AI implementation in workforce management.
Discuss AI governance and policy development.
Explore future AI trends impacting management.
Engage with real-world case studies of AI in businesses.
Develop strategic plans for AI integration in workforce processes.
Prepare participants for AI-driven organizational transformations.

Program Structure

Module 1: Foundations of AI in Management

Section 1: Introduction to AI and Its Applications in Management
- Overview of Artificial Intelligence
- Key Differences and Applications in Management
Section 2: AI Technologies in Management
- Understanding Machine Learning, Deep Learning, and Neural Networks
- Roles of AI in Strategic Management and Operational Efficiency

Module 2: Data Analytics and Decision Making

Section 1: Data-Driven Decision Making
- Role of Data in Modern Management
- Techniques for Data Collection and Analysis
Section 2: Implementing AI for Analytics
- Tools and Platforms for AI-powered Analytics
- Case Studies of AI in Business Analytics

Module 3: Predictive Workforce Planning

Section 1: Basics of Predictive Planning
- What is Predictive Workforce Planning?
- Identifying Patterns and Predicting Outcomes
Section 2: Tools and Techniques
- Software and Tools for Predictive Analytics
- Developing Predictive Models for HR

Module 4: AI in Talent Management

Section 1: Recruitment and Selection
- AI in Screening and Recruitment Processes
- Enhancing Candidate Experience with AI
Section 2: Retention and Development
- AI-driven Strategies for Employee Retention
- Personalized Learning and Development Using AI

Module 5: Ethical Considerations and AI Governance

Section 1: Ethics in AI
- Ethical Concerns and Challenges in AI Implementation
- Principles of Responsible AI Usage in Management
Section 2: AI Governance
- Developing Policies for AI Use in Organizations
- Case Studies on AI Governance

Module 6: Future Trends in AI and Management

Section 1: Emerging Technologies
- Latest Advancements in AI and Their Potential Impact
- Integrating IoT and Blockchain with AI for Enhanced Management
Section 2: Preparing for the Future
- Skills Needed for Managing AI-driven Organizations
- Strategic Planning for Future AI Initiatives

Module 7: Case Studies and Real-world Applications

Section 1: Success Stories in AI
- Review of Successful AI Implementations in Large Corporations
- Impact of AI on Business Performance
Section 2: Lessons Learned and Best Practices
- Common Pitfalls in AI Implementation and How to Avoid Them
- Best Practices for Integrating AI in Management

Participant’s Eligibility

HR professionals seeking to leverage AI in workforce planning.
Managers interested in integrating AI tools for team management.
Business analysts aiming to apply data analytics in HR functions.
Professionals in strategic planning and operational roles.

Program Outcomes

Mastery of AI tools for predictive analytics in workforce management.
Ability to implement data-driven decision-making processes.
Enhanced skills in AI-driven recruitment and retention.
Knowledge of ethical considerations in AI applications.
Understanding of AI governance within organizations.
Insight into integrating emerging technologies like IoT in management.
Practical experience from AI case studies in various industries.
Strategies for navigating AI implementation challenges.
Ability to develop policies for responsible AI use.
Preparedness for future advancements in AI and management.

Fee Structure

Batches

Spring

Summer

Autumn

Winter

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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.