Self Paced

Automated Employee Lifecycle Management

Automated Employee Lifecycle Management integrates AI and automation tools to enhance HR processes from recruitment to retirement.

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Management Program

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MODE
e-LMS

TYPE
Mentor Based

LEVEL
Moderate

DURATION
3 Months

About

This program delves into the application of artificial intelligence and automation in managing the employee lifecycle, including hiring, onboarding, performance management, learning and development, and separation. It focuses on streamlining HR operations, enhancing employee engagement, and optimizing workforce management through technology.

Aim

The aim of the Automated Employee Lifecycle Management program is to equip HR professionals and organizational leaders with the tools and strategies needed to effectively integrate AI and automation across all stages of the employee lifecycle. This program focuses on optimizing HR processes, enhancing employee engagement, and fostering a technologically advanced workplace culture.

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Management Program

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Program Objectives

Understand the role of AI and automation in modern HR practices.
Master the use of AI tools for recruitment and talent acquisition.
Learn automated approaches to employee onboarding and integration.
Explore AI-driven performance management and feedback systems.
Develop skills in leveraging AI for employee training and development.
Analyze the impact of automation on employee retention and separation processes.

Program Structure

Module 1: Introduction to AI in Employee Lifecycle Management

Section 1: Foundations of AI in Management
- Understanding AI and its Implications for HR
- Evolution of AI Technologies in Human Resources
Section 2: Overview of Employee Lifecycle
- Key Stages in Employee Lifecycle Management
- Role of AI in Enhancing Employee Experience

Module 2: Recruitment and Onboarding

Section 1: AI-driven Recruitment
- Automated Resume Screening and Candidate Selection
- AI in Talent Acquisition and Recruitment Analytics
Section 2: Onboarding Processes
- Enhancing Onboarding with AI-driven Tools
- Case Studies: Successful AI Integration in Onboarding

Module 3: Performance Management and Employee Engagement

Section 1: AI in Performance Management
- Real-time Performance Tracking and Feedback Mechanisms
- Predictive Analytics in Employee Performance
Section 2: Enhancing Employee Engagement
- AI Tools for Employee Engagement Monitoring
- Tailoring Employee Experiences Using AI

Module 4: Learning and Development

Section 1: Personalized Learning Paths
- AI in Crafting Individual Learning Experiences
- Integration of AI with Learning Management Systems (LMS)
Section 2: Measuring Impact of Training
- AI in Tracking Effectiveness and ROI of Training Programs
- Predictive Insights on Future Learning Needs

Module 5: Employee Retention and Turnover

Section 1: Predicting Employee Turnover
- Using AI for Predictive Analytics in Retention Strategies
- Identifying At-Risk Employees and Intervening Proactively
Section 2: Retention Strategies
- AI-driven Retention Programs
- Success Stories: AI Enhancements in Reducing Turnover

Module 6: Compliance and Ethics in AI

Section 1: Ethical AI Use
- Ensuring Ethical Deployment of AI in HR
- Balancing Automation and Human Touch
Section 2: Compliance with HR Laws
- AI in Monitoring and Ensuring Compliance
- Case Studies: Navigating Legal Aspects of AI in HR

Module 7: Future Trends and Innovations

Section 1: Emerging Technologies
- Latest Innovations in AI for HR
- Exploring the Potential of AI in Future HR Practices
Section 2: Preparing for the Future
- Building an AI-ready HR Workforce
- Strategic Planning for AI Integration in HR Processes

Participant’s Eligibility

HR professionals looking to modernize their practices with AI and automation.
Business leaders and managers overseeing HR functions.
IT professionals specializing in HR technologies.
Students and academics studying HR management, organizational behavior, or related fields.

Program Outcomes

Proficiency with HR Tech Platforms: Mastery of AI-based HR management systems for various HR functions.
Data-Driven Decision Making: Ability to use data analytics for making informed HR decisions.
Automated Workflow Implementation: Skills in setting up automated workflows for HR processes.
Performance Analytics: Expertise in utilizing AI tools for performance tracking and management.
Enhanced Employee Engagement: Techniques for using automation to improve employee engagement and experience.
Strategic Workforce Planning: Ability to apply AI for strategic planning and talent management.
Change Management: Skills in managing organizational change related to new technology adoption.

Fee Structure

Batches

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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.