OVERVIEW
Discover how you can accelerate your company’s operational growth with MMT Universal Academy’s specialized ai for hr course training in Malaysia. Our program is designed to focus on critical areas that are vital for professional innovation, maximizing workplace efficiency, and fostering a smarter, tech-driven corporate environment. When you join MMT Universal Academy’s fully claimable ai for hr course, your team will go through carefully crafted modules designed to teach participants the skills for simplifying complex artificial intelligence systems and applying them directly to real-world talent management challenges.
These lessons are especially useful for HR managers, recruiters, talent acquisition specialists, and people operations teams operating in roles where data-driven hiring and modern workforce planning are important. Our comprehensive course covers key operational domains such as AI-driven recruitment screening, predictive talent analytics, automated onboarding workflows, and essential AI ethics in data privacy. These will be among the many highly demanded skills taught that are essential for individuals and organizations to excel and stay competitive in a rapidly digitizing business ecosystem.
Our expert training practitioners also provide insightful, hands-on tips on how to use these automated technologies securely, streamline employee engagement processes, and effectively empower participants to become more productive workers. Explore how our specialized human resource framework can help your workforce transform digital recruitment disruptions into a strategic advantage today. Contact MMT Universal Academy now to start your HR technology transformation and achieve better professional results.
By the end of this course the delegates will be able to:
- Understand AI’s impact on HR processes and talent management.
- Analyze and utilize talent-related data for strategic decision-making.
- Implement AI-powered tools for recruitment, onboarding, and employee engagement.
- Develop ethical AI strategies that enhance workforce diversity and inclusion.
- Automate HR operations using AI-driven solutions.
- Design a data-driven AI roadmap for talent management.
Typically spans 2 days (9am to 5pm).
Nonetheless, we can customize both the program’s duration and schedule to cater to unique client requirements (e.g., compact 1-day workshops or extended sessions beyond 2 days).
- HR Executives
- HR Managers
- Supervisors
- Team Leaders
- Professionals interested in AI literacy and smart workplace adaptation
PROPOSED OUTLINE/AGENDA
DAY 1 (9am to 5pm)
- Icebreaker & Trainer Introduction
- Program Objectives
- Overview of AI applications in HR
- The role of AI in improving HR decision-making
- AI trends shaping the future of work
- Types of HR data and sources
- Data analytics for workforce planning
- Case studies: Successful AI adoption in HR
- AI-driven candidate sourcing and resume screening
- Enhancing candidate experience with AI chatbots
- Reducing hiring biases with predictive analytics
- Leveraging AI for personalized job advertisements
- Social media analytics for talent sourcing
- Employer branding strategies using AI insights
DAY 2 (9am to 5pm)
- Reflection of Day 1
- AI-driven employee sentiment analysis
- Predicting attrition and workforce trends\
- Personalized career development plans with AI
- AI in payroll, scheduling, and compliance
- Robotic Process Automation (RPA) for HR efficiency
- AI-driven learning and development platforms
- Addressing biases in AI-based HR decisions
- Global data privacy laws and compliance considerations
- Building trust in AI-driven HR processes
- Designing a roadmap for AI integration in HR
- Measuring the ROI of AI-driven HR initiatives
- Interactive case study: Building an AI-enabled HR strategy
PROGRAM METHODOLOGY
- Interactive Lectures: Engaging presentation of AI concepts in HR
- Case Studies: Real-world examples from leading organizations.
- Hands-On Labs: Practice with AI tools like chatbots, analytics platforms, and HR tech software.
- Group Discussions: Peer learning and scenario-based problem solving.
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