AI for HR Professionals Training Course

Name: Data Analytics Training and Advisory Services Harare
Price range: $$$

AI for HR Professionals Training Course is delivered over 5 days. The course will provide a mix of foundational knowledge, practical skills, and real-world applications of AI in human resources.

Day 1: Introduction to AI and HR

Morning (4 hours)
1. Welcome & Overview of AI
  - Understanding AI and its evolution
  - Types of AI (Narrow AI vs. General AI)
  - Key AI concepts: Machine learning, deep learning, NLP
2. AI in HR Context
  - Overview of AI applications in HR
  - Benefits and challenges of AI in HR
  - Ethical considerations and bias in AI
Afternoon (4 hours)
1. The HR Landscape and Technology
  - Traditional HR processes vs. AI-driven HR
  - Current HR technology trends (ATS, chatbots, employee analytics)
2. AI in Recruitment
  - AI tools for sourcing and screening candidates
  - Resume parsing and candidate matching
  - Chatbots in the interview process
  - Hands-on: Using an AI-driven ATS (Applicant Tracking System) demo

Day 2: AI in Talent Acquisition

Morning (4 hours)
1. AI for Job Matching and Candidate Sourcing
  - AI for talent pooling and job board scraping
  - Automated sourcing through social media and LinkedIn
  - Machine learning in job descriptions
2. AI-Powered Interviewing
  - Video interviews with AI-powered analysis
  - Analyzing candidate responses and facial expressions
  - Hands-on: Mock AI-driven interview session
Afternoon (4 hours)
1. Bias in Recruitment
  - Understanding and mitigating biases in AI recruitment tools
  - Best practices for inclusive AI recruitment
2. Building an AI-Enhanced Recruitment Strategy
  - Integrating AI with traditional recruitment methods
  - Case study discussion: Successful AI implementation in talent acquisition

Day 3: AI for Employee Engagement and Development

Morning (4 hours)
1. AI for Employee Experience
  - AI in onboarding: Personalized and automated onboarding journeys
  - Chatbots for employee queries and self-service
  - Predictive analytics for employee engagement
2. AI in Learning and Development
  - Personalized learning paths using AI
  - Gamification and AI-driven training programs
  - Hands-on: Creating an AI-based personalized learning plan
Afternoon (4 hours)
1. AI in Performance Management
  - AI-driven performance evaluations and feedback tools
  - Analyzing performance data using machine learning
2. Employee Retention and Predictive Analytics
  - Identifying patterns in employee attrition
  - Predictive modeling for talent retention strategies
  - Hands-on: Using predictive analytics to assess employee retention risks

Day 4: AI in HR Operations and Analytics

Morning (4 hours)
1. AI for Workforce Planning
  - AI-driven data for forecasting staffing needs
  - Skills gap analysis and talent demand prediction
  - Hands-on: Using AI for workforce planning simulations
2. AI for HR Analytics and Reporting
  - Key performance indicators (KPIs) in HR analytics
  - Using AI to automate HR reporting and dashboards
  - Hands-on: Building a simple HR analytics dashboard
Afternoon (4 hours)
1. AI for Compensation and Benefits
  - AI for pay equity analysis and benchmarking
  - Analyzing benefits usage and personalization
2. Practical Session
  - Real-life use case discussions
  - Group activity: Apply AI tools to a specific HR challenge (e.g., improving retention or reducing time-to-hire)

Day 5: Ethics, Privacy, and Future Trends of AI in HR

Morning (4 hours)
1. Ethics and Privacy in AI
  - Understanding the ethical implications of AI in HR
  - Data privacy laws and regulations (GDPR, CCPA, etc.)
  - Ethical AI design principles
2. AI and HR Compliance
  - Regulatory challenges with AI (workplace discrimination, labor laws)
  - Ensuring AI tools are legally compliant
Afternoon (4 hours)
1. Future Trends in AI for HR
  - The evolving role of AI in HR
  - Upcoming technologies (e.g., AI for diversity and inclusion, employee well-being)
  - Preparing for AI adoption in HR: Strategy and roadmap
2. Final Project & Wrap-Up
  - Group project: Develop an AI integration plan for a specific HR process (recruitment, employee engagement, etc.)
  - Presentation of group projects
  - Feedback and certification