AI+ Human Resources™

AP-230

Building Tomorrow's Workforce Today with AI-Driven Solutions
  • AI in Workforce: Learn to integrate AI for smarter recruitment and performance systems
  • Data-Driven HR: Gain insights into talent acquisition and evaluation using ML
  • Ethical Application: Understand responsible AI practices in people management
  • Future-Ready Skills: Prepare to handle evolving HR dynamics with efficiency and equity

Why This Certification Matters

AI in Workforce: Learn to integrate AI for smarter recruitment and performance systems
Data-Driven HR: Gain insights into talent acquisition and evaluation using ML
Ethical Application: Understand responsible AI practices in people management
Future-Ready Skills: Prepare to handle evolving HR dynamics with efficiency and equity

At a Glance: Course + Exam Overview

Program Name 
AI+ Human Resources™
Included 
Instructor-led OR Self-paced course + Official exam + Digital badge
Duration 
  • Instructor-Led: 1 day (live or virtual) 
  • Self-Paced: 8 hours of content
Prerequisites
Understanding of human resource, Familiarity with data analysis, fundamental AI/ML concepts
Exam Format
50 questions, 70% passing, 90 minutes, online proctored exam
Delivery
Online labs, projects, case studies
Outcome
Industry-recognized credential + hands-on experience

Job Roles & Industry Outlook

Industry Growth: AI+ Human Resources™

  • AI-Driven Recruitment Strategies: Learn to leverage AI for data-driven recruitment, improving talent acquisition processes and decision-making.
  • AI-Enhanced Performance Management: Gain skills in using AI and machine learning to evaluate and optimize employee performance effectively.
  • Ethical AI in HR: Understand and implement ethical guidelines for AI usage in HR, ensuring fairness and transparency in decisions.
  • Competitive Edge in HR: Stand out in the HR field by mastering AI integration, positioning yourself as a leader in the AI-driven HR era.
AI+ Human Resources™
Who Should Enroll

Who Should Enroll?

  • HR Professionals: Enhance your HR processes by integrating AI tools that improve recruitment, employee engagement, and workforce management.
  • Talent Acquisition Specialists: Leverage AI to find, assess, and engage candidates more effectively, ensuring the best talent for your organization.
  • People Analytics Experts: Apply AI-driven analytics to enhance decision-making in HR, from performance reviews to predictive workforce trends.
  • Business Leaders: Learn to implement AI strategies that streamline HR operations and align talent management with business objectives.
  • Students & New Graduates: Build a competitive resume by mastering AI-driven HR solutions and preparing for a future in HR tech.

What You'll Learn

  1. 1.1 Introduction to AI Technologies
  2. 1.2 AI’s Role in HR Evolution
  3. 1.3 AI Applications in HR
  4. 1.4 Preparing HR for AI Integration
  1. 2.1 Revolutionizing Recruitment with AI
  2. 2.2 Enhancing Onboarding with AI
  3. 2.3 Implementing AI in Recruitment and Onboarding
  1. 3.1 Personalizing Employee Development with AI
  2. 3.2 AI for Employee Engagement and Sentiment Analysis
  3. 3.3 Implementing AI Solutions for Employee Experience
  1. 4.1 Introduction to Workforce Analytics
  2. 4.2 Predictive Analytics for HR
  3. 4.3 AI in Talent Management and Succession Planning
  4. 4.4 Ethical Considerations in Workforce Analytics
  1. 5.1 Understanding Ethical AI in HR
  2. 5.2 Identifying and Mitigating Bias in AI Tools
  3. 5.3 Implementing Ethical AI Practices in HR
  4. 5.4 Building an Ethical AI Culture
  1. 6.1 Legal Landscape for AI in HR
  2. 6.2 Compliance Strategies for AI in HR
  3. 6.3 Navigating Regulatory Changes
  4. 6.4 Ethical and Legal Alignment
  1. 7.1 Future Trends in AI and HR
  2. 7.2 Building Organizational Readiness for AI
  3. 7.3 Strategic Planning for AI Adoption
  4. 7.4 Ethical and Future Considerations
  1. 8.1 Project Planning and Design
  2. 8.2 Implementation Strategy
  3. 8.3 Monitoring, Evaluation, and Scaling
  4. 8.4 Ethical and Legal Considerations
  1. 1. Understanding AI Agents
  2. 2. Case Studies
  3. 3. Hands-On Practice with AI Agents

Tools You'll Explore

TensorFlow

TensorFlow

Scikit-learn

Scikit-learn

AI Fairness 360

AI Fairness 360

Zotero

Zotero

Prerequisites

  • Understanding of human resource, Familiarity with data analysis, fundamental AI/ML concepts

Exam Details

Duration

90 minutes

Passing Score

70% (35/50)

Format

50 multiple-choice/multiple-response questions

Delivery Method

Online via AI proctored exam platform (flexible scheduling)

Exam Blueprint

  • Module 1: Foundations of Artificial Intelligence (AI) in HR - 11%
  • Module 2: AI-Enhanced Recruitment and Onboarding - 11%
  • Module 3: Enhancing Employee Experience and Engagement - 11%
  • Module 4: Workforce Analytics and Talent Management - 11%
  • Module 5: Ethical AI and Bias Mitigation - 11%
  • Module 6: Legal Considerations in AI for HR - 11%
  • Module 7: Preparing for the Future of AI in HR - 11%
  • Module 8: Implementing AI in HR: A Practical Workshop - 11%
  • Optional Module: AI Agents for Human Resources - 12%

Choose the Format That Fits Your Schedule

What's Included (One-Year Subscription + All Updates):

Video
Audio
Podcast
E-book
  • High-Quality Videos, E-book (PDF & Audio), and Podcasts
  • AI Mentor for Personalized Guidance
  • Quizzes, Assessments, and Course Resources
  • Online Proctored Exam with One Free Retake
  • Comprehensive Exam Study Guide
  • Access for Tablet & Phone

Frequently Asked Questions

The course includes a mix of theoretical knowledge and practical applications, culminating in an interactive capstone project. This structure ensures that participants gain both conceptual understanding and hands-on experience.

This course is ideal for developers, IT professionals, and anyone with a foundational understanding of AI and cloud computing who wants to enhance their skills in integrating AI with cloud platforms like AWS, Azure, or Google Cloud.

Participants will learn to develop, deploy, and manage AI models on leading cloud platforms. Skills include optimizing AI model performance, ensuring security, meeting compliance standards, and applying AI and cloud concepts to solve real-world problems.

This certification enhances your professional profile by demonstrating proficiency in integrating AI with cloud computing. It equips you with in-demand skills, giving you a competitive edge in the job market and opening doors to lucrative career opportunities.

The certification includes an interactive capstone project where participants apply their knowledge to design and implement AI solutions within cloud environments. This project is designed to simulate real-world scenarios and challenges.