CERTIFIED ARTIFICIAL INTELLIGENCE TRANSFORMATION SPECIALIST™ Phase 2

Categories AI

Course Prerequisite(s)

What I will learn?

  • Conduct comprehensive organizational AI readiness assessments to diagnose current maturity levels across technology, governance, people, and processes, and develop multi-year strategic advancement plans aligned with the five-phase AI progression model
  • Develop compelling business cases and ROI calculations using award-winning organization benchmarks
  • Lead organizational transformation through proven change management practices, comprehensive capability development programs, phased implementation methodologies, and continuous optimization processes
  • Design and implement AI governance structures with clearly defined roles, risk management protocols, and ethics frameworks that evolve from basic oversight to autonomous monitoring capabilities appropriate to organizational progression
  • Apply maturity-appropriate use case selection criteria to create prioritized AI roadmaps that balance quick wins with strategic investments across machine learning, generative AI, RAG systems, and agentic AI technologies

Course Curriculum

PHASE 2 CASE STUDY EXAMPLE AND TEMPLATE

  • PHASE 2 INSTRUCTIONS
    00:00
  • PHASE 2 FREQUENTLY ASKED QUESTIONS AND HELPFUL SUGGESTIONS
  • PHASE 2 CASE STUDY EXAMPLE and TEMPLATE
    00:00

ASSIGNMENT: PHASE 2 ASSIGNMENT

Free
Free access this course

BE SURE TO CHECK OUT THE RELATED RESOURCES FOR THIS COURSE

  • Industry Perspective: AI Progression Model for Empowering HR Excellence – A Five-Phase Framework for Advancing Human Resources Capabilities through AI Readiness and Integration
  • Playbook: The HR Leader’s Guide to AI Transformation – A Strategic Playbook for Building AI-First Human Resources Functions
  • Case Study: EPAM Systems, Inc.’s AI-Powered English Assessment for a Global Workforce
  • Case Study: Foxconn Achieves 98% Job Satisfaction Among Employees with Disabilities
  • Case Study: NTT DATA Saves 24 Workdays Annually Through CYPHER AI-Driven Learning
  • Case Study: TELUS Digital AI Training Cuts Attrition 4%, Saves $34,000 in Facilitator Costs

REQUIREMENTS

  • In Phase 2, you will analyze the Case Study of a fictitious company, TechMark Solutions, a mid-sized technology services company navigating AI transformation challenges. This case study reflects real-world complexities including executive pressure for rapid deployment, governance gaps, data quality issues, team concerns, and competing priorities.
  • In Phase 2, you will apply the frameworks, benchmarks, and best practices from all 10 course modules to develop a comprehensive AI strategy for TechMark Solutions. Your analysis will demonstrate your ability to balance competing pressures while creating realistic, actionable recommendations.
  • More detailed instructions are set forth in the "Instructions" for Phase 2.

More on This Learning Path

About Course

AI for HR is a comprehensive certification course designed to equip HR professionals with the strategic and tactical capabilities needed to successfully implement and optimize artificial intelligence across HR functions. Through ten integrated modules, you’ll learn to assess your organization’s AI maturity level, design governance frameworks that ensure ethical and compliant AI use, build compelling business cases with proven ROI benchmarks, and select appropriate use cases aligned with organizational readiness. Drawing on data from award-winning organizations and real-world implementation practices, this course provides practical frameworks for building AI capabilities, managing cultural transformation, implementing technology effectively, and leading continuous innovation that positions HR as a strategic driver of organizational success.

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