Course Format and Delivery

Delivery Method: Multi-day live, Virtual Instructor-Led (VILT) 
Schedule: 3 sessions of 4.5 hours
Cost: $1,495 USD

All sessions are delivered live by an expert instructor in a fully interactive online environment.

*20% off for group bookings when booking 3 or more attendees from the same organization on the same course dates in the same transaction.

About this course

The AI Adoption and Workforce Readiness Certificate equips learning and development (L&D) professionals with the frameworks and strategies needed to lead AI training across the organization while ensuring effective change management. From technical training to AI literacy workshops and basic user skills, this program prepares you to design, manage and deliver AI focused learning programs to drive real adoption.

Prepare your organization for the future by building a workforce ready for AI adoption
and enablement. Almost overnight, learning and development (L&D) teams have become responsible for equipping their organizations with AI training and enablement strategies for one of the fastest-moving technologies in history — generative AI.

Designed for anyone who works in  learning, training, talent development, or corporate education, this program will empower you to immediately provide your organization’s people with the AI literacy tools, targeted skills, and strategic  frameworks they need to adopt and integrate AI into their jobs.

What you will learn

During this course, you will learn how to:

• Equip your L&D teams with clear frameworks to assess current skills, define measurable learning outcomes and deliver targeted AI training that meets real business needs.
• Identify organizational AI training needs and align learning solutions to support adoption and enablement strategies.
• Map job roles, audiences, skills, and career pathways to create targeted AI training plans and development journeys.
• Design and deliver effective AI training programs using competency mapping and stakeholder collaboration.
• Engage stakeholders to support AI enablement and ensure cross-functional team alignment.
• Measure the effectiveness of AI learning initiatives by applying AI-specific KPIs, performance metrics and continuous improvement methods.
• Leverage AI tools to streamline content creation, boost learner engagement and accelerate AI skill adoption. 
  
  

This course is great for

• Chief Information Officer (CIO)
• Chief Technology Officer (CTO)
• Chief Learning Officer (CLO)
• Human Resources Director
• Talent Development Manager
• Organizational Development Specialist
• Corporate Training Manager
• Innovation Manager
• Transformation Leader
• Change Management Director
• Digital Strategy Manager
• IT Project Manager
• AI Implementation Specialist
• Head of Employee Experience
• Learning and Development Consultant
  
  

Topics Covered

DAY 1

Section 1: INTRODUCTION & AI FOUNDATIONS FOR L&D

• Course expectations, outcomes and success metrics
• Overview of hands-on AI training methods for L&D teams
• Understanding generative AI mechanics and model capabilities
• Key AI technologies relevant to L&D
  • Activity: Brainstorming AI Workflow Discovery
• Realities and myths of AI: strengths, weaknesses, and limitations
  
  

Section 2: THE L&D FOUNDATION

• Common AI adoption obstacles and how to overcome them
• Addressing employee concerns about AI integration and impact
  • Activity: AI Readiness Assessment

DAY 2

Section 3: ENTERPRISE AI STRATEGY

• The strategic role of L&D in AI transformation
  • Activity: Mapping the AI Training Stakeholder Ecosystem
• Enterprise-wide AI strategy and learning framework alignment

Section 4: AI FOR ROLES & DEPARTMENTS

• Exploring capturing compliance, policy, and risk considerations in AI integration
• Designing training programs based on role and departmental AI training needs
  • Activity: Department-Specific AI Use Cases

Section 5: BASELINING ORGANIZATIONAL CAPABILITY

• Building the business case for AI learning prioritization
• AI-related functions, needs and gap analysis
• Adapting the AI literacy framework to organizational strategy

Section 6: AI CAPABILITY AT THE INDIVIDUAL LEVEL

• Goals and methods for AI competency baselining
• Developing and administering effective AI skills assessments
• Apply AI learning journeys and use case mapping to any functional role or department Mapping baselines to career development pathways for various roles (i.e. Leaders, Project, product, and portfolio managers, Marketing & sales teams, Operations & back-office, IT, Security, Software, HR, etc.)

Section 7: Section 12: MEASURING AI TRAINING SUCCESS – KPIS & METRICS

• Setting organizational and individual AI training goals
• Managing AI-driven training metrics, objective and key results (OKRs) and return on investment (ROI)
  • Activity: AI Adoption Metrics

Section 8: DEVELOPING AI TRAINING PROGRAMS

• Training Program Lifecycle Overview
• Assessing learner group readiness for AI adoption training
• Structuring AI literacy programs across roles
• Evaluating capabilities to develop impactful AI training for employees
  • Activity: AI Enablement Program Planning

Section 9: COACHING LEADERSHIP & MANAGING AI-DRIVEN CHANGE

• Strategies for leading AI transformation and overcoming resistance
• Change management for AI training programs and initiatives
• Best practices for AI strategy discussions with senior leadership
• Designing learner engagement and AI adoption strategies
• Developing learner sentiment analysis surveys
  • Activity: AI Change Management Scenario Planning

Section 10: AI COMPLIANCE TRAINING & REGULATORY CONSIDERATIONS

• Navigating AI regulations and compliance frameworks
• AI policies impact on workforce and corporate training programs
• Governance best practices for enterprise AI learning strategies
• Case studies in regulated industries
  • Activity: AI Ethics & Governance Policy Socialization

Section 11: AI-DRIVEN TRAINING IN THE FLOW OF WORK

• Implementation of AI-powered job aids and microlearning tools
• Designing just-in-time AI-driven learning interventions for employees
  • Activity: Multi-Tiered AI Training Curriculum Design

Section 11: STAKEHOLDER ENABLEMENT & ENGAGEMENT STRATEGIES

• Stakeholder priority matrix
• Conducting stakeholder surveys to uncover resistance and build psychological safety
• Using AI to create effective communication plans
  • Activity: Cross-Functional AI Community Building

Section 12: COURSE CONCLUSION & ACTION DISCUSSION

• Key takeaways and reflections
• Action planning to accelerate AI adoption and workforce readiness
• Next steps for driving enterprise-wide AI enablement