Course Objective & Scope
Assigning the same generic "Intro to AI" video to every employee neither drives role-specific productivity (upskilling) nor prepares displaced staff for new careers (reskilling). Effective capability building requires persona-based learning tracks, on-the-job applied projects and verified skill milestones.
This course adapts the 70-20-10 learning model to enterprise AI: separating in-role upskilling from cross-role reskilling bridge bootcamps. Participants design a 12-month tiered AI Academy curriculum, role-based learning journeys and a learning-impact measurement plan for their organisation.
Who Should Attend?
- Corporate academy directors and learning & development (L&D) managers
- Talent management, career mobility and internal talent marketplace leads
- AI transformation office and AI Center of Excellence enablement leads
- Instructional designers managing business and technical academies
Key Takeaways
- Design differentiated upskilling tracks for executives, business professionals, citizen builders and engineers
- Build structured reskilling bridge programmes that transition employees from shrinking roles into emerging hybrid roles
- Embed 70-20-10 practice—real workflow capstones, sandbox labs and peer coaching—beyond passive video courses
- Balance internal SMEs, AI Champions and external training partners in a scalable delivery model
- Evaluate learning impact at Kirkpatrick Levels 3 and 4 through post-training workflow adoption and output quality
Curriculum
Separating Upskilling from Reskilling: Strategic Targeting
- Upskilling (augmenting the current role) vs. Reskilling (transitioning into a new job family)
- Translating skill-gap heatmaps into priority cohorts and learning waves
- Balancing fast-changing tool tutorials with durable workflow and critical-thinking skills
Persona-Based Upskilling Learning Tracks
- Four core tracks: Executive Decision-Makers, Functional Professionals, Citizen Builders, AI/Data Engineers
- Combining modular micro-learning, live sandbox labs and department-specific cases
- Internal badging, practical skill verification and evergreen content refresh cycles
Reskilling Bridge Bootcamps for Transitioning Roles
- Sample pathways: Contact Centre Rep -> AI Knowledge Curator / Output Auditor; Reporting Analyst -> Workflow & Agent Designer
- Candidate selection, learning-agility screening and protected study-time policies
- Mentoring, job shadowing, capstone evaluation and supported placement into the new role
The 70-20-10 Delivery Model and Scalable Academy Operations
- 10% structured coursework, 20% AI Champion coaching, 70% real-workflow capstone projects
- Scaling through Train-the-Trainer programmes and internal case repositories
- Budgeting, LMS/LXP integration and managing external training partners
Measuring Learning Impact and 12-Month Roadmap Workshop
- Moving past completion rates: tracking tool stickiness and cycle-time gains 30/60 days post-training (Kirkpatrick L3–L4)
- Mapping detailed learning journeys for three priority personas in the organisation
- Finalising the 12-month Reskilling & Upskilling rollout calendar and resource plan
Other Courses in This Category
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For department managers and team leads: designing work allocation, orchestration, daily management rituals and trust calibration in hybrid teams where people work alongside autonomous AI agents.
- Live Course
- 5 modules
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For professionals and team leads: writing unambiguous task briefs for AI agents, setting human-in-the-loop approval gates, defining escalation triggers and systematically auditing agent outputs.
- Live Course
- 5 modules
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For HR leaders, line managers and compliance teams: redesigning OKRs/KPIs, fair performance appraisal, incentives and human accountability chains when work is co-produced with AI and agents.
- Live Course
- 5 modules
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For knowledge workers, specialists and leaders: preventing cognitive offloading, automation complacency and skill atrophy while sharpening critical thinking and human judgment alongside AI.
- Live Course
- 5 modules
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Transforms pioneering business-unit employees into AI Champions who drive grassroots adoption, discover micro-use cases, build safe prompt/workflow templates and coach peers across their teams.
- Live Course
- 5 modules
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Ensures Microsoft 365 Copilot, Google Workspace Gemini, ChatGPT Enterprise or internal RAG assistants translate from idle licences into daily habits through persona-based playbooks, rollout waves and adoption governance.
- Live Course
- 5 modules
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