AI Enablement Delivery: Advanced — Train-the-Trainer

Trainers and enablement leads learn to design and deliver effective internal AI training. The course covers curriculum and delivery, hands-on facilitation, assessment, reinforcement, and measuring impact. Participants finish able to teach AI skills that actually stick.

What this course covers

The course runs across 10 topics, each one a short adaptive session rather than a recorded lecture. The tutor explains the idea, works an example, checks understanding, and adjusts the next step to the answer given.

Structuring an AI Enablement Curriculum — Learn to map AI capabilities to specific job roles and design a scaffolded learning path that moves from basic prompting to advanced workflows.
Addressing AI Anxiety and Building Trust — Practice handling common objections, fears of displacement, and skepticism from learners through active listening and constructive framing.
Facilitating Live Prompting Workshops — Master the art of 'live-fire' prompting demonstrations, including how to handle unexpected model outputs and turn errors into teaching moments.
Designing High-Impact Hands-On Exercises — Create practical, job-specific sandboxes and exercises that force learners to critique, refine, and validate AI-generated outputs.
Coaching Learners Through Complex AI Workflows — Simulate a coaching session helping a struggling learner debug a multi-step prompt sequence or retrieval-augmented generation (RAG) workflow.
Establishing AI Guardrails and Policy Compliance — Teach learners how to navigate data privacy, intellectual property, and ethical boundaries when using public and private AI models.
Designing Real-World AI Skill Assessments — Move beyond multiple-choice tests to design authentic performance-based assessments that verify actual AI competency.
Creating Post-Training Reinforcement Systems — Develop asynchronous learning nudges, prompt libraries, and peer-to-peer champion networks to sustain AI adoption over time.
Measuring and Reporting Training ROI — Identify and track key performance indicators (KPIs) like time saved, output quality improvements, and tool adoption rates to prove business impact.
Synthesizing the Enablement Strategy — Pitch your finalized AI training and adoption plan to a skeptical business stakeholder, defending your curriculum design and measurement strategy.

Skills you build

Results are measured against named skills in the OneRange taxonomy of more than 10,000 skills, so a manager sees proficiency per skill rather than a completion tick. This course maps to Critical Thinking, Data Analysis, Content Strategy, Generative AI Concepts, AI Ethics.

Critical Thinking
Data Analysis
Content Strategy
Generative AI Concepts
AI Ethics

Who it is for

Trainers, enablement leads. The material is pitched at advanced level, and takes roughly 150 minutes at a typical pace. Because every session adapts, someone who already knows a topic moves through it quickly instead of sitting through an explanation they do not need.

It sits in the Adoption & Leadership track of the Vero AI Catalog, and can be assigned to one person, a team, or the whole company.

How it is delivered and assessed

Delivery is conversational and interactive, including role play, branching scenario exercises. There is no video to sit through and no slide deck to click past.

Understanding is checked with a roleplay assessment of 5 items, with a pass mark of 70%.

Administrators can copy this course into their own library and adapt it — edit the outline, change the duration, swap the assessment format, or ground it in internal documentation so answers cite the company's own source material.

Also in this track

All AI Leadership training courses →
AI Center of Excellence: Advanced — Building & Running — A blueprint course for standing up an AI Center of Excellence: charter, structure, staffing, and how it interfaces with governance. Learners draft a CoE design for their own organization.
Scaling AI Adoption: Advanced — Pilot to Organization — The course for the hard step after a successful pilot: sequencing rollout, funding enablement, and building support structures. Learners produce a scale plan with economics attached.
AI Upskilling Programs: Advanced — Program Design — A program-design course for the people building AI training at scale: role-based curricula, assessment-driven placement, and measurement that proves impact. Learners design their organization's full upskilling architecture.
Measuring AI Adoption & ROI: Advanced — Leaders and enablement teams learn to measure adoption, productivity, and ROI of AI initiatives. The course covers adoption metrics, productivity baselines, ROI models, dashboards, and reporting. Participants finish able to prove and improve the value of AI investment.
Leading Teams Through AI Adoption — People managers and team leads learn to guide their team through adopting AI in daily work. The course covers setting vision and expectations, redesigning workflows, coaching, addressing fear, and building momentum. Participants finish able to turn AI from a curiosity into a habit on their team.
AI Adoption Leadership Assessment — Measures whether a leader can identify use cases, plan a pilot, set guardrails and judge results.
Teaching Your Team to Use AI Pathway — Grow from running one team session into delivering full AI enablement.
AI Enablement & Train-the-Trainer — Build and run internal AI training

Frequently asked questions

How long does this course take?

It runs roughly 150 minutes at a typical pace. Because every session adapts, someone who already knows a topic moves through it quickly instead of sitting through an explanation they do not need.

How is it assigned to a team?

An administrator assigns it from the Vero dashboard to one person, a team, a department or the whole company, and sees progress and results per person and per skill.

Can we customise it with our own documents and terminology?

Yes. Administrators can copy this course into their own library and adapt it — edit the outline, change the duration, swap the assessment format, or ground it in internal documentation so answers cite the company's own source material.

Course code ADO-TTT.