G.03/25 Solent Circuit, Norwest, NSW, 2153
[email protected]

Applying AI in RTO Trainingand Assessment Master Class

DURATION:          14 hours (two days)

COST:                    Online $950 |  Face to Face $1200

CPD Points :        25

LEVEL:                 Integrated-Advanced                        

DOMAIN (S):       Digital Skills and Technology

FACILITATOR:    Javier Amaro

 

About This Workshop

Build practical AI capability to improve quality, efficiency and compliance across your RTO.

View Agenda

Generative AI is no longer a future issue for RTOs. It is already influencing how training is designed, resources are developed, learners are supported, and quality systems operate. The challenge is no longer whether AI will be used, but how to apply it safely, effectively and strategically within an RTO context.

What will you learn

This two-day master class will show you how to use generative AI as a practical enabler of better training, stronger assessment support, smarter resource development, and more efficient operational workflows. Rather than treating AI as a novelty or a content shortcut, the program positions it as an intelligent partner that can help RTO professionals improve performance, accelerate routine tasks, and create more responsive learning and compliance systems.

You will examine where AI can add value across learning design, assessment support, learner services, reporting, and quality assurance. 

The session will unpack the difference between traditional automation and generative AI, explore prompting techniques that improve output quality, and demonstrate how AI can support content creation, curation, adaptation, and workflow optimisation. This includes practical use cases relevant to RTOs and corporate training teams operating under increasing quality, efficiency, and governance pressures.

Importantly, the workshop also addresses the controls that matter. You will learn how to review AI outputs critically, maintain human oversight, identify hallucinations, bias and poor-quality content, and strengthen governance settings so the use of AI aligns with learners, industry and ASQA’s expectations. The focus is not on replacing professional judgement, but on amplifying capability while preserving integrity, compliance, and educational value.

Why you need to attend this workshop

Generative AI is already entering RTO practice, but in many organisations its use is still inconsistent, poorly controlled, and difficult to defend. Trainers and assessors are hearing bold claims, yet many still lack practical guidance on what is useful, safe, and appropriate in training and assessment. Meanwhile, resource development, assessment support, reporting, and quality processes are taking too much time while expectations keep rising.

This master class shows you where generative AI can add real value across training, assessment support, learner services, and operations. You will learn how to use it with stronger judgement, clearer boundaries, and immediate practical application. With AI capability moving faster than most RTO systems and staff readiness, delaying action increases the risk of fragmented use, inconsistent quality, and weak governance. This session gives you a practical way to get ahead.

Upcoming dates

16 - 19 June 2026

Location : Online

Time : 1:00 pm to 4:30 pm

Register

30 - 31 July 2026

Location : Sydney

Time : 9:00 pm to 4:30 pm

Mode: Hybrid

ONLINE
OR
FACE TO FACE

Objective

Learning

By the end of the Workshops, participants will be able to:

  • Differentiate traditional AI, machine learning, deep learning, and generative AI, and explain at least three implications for RTO training, assessment, learner support, or quality assurance.
  • Identify and evaluate at least four RTO processes where generative AI can safely augment human work, and justify the governance controls needed for each use case.
  • Analyse AI-generated learning or assessment content against the Principles of Assessment and Rules of Evidence, and document at least three risks and three corrective actions before implementation.
  • Develop and test fit-for-purpose prompts that generate usable first drafts of learning activities, communications, policy content, or resource updates for immediate workplace application.

Application

Following the master class, participants will:

  • Within four weeks of the webinar, document at least two AI‑enabled workflows (for example, TAS drafting, assessment tool updates or marketing copy) in their RTO QMS, including clear human review points.
  • Within 6 weeks, trial generative AI on a real training, assessment, compliance, or administration task and record baseline versus post-implementation time, quality, and rework data.
  • Within 6 weeks, brief their manager or team on AI opportunities, limitations, and governance requirements using a one-page summary tailored to their RTO context.
  • Within 8 weeks, update or propose one policy, procedure, work instruction, or operational guideline that clarifies acceptable AI use, review responsibilities, and evidence retention expectations.

Impact

At the RTO / business level, the program aims to:

  • Within 6 months, reduce average development time for selected training or assessment resources by at least 20% while maintaining internal QA or validation acceptance rates.
  • Within 6 months, reduce rework caused by poor first-draft resource quality or compliance issues in selected AI-supported processes by at least 15%.
  • Within 6 months, improve staff confidence in approved AI workflows by at least 25%, as measured through internal pulse surveys, feedback tools, or capability reviews.
  • Within 12 months, demonstrate measurable reinvestment of AI-enabled time savings into learner support, validation, continuous improvement, resource quality, or innovation initiatives.

Who Should Attend?

  • CEOs and RTO managers
  • Training managers and heads of learning
  • Compliance and quality managers
  • Trainers and assessors
  • Instructional designers and resource developers
  • Student support, administration, and operations staff
  • VET consultants supporting RTO systems, resources, or compliance
  • Corporate training and L&D professionals working in regulated or quality-driven settings 

What is included

Your registration includes a facilitated master class delivered either face-to-face over two full days from 9:00 am to 4:30 pm, or online over four consecutive days from 1:00 pm to 4:30 pm. 

Across the program, you will work through guided activities, practical RTO examples, AI prompt frameworks, workflow ideas, implementation tools, ready-to-use templates, and a practical prompt library to support immediate application in your workplace.

Participants also receive a Certificate of Participation and 25 CPD points. 

The program is designed not only to build knowledge, but to strengthen practical capability, improve workplace application, and generate measurable organisational impact.

SPEAKER

Javier
Amaro
CEO - Insources Group

Javier is the director and founder of Insources, a privately owned Australian training and consulting organisation. He has more than 18 years experience in the vocational and technical education world and has contributed to the Australian VET sector by designing and delivering more than 500 training programs to training managers, supervisors, facilitators, trainers and assessors

Agenda

9:00 - 10:30
Module 1: GenAI in VET — From Hype to Operating Model
Set a shared baseline: traditional AI vs machine learning vs generative AI (in plain language for RTO stakeholders). Calibrate expectations on how GenAI actually behaves (probabilistic output, hallucinations, limitations), and where it creates real value across RTO systems (learning design, assessment, learner support, compliance evidence).
Tangible Outputs
Common language pack (AI/ML/GenAI definitions + "safe use" principles). Initial use-case longlist across training, assessment, compliance, operations.
10:30 - 10:45
Break
10:45 - 12:30
Module 2: Human-in-the-Loop Use Cases — What to Augment (Not Replace)
Translate GenAI capability into RTO-ready opportunities: identify at least three current processes where AI can augment work under governance constraints (e.g., TAS drafting support, learning activity prototyping, assessment item ideation, validation evidence packaging, learner communications). Introduce a "human + machine" way of working to keep expertise and judgement at the centre.
Tangible Outputs
RTO AI Opportunity Register (v1): top 3 priority processes, value hypothesis, risks, and minimum guardrails.
12:30 - 1:15
Lunch
1:15 - 3:00
Module 3: Governance, Privacy, Ethics, and QMS Alignment
Build the guardrails: privacy/security considerations, bias and fairness risk controls, and governance routines that keep outputs audit-ready. Draft an AI policy starter and "review + approval" workflow that can slot into an RTO's QMS (with explicit human review points).
Tangible Outputs
AI governance mini-pack: policy starter clauses + a lightweight approval workflow + a fairness/bias review checklist.
3:00 - 3:15
Break
3:15 - 4:30
Module 4: Prompt Design That Produces Usable Drafts
Go from freeform prompting to more structured prompting, anchored in learning/scientific best practice: define role, audience, task rules, and quality criteria. Apply a practical input-output framework (clean inputs, pick the right tool/model, validate results). Participants write and test prompts for: a learning activity, a policy/QMS section, and an RTO communication.
Tangible Outputs
RTO Prompt Pack (v1): 3-5 reusable prompts with clear purpose, constraints, and quality checks.
9:00 - 10:30
Module 5: AI-Powered Training Resource Development
Apply GenAI to accelerate resource development while protecting quality: drafting and adapting learning content, contextualising examples, improving learner readability, and maintaining version control. (This is positioned as "first draft acceleration", not an autopilot.)
Tangible Outputs
Resource rapid prototype: one reworked learning activity OR learner guide section with documented human review steps.
10:30 - 10:45
Break
10:45 - 12:30
Module 6: Assessment in an AI Era — Validity, Sufficiency, and Evidence Strength
Stress-test AI outputs against RTO assessment expectations: analyse an AI-generated training/assessment sample against the Principles of Assessment and Rules of Evidence; identify strengths/risks and define remediation steps before any implementation. (This directly hits the masterclass learning objective.)
Tangible Outputs
Assessment Quality Control (QC) checklist + AI output review rubric (what to fix, what to reject, what to validate).
12:30 - 1:15
Lunch
1:15 - 3:00
Module 7: Prompt Libraries + Prompt Workflows — Turning Effort into Scalable IP
Operationalise what works: build a prompt mini-library (minimum six prompts) with tagging and "why it works" notes, then chain prompts into repeatable workflows (e.g., source → outline → learning activities → assessment items → validation artefacts). Introduce workflow documentation and continuous improvement (review cadence, versioning, performance tracking).
Tangible Outputs
Prompt Library (v1) + 2 workflow blueprints (end-to-end steps, inputs/outputs, review gates, and storage location).
3:00 - 3:15
Break
3:15 - 4:30
Module 8: Assistants, Agents, Conversational AI + Rollout Roadmap
Look over the horizon without floating off into sci‑fi: when to use assistants/agents, and where conversational AI (e.g., learner support/FAQ) makes sense with boundaries. Then build an implementation roadmap: pilot scope, governance sign-offs, evidence capture, staff enablement, and impact measures (time saved, quality uplift, reduced rework). Close with a 30-60-90 day action plan aligned to RTO operating rhythms.
Tangible Outputs
AI Implementation Roadmap (30-60-90 days) + Leadership-ready one-page brief (opportunities, risks, guardrails, next steps).

Feedback from previous Workshops
participants

The session was incredibly informative and engaging! The content and activities were well-structured, easy to follow and directly applicable to RTOs.

Miss Connor Boehme
CEO - Dynamic Learning Services

This was a very well organized and well-presented learning session. Javier was great, showed great patience and answered all questions timely and clearly.

Janet McCracken
-Airsafe Transport Training

I really appreciated the resource documentation and how the presenter went through each of those documents and how to utilise them

Zoe Solomon
-International Institute of Technology (IIT)

I found the webinar extremely helpful. Javier did an amazing job answering questions and explaining each step.

Deborah Brodtman
-Comtech Training

Thank you for the very informative session. I look forward to registering for sessions like this in the near future.

Neil Williams
- Downer Group