AI Fundamentals for RTO Owners and Managers
Enable education leaders to understand AI technologies, identify appropriate organisational applications and make informed decisions about adoption, compliance and investment.
View planned course →Upcoming courses.
Explore 105 planned courses across the CAQA AI Academy, Australian Education Law and Regulatory Leadership series. These courses are being prepared for LMS delivery; enrolment and release dates are not yet open.
Browse 222 current courses → Download current and upcoming catalogueFind an upcoming course.
AI Academy Levels 1–5 follow its internal professional development pathway. Education Law courses are introductory provider essentials; Regulatory Leadership courses focus on leadership practice.
105 upcoming courses
ChatGPT and Generative AI for Trainers and Assessors
Teach VET practitioners to use generative AI for training design, learning support and assessment preparation without compromising compliance or assessment integrity.
View planned course →AI Governance Fundamentals
Introduce the principles, regulatory frameworks and organisational responsibilities associated with responsible AI governance.
View planned course →Developing AI Policies for RTOs
Enable participants to develop, implement and maintain organisational AI policies appropriate to vocational education and training.
View planned course →AI Risk Management Using NIST and ISO Frameworks
Equip participants to systematically identify, analyse, evaluate, treat and monitor AI-related risks.
View planned course →ISO/IEC 42001 Awareness and Implementation
Prepare participants to establish and implement an Artificial Intelligence Management System (AIMS).
View planned course →AI-Assisted Training and Assessment Resource Development
Teach participants to develop and quality-assure training and assessment resources using AI-supported workflows.
View planned course →AI for RTO Compliance and Internal Auditing
Demonstrate how AI can support evidence analysis, internal audits, risk identification and continuous improvement without replacing professional audit judgement.
View planned course →AI Ethics, Privacy and Responsible AI
Develop the capability to identify ethical, privacy and human rights concerns associated with AI systems.
View planned course →Advanced Prompt Engineering and AI Productivity
Build advanced, reliable prompting skills and turn them into reusable, tested AI workflows that improve real business processes while protecting quality and sensitive information.
View planned course →AI Agents and Business Process Automation
Enable managers, IT and process improvement staff to identify suitable processes, design controlled AI agents and automations, and test, secure and govern them before and after go-live.
View planned course →AI Governance Practitioner Masterclass
Prepare participants to design and implement an organisational AI governance program and conduct structured AI governance assessments.
View planned course →Introduction to AI Governance
Give staff and managers a practical foundation in AI governance: the language, the core principles, the main Australian and international frameworks, and how to recognise risk in everyday workplace AI.
View planned course →Advanced AI Governance and Regulatory Compliance
Equip practitioners to work out which AI laws and rules apply to an organisation's AI systems, translate them into registers, matrices, controls and evidence, and plan compliance across borders.
View planned course →Understanding the EU AI Act
Give practitioners a clear, accurate working understanding of the EU AI Act: its structure, actors and reach, its risk categories and obligations, its timeline after the 2026 Digital Omnibus, and how to plan compliance.
View planned course →Australian AI Laws, Policies and Regulatory Requirements
Explain how Australian law, policy and regulators apply to AI, so participants can map their obligations, implement policy and document compliance for their own organisation.
View planned course →OECD AI Principles and Global AI Governance
Build a working understanding of the OECD AI Principles and the wider system of global AI governance, so that practitioners can compare national approaches and turn shared principles into practical governance controls.
View planned course →UNESCO AI Ethics and Human Rights
Equip practitioners to apply UNESCO's ethical values and principles and international human rights standards to real AI systems, and to complete a structured ethical impact assessment that protects dignity, autonomy, fairness and the interests of vulnerable people.
View planned course →AI Governance for Boards and Executives
Equip boards and executives to oversee AI with confidence: setting accountability and risk appetite, making disciplined investment decisions, demanding useful assurance and escalation, and building the committees, delegations and culture that make AI governance work.
View planned course →Developing an Organisational AI Governance Framework
Equip participants to design, document and implement a proportionate AI governance framework that fits their organisation's existing governance, from maturity diagnosis through to audit and continual improvement.
View planned course →Introduction to AI Risk Management
Introduce the core concepts and practices of AI risk management so participants can identify AI risks, rate them against organisational criteria and appetite, assign ownership and controls, and create an initial AI risk register.
View planned course →NIST AI Risk Management Framework
Enable participants to understand the structure of the NIST AI Risk Management Framework and apply its four functions, trustworthy AI characteristics and Playbook to assess and improve the management of AI risk in a real organisational setting.
View planned course →ISO/IEC 42001 AI Management Systems Awareness
Build a clear, practical understanding of what an ISO/IEC 42001 AI management system is, how its parts fit together and what it expects of leaders and staff, so that participants can recognise gaps and contribute confidently to implementation, audit or certification.
View planned course →ISO/IEC 42001 Implementation
Equip practitioners to plan and run a practical ISO/IEC 42001 implementation: scope the system, analyse stakeholders, assess gaps, build the policy, objectives, inventory and risk processes, put operational and supplier controls in place, control documentation, and set up internal audit and management review.
View planned course →ISO/IEC 42001 Internal Auditor
Develop the knowledge and skills to plan, conduct, report and follow up internal audits of an ISO/IEC 42001 AI management system, applying ISO 19011 audit principles, sound sampling and evidence practice, and clear, fair findings.
View planned course →ISO/IEC 42001 Lead Auditor Preparation
Prepare experienced auditors to lead certification-style audits of AI management systems: planning stage one and stage two, leading an audit team, assessing complex AI evidence, grading nonconformities and running closing meetings and reports that stand up to review.
View planned course →AI Risk and Impact Assessments
Enable practitioners to scope and document AI systems, identify affected stakeholders, assess privacy, safety, fairness, operational and human rights impacts, score inherent and residual risk, and report, approve and monitor AI impact assessments.
View planned course →Auditing AI Systems and Algorithms
Equip auditors to plan and perform audits of AI systems themselves: understanding architecture and data provenance, using model documentation, setting objectives and evidence requirements, testing accuracy, robustness, explainability, bias and drift, and reporting findings, limitations and assurance conclusions accurately.
View planned course →AI Bias, Fairness and Discrimination Auditing
Equip practitioners to identify where bias enters AI systems, test fairness with appropriate measures while understanding their limits, apply Australian discrimination and employment law considerations, and recommend practical remediation, monitoring and governance controls.
View planned course →AI Cybersecurity and Data Privacy
Equip practitioners to map AI attack surfaces and data flows, recognise AI-specific threats, apply privacy impact assessment and secure deployment practices, and build threat models, monitoring, incident response and vendor assurance for AI systems.
View planned course →AI Incident Management and Investigations
Equip practitioners to classify AI incidents, detect harmful outputs, data leakage and failures, coordinate response, preserve evidence, assess regulatory and contractual notification, find root causes and drive corrective action and post-incident review.
View planned course →AI Vendor and Third-Party Risk Management
Enable practitioners to manage AI suppliers across the whole procurement lifecycle: tier vendors by risk, run proportionate due diligence on models, data, security and privacy, negotiate AI-specific contract terms, manage service levels and subcontractors, monitor vendors over time and plan for exit and continuity.
View planned course →AI for Assessment Validation and Moderation
Enable assessment professionals to use AI responsibly to speed up mapping, coverage analysis, sampling and moderation preparation, while keeping validation judgements, findings and corrective actions with qualified people and meeting the 2025 Standards.
View planned course →AI in Training and Assessment Strategies
Enable RTO staff to use AI to interpret training products, analyse cohorts and draft delivery plans, volume and support arrangements for training and assessment strategies, and to review every AI-generated section rigorously for accuracy, contextualisation and compliance before approval.
View planned course →AI-Assisted LLND Assessment and Learner Support
Enable VET practitioners to use AI responsibly to analyse the language, literacy, numeracy and digital demands of training products, interpret pre-training review information, plan learner support and produce accessible, differentiated materials, while keeping qualified people responsible for every decision about a learner.
View planned course →AI for RPL Evidence Analysis
Enable RPL assessors and coordinators to use AI to index, organise and compare candidate evidence against training product requirements, identify gaps and authenticity or currency risks, and plan supplementary assessment, while the assessor makes and documents every competency decision.
View planned course →AI for RTO Compliance Monitoring
Enable RTO compliance and quality staff to build a living compliance obligations register with control owners, and to use AI and automation responsibly for document checks, reminders, change monitoring, exception management and dashboards, so governing persons see accurate, timely assurance.
View planned course →AI for Student Engagement and Retention
Enable education staff to use AI responsibly to notice disengagement early, communicate supportively, intervene in proportion to need and evaluate whether support actually helps learners stay and succeed.
View planned course →AI in Learning Management Systems
Enable learning technology staff to evaluate, specify, test and govern AI features in a learning management system so that they improve learning, remain accessible and interoperable, protect learner data and keep qualified people in control.
View planned course →Academic Integrity and AI-Generated Assessments
Enable education staff to set clear expectations for student AI use, redesign assessments so evidence is authentic, verify learning fairly and handle suspected misconduct through processes that respect student rights.
View planned course →AI for Education Leaders
Equip education leaders to set an AI strategy, govern and procure AI responsibly, build workforce capability, protect learning outcomes, wellbeing and equity, and fund and monitor implementation through a credible executive proposal.
View planned course →Generative AI Fundamentals
Give learners a clear, accurate understanding of how generative AI works, what it can do across text, image, audio and multimodal tasks, how to prompt and check it, and how to use it responsibly and confidentially at work.
View planned course →ChatGPT for Business Professionals
Enable business professionals to use ChatGPT's capabilities and workspace features effectively and safely for research, drafting, document analysis, meeting preparation, spreadsheet analysis, reporting and communication, and to turn good practice into reusable, verified workflows.
View planned course →AI for Business Productivity
Enable staff and team leaders to analyse administrative workflows, apply AI to emails, documents, presentations, reports, meetings, tasks and information retrieval, and prove the benefit with quality controls, approvals and honest return-on-investment measures.
View planned course →AI for Marketing and Content Creation
Enable marketers and content creators to use AI for audience research, positioning, copywriting, social media, creative assets, SEO, analytics and content planning, while meeting copyright, consumer law, privacy and authenticity obligations through clear approval workflows.
View planned course →AI for Human Resources and Recruitment
Enable HR and recruitment professionals to use AI across job design, screening, interviews and workforce planning while managing discrimination, privacy, vendor and oversight risks, and maintaining policies, appeals and audit records that keep people accountable for decisions about people.
View planned course →AI for Customer Service and CRM
Enable service teams to apply AI to customer support, keep CRM data fit for automation, design chatbots that know their limits and hand over to people well, and run quality assurance, privacy and measurement so service genuinely improves.
View planned course →AI for Financial Reporting and Analysis
Enable finance staff to use AI to prepare and validate data, analyse variances, support forecasts and scenarios, and identify anomalies, while protecting confidentiality, keeping financial controls intact and verifying every figure before it reaches a decision maker.
View planned course →AI for Project Management
Enable project managers to use AI across the project life cycle, from charter and scope to schedules, risks, status reports, change control and governance, while keeping estimates honest, judgement with people and every AI-assisted artefact verified.
View planned course →AI for Procurement and Tender Writing
Enable bid teams and procurement staff to use AI to analyse tender opportunities, extract requirements into compliance matrices, plan and draft responses grounded in verified evidence, and protect procurement integrity, confidentiality and fairness.
View planned course →AI for Data Analytics and Business Intelligence
Enable staff to use AI to frame analytical questions, prepare and check data, explore it with spreadsheets, SQL and Python, build honest visualisations, forecasts and dashboards, and validate and communicate insights that decision makers can trust.
View planned course →Building AI Assistants Without Coding
Enable non-developers to design, configure, test, deploy and maintain safe, useful AI assistants in no-code platforms, with well-designed instructions, curated knowledge, controlled integrations and human approval where it matters.
View planned course →AI Strategy and Digital Transformation
Enable executives to set an AI strategy that creates measurable value: identify high-value opportunities, build honest business cases, redesign processes on sound data and architecture, govern AI responsibly, transform the workforce and implement through disciplined pilots and scaling.
View planned course →Responsible AI in Public Administration
Equip public sector staff to use and govern AI in ways that keep administrative decisions lawful, fair, transparent and accountable, protect citizen rights and maintain public trust.
View planned course →AI Procurement for Government
Enable government buyers to define AI requirements, test vendors, protect procurement integrity and agency data, and contract for AI that remains safe, lawful and good value across its life.
View planned course →AI Accountability in Government
Equip government leaders and assurance professionals to design and test an accountability system for AI: clear responsibilities and decision rights, real transparency, reconstructable audit trails, effective complaints handling and readiness for independent review.
View planned course →AI Governance in Healthcare
Equip health organisations to govern clinical and administrative AI safely: classify tools, build governance into clinical governance, validate locally, protect patient privacy, assign accountability and monitor AI across its life.
View planned course →Clinical AI Risk Management
Equip health service staff to assess, control and monitor the clinical risks of AI tools across their life cycle, from validation before use to incident response and ongoing evaluation.
View planned course →Patient Privacy and AI
Enable health organisations to protect patient privacy when they use AI, from consent and data sharing to security, secondary use and breach management, and to complete a health AI privacy impact assessment.
View planned course →AI Risk in Financial Services
Equip financial services professionals to identify, assess and control the risks of AI across model risk, credit, customer outcomes, fraud and operational resilience, in line with Australian regulatory expectations.
View planned course →Algorithmic Decision-Making
Enable organisations to design, govern and review automated and algorithmic decisions about people so that they are lawful, explainable, fair, contestable, appropriately supervised and properly recorded.
View planned course →AI Fraud Detection
Enable practitioners to understand how AI detects fraud, set and tune detection so that genuine customers are not burdened, monitor models for drift, investigate alerts properly and govern AI fraud controls so they can be reviewed and defended.
View planned course →AI Recruitment Governance
Enable leaders to govern the use of AI across recruitment: know what systems are in use, assign accountability, meet discrimination and privacy obligations, be transparent with applicants, keep meaningful human oversight, hold vendors to account and set it all down in a policy that works.
View planned course →Bias in Automated Hiring
Equip specialists to find, measure and fix bias in automated hiring systems: examine training data and labels, trace selection effects through the hiring funnel, calculate and interpret fairness metrics with appropriate caution, test systems directly, and recommend remediation that holds up.
View planned course →Responsible HR Automation
Enable HR and business leaders to automate HR work responsibly: design HR chatbots that give accurate, safe answers; use employee analytics without harming trust; keep performance monitoring lawful and proportionate; protect confidential employee information; and consult the workforce genuinely before and during change.
View planned course →AI for Legal Research
Enable practitioners to use AI tools to speed up legal research while verifying every source, citing accurately, protecting confidential and privileged information, meeting professional and court obligations, and reviewing documents defensibly.
View planned course →AI Regulatory Compliance
Enable compliance professionals to use AI to map obligations, monitor regulatory change, maintain compliance registers, test controls and report, while keeping accuracy, accountability and evidence to the standard regulators expect.
View planned course →AI Evidence and Documentation
Enable professionals to establish the provenance, authenticity and integrity of evidence in an age of AI-generated content, to keep trustworthy metadata and audit trails, and to manage the risks of AI-generated and AI-analysed evidence.
View planned course →AI Threats and Cybersecurity
Enable security and risk professionals to understand the main threats to AI systems, including prompt injection, data poisoning and model extraction, and to assess and control them through access control, secure architecture and monitoring.
View planned course →Securing Generative AI
Enable practitioners to secure generative AI applications by design: placing controls outside the model, making retrieval respect permissions, limiting what AI tools can do, protecting sensitive data across prompts, outputs and logs, testing before release, and monitoring in production, then documenting it all in a controls plan that can be assured.
View planned course →AI Security Testing
Enable practitioners to plan, run and report AI security testing as a disciplined, authorised and repeatable activity: scoping with rules of engagement, deriving tests from threat models, designing scenarios, testing adversarial inputs safely, measuring results credibly, handling live findings as incidents and writing reports that drive remediation.
View planned course →AI for Small Business
Help small business owners and staff choose sensible first uses of AI, select affordable tools, use AI in customer service, administration and marketing without creating legal or reputational problems, set simple rules that protect customers and the business, and measure whether AI is worth the money, ending with a practical adoption plan.
View planned course →Automating Business Operations
Enable practitioners to automate business operations reliably: mapping and measuring processes, choosing what to automate, designing workflows with sound triggers and data, building approvals that respect authority and segregation of duties, handling exceptions and failures, integrating systems securely, and monitoring performance so automation keeps delivering value.
View planned course →Responsible AI Adoption for SMEs
Equip small and medium enterprises to adopt AI responsibly with governance that fits their size: assess readiness, classify AI uses by risk, set acceptable use rules, buy AI tools carefully, protect privacy and train staff.
View planned course →AI for Schools
Help schools implement generative AI safely and purposefully, in line with the Australian Framework for Generative AI in Schools: building AI literacy, supporting teachers, protecting assessment integrity, keeping students safe, communicating with families and governing AI use.
View planned course →AI for Universities
Equip university and higher education leaders and staff to govern AI across teaching, research, academic integrity, student support and privacy, in line with TEQSA expectations and the Higher Education Standards Framework, and to build an institutional AI governance and academic integrity framework.
View planned course →AI in ISO Management Systems
Enable management system professionals to apply AI safely and effectively to document control, risk analysis, internal audits, corrective action and monitoring, and to integrate AI use into an ISO-based management system without weakening control or conformity.
View planned course →AI-Assisted Auditing
Enable auditors to use AI tools to plan audits, review evidence, select and analyse samples, draft findings and reports, while maintaining professional scepticism, audit principles and the integrity of audit conclusions.
View planned course →AI for Continuous Improvement
Enable practitioners to use AI to analyse processes, find root causes, design performance indicators, use predictive insights responsibly, and run PDCA improvement cycles with corrective action that lasts.
View planned course →Opening the Door to ASQA: Site Visits and Monitoring Powers
Unannounced and short-notice visits, monitoring powers, and how to respond lawfully and professionally.
View planned course →Investigations and Enforcement: Offences, Penalties and Infringement Notices
How ASQA investigates, what NVR Act offences and civil penalties cost at today's penalty unit value, and how sanctions, infringement notices and enforceable undertakings work.
View planned course →Litigation Prevention and Legal Reserve Planning for RTO and CRICOS Providers
Prevent disputes, use review pathways well and fund your defence through a governed legal reserve.
View planned course →Fit and Proper: Governing Person Obligations for RTO and CRICOS Leaders
Who is assessed, what the regulators weigh, and what you must disclose and notify under the 2025 Standards and the ESOS Act.
View planned course →Decisions by Design: Automated Decision-Making in Regulation
How regulators use automation, data and AI, what the law requires, and how to govern your own automated decisions about students.
View planned course →PRISMS Compliance and ESOS Sanctions for CRICOS Providers
Reporting duties, PRISMS access, offences and the ESOS enforcement toolkit, current to November 2026.
View planned course →The Legislative Framework for VET and International Education Providers
How the Acts, legislative instruments and regulators fit together for RTOs and CRICOS providers, and what is changing.
View planned course →Automated Decisions and Your Privacy Policy: What RTOs Must Disclose
From 10 December 2026, your APP privacy policy must explain how computer programs make, or help make, significant decisions about people.
View planned course →Algorithms and Admissions: Privacy Act Transparency in Higher Education
What universities and independent higher education providers must disclose about automated decisions from 10 December 2026.
View planned course →How Australian Law Works for Education Providers
The Constitution, Acts, legislative instruments, interpretation, penalties and review: the legal toolkit every provider leader needs.
View planned course →The National Vocational Education and Training Regulator Act 2011 Explained
The law that creates ASQA and governs every NVR registered training organisation, explained Part by Part.
View planned course →ASQA's Legislative Instruments Explained
The Outcome Standards, the Compliance Standards and Fit and Proper Person Requirements, the Credential Policy, the Data Provision Requirements and the Financial Viability Risk Assessment Requirements.
View planned course →The Tertiary Education Quality and Standards Agency Act 2011 Explained
The law that decides who may offer higher education awards in Australia, how courses are accredited and how TEQSA regulates your institution.
View planned course →The Higher Education Standards Framework (Threshold Standards) 2021 Explained
The minimum requirements every registered higher education provider must meet, domain by domain, with the changes that start in 2027.
View planned course →The Education Services for Overseas Students Act 2000 Explained
The law that decides who may teach overseas students in Australia, what registered providers must do, and what happens when things go wrong.
View planned course →The National Code 2018 Explained
All eleven Standards that govern how registered providers recruit, enrol, support and manage overseas students.
View planned course →Student Loans and Identifiers: HESA, VET Student Loans and the Student Identifiers Act Explained
The three Commonwealth laws behind HELP loans, VET Student Loans and the Unique Student Identifier, explained for provider leaders.
View planned course →The Privacy Act 1988 for Education Providers
Coverage, the 13 Australian Privacy Principles, data breaches, the 2024 reforms and enforcement, explained for RTO, CRICOS and higher education leaders.
View planned course →Australian Consumer Law for Education Providers
Misleading conduct, unconscionable conduct, unfair contract terms, consumer guarantees and unsolicited selling, explained with education examples.
View planned course →Work Health and Safety Law for Education Providers
The model WHS Act explained Part by Part: duty holders, officers, students, incidents, consultation, enforcement and penalties.
View planned course →The Fair Work Act 2009 for Education Providers
The National Employment Standards, awards and agreements, casual work, protections, dismissal and enforcement, applied to trainers, assessors and academic staff.
View planned course →The Corporations Act 2001 and Directors' Duties for Provider Boards
Company structures, directors and officers, the statutory duties, conflicts, insolvent trading, safe harbour, reporting, indemnities and insurance.
View planned course →Migration Law and Student Visas for Education Providers
What CRICOS providers need to understand about the Migration Act, the Migration Regulations and the student visa.
View planned course →The Disability Discrimination Act 1992 and the Disability Standards for Education 2005
Disability, discrimination, reasonable adjustments and the five areas of the Education Standards, explained for provider leaders.
View planned course →Victoria's Education and Training Reform Act 2006 and the VRQA
Victoria as a non-referring state, VRQA registration, the standards it applies from 2027, and the line between state and national regulation.
View planned course →Western Australia's Vocational Education and Training Act 1996 and the TAC
Western Australia as a non-referring state, the TAC's powers under Part 7A, the Registration Standards 2025, offences, inspectors and appeals.
View planned course →No courses match these filters. Try another search or clear the filters.