- Teacher: Lizelle Smith
Sheridan Institute of Higher Education
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This 1-credit micro-credential is the second part of the Sheridan 3-credit postgraduate IS601 AI in Business unit. It advances learners from foundational AI literacy to applied analytical capability. Participants engage with AI-enabled tools and decision-support systems to analyse business datasets, interpret model outputs and generate evidence-based managerial insights. The focus is on practical, technology-informed decision-making rather than technical programming, enabling professionals from diverse backgrounds to apply AI responsibly within organisational contexts.
Learners critically examine data quality, bias, model limitations and governance risks, developing the capacity to exercise informed judgement when integrating AI into operational and strategic decisions. Weekly hands-on labs use free, plain-English AI tools to profile data, interpret predictions and build simple decision aids without writing any code. By the conclusion of the microcredential, participants should be able to design data-driven solutions, communicate technical findings clearly to non-specialist stakeholders, and evaluate the reliability and organisational impact of AI-supported recommendations.
Accessibility note. This microcredential is designed for working professionals from any disciplinary background. No prior technical, data-science or programming experience is required. All hands-on activities use free, browser-based AI tools operated through plain-English instructions, and at no point is a participant asked to write or read computer code.
Students who successfully complete this unit may enrol in the micro-credential IS601-M3 AI Strategy, Governance and Business Transformation (1-credit).
- Teacher: Henry Lim
This is a test course for testing Moodle functionality.
- Teacher: Derek Hinchliffe
- Teacher: Darren Smith
This 1-credit micro-credential is the third and final part of the Sheridan 3-credit postgraduate IS601 AI in Business unit. This advanced microcredential equips participants to integrate AI capabilities into enterprise-level strategy and organisational transformation initiatives. Learners synthesise technological, competitive and operational considerations to evaluate how AI can generate sustained advantage, reshape business models and enable innovation. Strategic frameworks are applied to assess investment decisions, capability maturity and transformation sequencing in complex business environments.
A strong emphasis is placed on governance, risk oversight and executive accountability. Participants design AI governance structures aligned with recognised risk management principles and develop defensible strategic roadmaps that balance innovation with regulatory, ethical and reputational considerations. Weekly hands-on labs use free, no-code AI tools to configure assistants, trial agentic workflows and rehearse governance controls. The microcredential prepares graduates to advise senior leaders and boards on responsible AI investment and long-term organisational transformation.
Accessibility note. This microcredential is designed for working professionals from any disciplinary background. No prior technical, data-science or programming experience is required. All hands-on activities use free, browser-based AI tools operated through plain-English instructions, and at no point is a participant asked to write or read computer code.
- Teacher: Henry Lim
This 1-credit micro-credential is the first part of the Sheridan 3-credit postgraduate IS601 Artificial Intelligence in Business unit. It provides a rigorous introduction to artificial intelligence (AI) within contemporary business environments. Participants develop advanced conceptual understanding of core AI technologies, including machine learning, generative AI, automation systems and data infrastructures, and examine how these capabilities create strategic value across organisational functions. Emphasis is placed on building technically informed business literacy so that graduates can engage confidently with AI specialists, vendors and executive stakeholders.
Learners critically evaluate real-world AI applications and assess ethical, legal and governance considerations relevant to Australian and global contexts. Through structured case analysis, applied strategy development and weekly hands-on practice with free AI tools, participants build the professional judgement required to recommend responsible and strategically aligned AI adoption. The microcredential establishes a strong conceptual and ethical foundation for subsequent applied and strategic AI study.
Accessibility note. This microcredential is designed for working professionals from any disciplinary background. No prior technical, data-science or programming experience is required. All hands-on activities use free, browser-based AI tools operated through plain-English instructions, and at no point is a participant asked to write or read computer code.
Students who successfully complete this unit may enrol in the micro-credential IS601-M2 Data-driven Decision-making with AI Tools (1-credit).
This 1-credit micro-credential is the first part of the Sheridan 3-credit postgraduate IS601 Artificial Intelligence in Business unit. It provides a rigorous introduction to artificial intelligence (AI) within contemporary business environments. Participants develop advanced conceptual understanding of core AI technologies, including machine learning, generative AI, automation systems and data infrastructures, and examine how these capabilities create strategic value across organisational functions. Emphasis is placed on building technically informed business literacy so that graduates can engage confidently with AI specialists, vendors and executive stakeholders.
Learners critically evaluate real-world AI applications and assess ethical, legal and governance considerations relevant to Australian and global contexts. Through structured case analysis, applied strategy development and weekly hands-on practice with free AI tools, participants build the professional judgement required to recommend responsible and strategically aligned AI adoption. The microcredential establishes a strong conceptual and ethical foundation for subsequent applied and strategic AI study.
Accessibility note. This microcredential is designed for working professionals from any disciplinary background. No prior technical, data-science or programming experience is required. All hands-on activities use free, browser-based AI tools operated through plain-English instructions, and at no point is a participant asked to write or read computer code.
Students who successfully complete this unit may enrol in the micro-credential IS601-M2 Data-driven Decision-making with AI Tools (1-credit).
- Teacher: Henry Lim
“Principles of Marketing” is an introductory unit that will cover the main concepts and theories that underlie marketing thinking and practice. It will require students to not only understand these concepts but also learn
how to apply them in modern organisations, both private and public.
The unit provides the theory base of marketing, introducing students to the marketing concept, the exchange process, the marketing environment, creating and capturing customer value, buying behaviour in consumer and
organisational market, customer segmentation, targeting and positioning, developing the marketing mix, implementation and control of marketing programmes, extending the fundamentals of marketing to global
marketing applications and finally examining the concepts of sustainable marketing – now and in the future – through socially responsible marketing actions.
- Teacher: Henry Lim
This unit is designed to equip you to become an active researcher in your own classroom, school, or beyond.
To do this you will apply current theories and practices regarding educational research and critically examine how these apply to education in general and to your own practices in particular.
You will design and conduct your own educational research project which was planned and designed in the preparation unit ED692 Educational Research Methods.
NB: For part-time students, ED693 Part A must be completed before enrolling in ED693 Part B.
Lead with confidence in the AI era.
This unit prepares educators and leaders to confidently navigate AI’s growing impact on teaching, learning, and assessment. You’ll explore real issues shaping Australian education, work collaboratively to analyse research, and lead professional discussions on AI’s opportunities and challenges. Through hands‑on tasks, you’ll design a workplace‑ready AI policy for your context and create practical tools and lessons that help students use AI safely, ethically, and effectively. Whether you work in early years, primary, secondary or tertiary settings, this unit equips you to make informed decisions, guide your community, and lead responsible, future‑focused innovation.
- Teacher: Natalie Leitao