32 courses with a free certificate from 10 providers. The highest rated is Generative AI and its Business Applications from TAFE NSW at 4.6 out of 5.
Covers how generative AI tools produce text and images and how they can be put to work in everyday business tasks such as drafting content and brainstorming.
| Course | Our rating | Cost | Time | Credential |
|---|---|---|---|---|
| Generative AI and its Business Applications | 4.6 / 5 | Free | 4 hours | certificate of completion (free) |
| TAFE NSW AI Microskills Bundle | 4.6 / 5 | Free | 11 hours | certificate of completion (free) |
| Elements of AI | 4.6 / 5 | Free | 36 hours | certificate of completion (free) |
| TAFE NSW Introduction to AI | 4.6 / 5 | Free | 2.5 hours | certificate of completion (free) |
| TAFE NSW Responsible AI | 4.6 / 5 | Free | 2 hours | certificate of completion (free) |
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Covers how generative AI tools produce text and images and how they can be put to work in everyday business tasks such as drafting content and brainstorming. It also covers the limits and considerations to keep in mind before relying on these tools.
A single enrolment that adds all four IATD AI microskills: Introduction to AI, Generative AI and its Business Applications, Responsible AI and Introduction to Agentic AI. It is the easiest way to work through a complete, free AI literacy pathway in one sitting or over a few weeks.
A plain-language introduction to what AI is, how it solves problems and how machine learning and neural networks work, with no programming or heavy maths. It closes by looking at what AI means for jobs and society. One of the most widely taken free AI courses in the world.
A gentle, non-technical first look at what AI is, how machines learn from data and where AI shows up in everyday life and work. It was built with the National AI Centre and is the flagship course in the Australian Government's free AI scholarship program.
Looks at the ethical, legal and policy questions that come with using AI, such as privacy, fairness, transparency and accountability. It uses business case studies to show what responsible AI governance looks like in practice.
The step after AI Foundations: learners take a workflow they repeat, break it into steps, find where AI adds value and build a practical plan to use AI across that process, turning one-off prompts into repeatable workflows.
Google's entry-level course on using generative AI tools at work: generating ideas, researching, drafting and speeding up routine tasks. It also covers prompting basics and how to spot bias and other risks. The same course is sold on Coursera, but Google now offers it at no cost on its own Google Skills platform.
An eight-week course on what makes teams work, including virtual teams, team roles, communication and diversity. It finishes with how to talk about your teamwork experience with employers. Completion earns an Open University badge and 24 CPD points.
An eight-week course, about three hours a week, on building the resilience to handle change and setbacks at work. You assess your own resilience, look at outside pressures on careers and set practical goals. Completion earns an Open University badge and 24 CPD points.
Anthropic's flagship tool-neutral course on working well with AI, built with academics from University College Cork and Ringling College. It teaches the 4D Framework (Delegation, Description, Discernment, Diligence) plus a grounding in how generative AI works and effective prompting.
Explains what agentic AI is, meaning AI that can carry out tasks with some autonomy, and why organisations are adopting it. It draws on Australian case studies and covers governance of agent systems and what they may mean for your career.
A short module on protecting personal information when using AI at work. It covers what counts as personal information, how AI tools use it, the privacy risks involved and what to do if an AI-related privacy breach occurs.
An introductory online micro-credential from TAFE SA that explains AI in simple terms, shows where it is used in work and daily life, and builds confidence to try common AI tools. Ethics, privacy and safety are covered throughout.
A short path for business users on the basics of generative AI and responsible use, followed by practical work in Microsoft 365 Copilot Chat. It covers how to write better prompts and how to use Copilot Chat safely inside a work account.
An app-by-app walk through of Copilot inside Word, Excel, PowerPoint, Outlook and Teams, plus Copilot Chat. Each module focuses on a common work task such as drafting a document, summarising a meeting or analysing a spreadsheet.
A three-hour AWS plan for business and technical leaders covering what generative AI can do, how to plan a generative AI project and how to prepare an organisation for it. It is strategy-focused and light on hands-on tool use.
A free university course that works through the big ethical questions raised by AI, such as who is accountable when AI causes harm, how transparent systems should be, and what fairness means. Each chapter pairs short readings with written exercises that are peer reviewed.
An eight-session course on using digital tools, from spreadsheets to argument maps, to reason more clearly and make better choices. It ends by linking these thinking tools to modern AI. Completion earns an Open University badge and 24 CPD points.
A practical starting course on using Claude for everyday work. It walks through a first conversation, getting better answers, and the main features such as projects, artifacts, skills, connected tools and research, then shows role-based examples.
Applies the 4D AI Fluency Framework to everyday small business work such as customer interactions, back-office tasks and operations. Built with PayPal and small business partners, it covers refining work with AI, being transparent about AI use and keeping a human in the loop.
Teaches how to direct AI agents on more structured, multi-step work. It focuses on giving agents context, defining what good output looks like, setting boundaries, checking results and improving the workflow over time.
A leader-focused course that works through a single AI initiative from business priority to adoption. Learners produce a first-draft AI strategy covering ownership, governance, a roadmap and adoption plan, and practise judging whether the evidence supports moving forward.
Eleven 30-minute courses showing how Gemini works inside Gmail, Docs, Sheets, Slides, Meet, Chat, Drive, Vids and the Gemini app. Each is short enough to take on its own, so staff can learn just the app they use most.
A short, plain-language IBM introduction to how AI learns, how people and AI can work together, and the benefits, risks and ethics involved. It finishes with a hands-on task guiding an AI assistant through a simple business problem.
OpenAI's entry-level course on working with AI at work. Learners pick a real task they do often and practise the basics of clear instructions, supplying context, reviewing outputs and responsible use, while learning how large language models and ChatGPT work.
A seven-module Microsoft Learn path that starts with what AI is and how generative AI works, then moves to smarter web searching, responsible use and everyday use of Microsoft Copilot. It was built under Microsoft's philanthropy programme, so some examples lean towards nonprofit work, but the content suits any beginner.
A version of the AI Fluency course shaped for nonprofit staff, developed with GivingTuesday. It applies the 4D Framework to research, writing, data analysis and workflow design, with attention to privacy and mission alignment.
Helps writers, designers, illustrators, musicians and other makers decide whether, where and how AI belongs in their practice. It starts from a no-AI baseline and adds two lenses (creative value and production) alongside the 4D Framework, with a focus on authorship and distinctiveness.
A short course on spotting AI opportunities in real workflows and deciding which are worth pursuing. Learners weigh likely benefit against implementation effort and write a clear problem statement and solution plan for the strongest idea.
A four-part Google Cloud path that explains what generative AI and large language models are, how prompting works and how to apply responsible AI principles. It is conceptual rather than tool training, which makes it a neutral primer before picking a specific product.
IBM's longer foundation credential covering the main branches of AI, including language processing, computer vision, machine learning, chatbots and neural networks, plus ethics and AI career paths. It suits someone who wants to understand how AI works under the hood rather than just use tools.
A short course that looks at how people and groups actually make decisions, comparing the rational economic model with psychological and sociological views. It also covers how people perceive risk and what can be done to improve decision making at work.
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