certificate of completion (US$49 on Coursera (about A$70), or DeepLearning.AI PRO)
certificate of completion (free)
Open to
Worldwide
Australia
Free in
Worldwide
New South Wales
Content written for
United States
Australia
Summary
Andrew Ng's non-technical course on what AI can and cannot do, how AI projects run and how a company can build its AI capability. It is the most widely taken business-focused AI primer and suits managers who need to spot sensible AI opportunities.
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.
Objectives
Use core AI terms such as machine learning and deep learning correctly
Judge realistically what AI can and cannot do
Spot opportunities to apply AI in your organisation
Understand how machine learning and data science projects run
Work with technical teams to shape an AI strategy
Think through the ethical and social side of AI
Build a plain-English understanding of AI and machine learning
Apply generative AI to routine business tasks
Use AI responsibly with attention to ethics and governance
Understand agentic AI and how to govern it
Things to know
Recorded before the generative AI boom; pair with Generative AI for Everyone
Coursera free access is now a preview of the first module only; take it free on deeplearning.ai instead
US-centric examples
Account sign-up required
Duration is estimated as the midpoint of the four courses' stated hours (2.5 + 3 to 5 + 2 + 2 to 3), about 9.5 to 12.5 hours in total
Certificates are issued per course on completing all modules and the feedback activity
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