Introduction to generative AI in finance microcourse

CA ANZ

PaidBeginnerAbout 5 hoursSelf-pacedNo coding

Last updated September 6, 2026

Introduction to generative AI in finance is a self-paced microcourse from Chartered Accountants Australia and New Zealand, and a component of its Certificate in AI Fluency. It explains how generative AI works in terms aimed at financial professionals rather than engineers, then covers the skills needed to use it: interpreting an output critically, recognizing its limitations and biases, and judging when a result can be relied on. It moves on to identifying opportunities in your own work, weighed against ethics and risk, and to explaining both the advantages and the dangers to technical and non-technical colleagues. It is a paid course, taken online and on demand.

Part 1 of 4 in CA ANZ's Certificate in AI Fluency

  1. Introduction to generative AI in finance microcourse (you are here)
  2. Ethical use of generative AI microcourse
  3. Planning for GenAI implementation in finance microcourse
  4. GenAI governance blueprint microcourse

What you'll learn

  • How generative AI works, explained for a finance audience
  • The core skills needed to work with generative AI tools
  • Interpreting and critically evaluating outputs, including limitations and bias
  • Identifying opportunities to use generative AI in your own work
  • Weighing an opportunity against critical thinking, ethics and risk
  • Explaining benefits and risks to technical and non-technical stakeholders

Frequently asked questions about Introduction to generative AI in finance microcourse

Who is Introduction to generative AI in finance microcourse for?

Finance professionals taking a first structured look at generative AI; the course is sold on the Australian market, but the content is not tied to one jurisdiction.

Is Introduction to generative AI in finance microcourse free?

No — Introduction to generative AI in finance microcourse is a paid course.

Why we suggest this course

For accountants who want a first grounding in generative AI that stays inside financial work rather than treating finance as an afterthought. Evaluating output is given as much weight as producing it, which is the right emphasis for a profession where a plausible wrong number is the expensive failure. Explaining risks and benefits to non-technical colleagues is a demand accountants meet more often than they expect.

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