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Overview
This module is designed for finance professionals who want to lead with confidence in an AI enabled environment and understand how artificial intelligence is transforming accounting, finance, and organisational decision making. You will explore how AI is reshaping core finance functions through automation and emerging technologies, alongside the ethical considerations, governance challenges, and leadership responsibilities that come with adopting AI at scale. The learning experience is supported by interactive content, videos, and finance relevant examples that bring concepts to life.
Through this module, youll develop the capability to analyse finance activities and identify practical opportunities where AI can add value, while also building awareness of the leadership behaviours, cultural shifts, and capability building actions required to create an AI ready team. By examining real world applications and leadership scenarios, you will strengthen your ability to prepare teams for change and support safe, effective, and responsible AI adoption.
Featuring expert insights and practical activities, this module equips finance leaders and managers with the strategic perspective needed to navigate AI disruption, align AI initiatives with organisational goals, and lead confidently at the intersection of technology, people, and performance.
Key topics
- How AI is reshaping accounting and finance
- Identifying AI opportunities in core finance functions
- Building an AI-ready culture
This module consists of one online course with a PDF learning manual.
This module can be studied as part of the AI Strategy and Leadership in Finance micro-credential course, designed to provide in-depth, flexible learning.
The AI Strategy and Leadership in Finance course is made up of the following modules:
- Foundations of AI Strategy and Leadership (1.5 CPD hours)
- AI for Decision-Making and Strategic Insight (1.5 CPD hours)
- Leading Teams through AI Transformation (1.5 CPD hours)
- Ethical, Responsible and Future-Focused AI Leadership (1.5 CPD hours)
If you have enrolled in the full micro-credential course, you will have access to the assessment. If you have enrolled in an individual module and would like to complete the assessment and gain a badge, you can purchase the assessment separately.
The assessment will be subject to security measures such as identification verification and webcam monitoring. Please ensure you read the Assessment and security policy and system requirements prior to making your purchase.
IMPORTANT:You must complete this course and assessment by the expiry date. Extensions to this timeframe will not be provided.
About CPA Australia Micro-Credentials
CPA Australias Micro-Credentials are based on technical and non-technical competencies and align to our Accounting and Finance Capability Framework. Our partner, Credly, will provide you with a digital badge on successful completion of the assessment. Your digital badge allows you to demonstrate your capability and achievement, and can be placed on your LinkedIn profile, digital CV or email signature.
Flexible learning options:
- Micro-credential (5 CPD hours): Purchase the full micro-credential (which includes all four modules), complete the assessment and earn a digital badge.
- Individual modules: Choose to purchase modules individually, allowing you to focus on the specific areas and capabilities that interest you.
What you'll learn
- Explain how AI is reshaping accounting and finance including technologies, automation trends, ethical responsibilities, and leadership capabilities.
- Analyse core finance functions to identify practical AI opportunities, and build awareness of the leadership behaviours, cultural shifts, and capability-building actions required to cultivate an AI-ready team.
Who is this for ?
This module is suited to finance professionals who want to understand how artificial intelligence is reshaping accounting and finance, identify practical AI opportunities across core finance functions, and build the leadership capability needed to prepare their teams for safe and effective AI adoption.
