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AI Leadership Foundations Bundle
AI Essentials for Business + Responsible AI Leadership
Bundle Overview
Strengthen your AI leadership capability and save while you do it!
This EOFY, save an additional 10% when you enrol in both AI Essentials for Business and Responsible AI Leadership.
This practical bundle builds the leadership capability to adopt and govern AI with confidence, clarity and accountability. You will learn how to identify where AI adds value, guide responsible use across teams and make informed decisions that balance innovation, risk and organisational outcomes.
Add both currently discounted courses to your cart, and an additional discount will be applied automatically at checkout.
Select Your Course Location and Dates
AI Essentials for Business
Duration:
1 Day
Delivery Mode:
On-Campus or Virtual
Price:
$860.00
Faculty:
Experience Level:
Foundational
Responsible AI Leadership
Duration:
2 Days
Delivery Mode:
On-Campus or Virtual
Price:
$1680.00
Faculty:
Experience Level:
Intermediate
Learning Outcomes: AI Essentials for Business
Upon completion of this course, you will be able to:
- Define what AI is and is not, bust common myths and use key terms with confidence in daily conversations
- Distinguish between Generative AI and Agentic AI and apply their uses in business contexts
- Identify and compare leading Generative AI models and features to select the right tool for different tasks
- Apply Generative AI to spark ideas, streamline workflows and strengthen collaboration
- Recognise Agentic AI systems and demonstrate how they operate in real-world scenarios
- Make informed choices about AI by identifying ethical risks such as bias, confidentiality and alignment
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For the full 1-day agenda download the expanded AI Essentials for Business Course Guide
Learning Outcomes: Responsible AI Leadership
Upon completion of this course you will be able to:
- Identify the leadership and organisational problems AI is being asked to solve, determine the appropriate role for AI in each context, and evaluate how AI changes leadership responsibility and accountability
- Define and articulate a clear leadership position on responsible AI adoption aligned with organisational strategy and risk appetite
- Analyse AI readiness, risk and exposure across teams and workflows to identify capability gaps and unmanaged use
- Evaluate AI-assisted outputs for accuracy, bias and reliability, determine the appropriate level of human oversight and communicate these judgements to build shared capability
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