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AI Leadership: Agentic Governance Bundle
Responsible AI Leadership + Agentic AI for Leaders
Bundle Overview
Build stronger capability in AI-enabled change and Agentic AI governance while you save!
This EOFY, save an additional 10% when you enrol in both Responsible AI Leadership and Agentic AI for Leaders.
This practical bundle combines Responsible AI Leadership with Agentic AI for Leaders to help leaders govern AI-enabled change with confidence, clarity and accountability. You will learn how to guide responsible AI adoption, govern agentic AI within workflows 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
Agentic AI for Leaders
Duration:
2 Days
Delivery Mode:
On-Campus or Virtual
Price:
$2095.00
Faculty:
Experience Level:
Advanced
Responsible AI Leadership
Duration:
2 Days
Delivery Mode:
On-Campus or Virtual
Price:
$1680.00
Faculty:
Experience Level:
Intermediate
Learning Outcomes: Agentic AI for Leaders
Upon completion of this course you will be able to:
- Identify where agentic AI autonomy is appropriate based on trust, risk and performance stability
- Define clear boundaries between agentic AI workflows and human authority
- Apply governance and oversight mechanisms that remain effective after deployment
- Utilise observability and escalation frameworks to maintain accountability across agentic AI-enabled workflows
- Evaluate when to deploy, scale, constrain or withdraw agentic AI based on readiness and risk
- Maintain leadership accountability as agentic AI operates across workflows and influences outcomes
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For the full two-day agenda download the expanded Agentic AI for Leaders 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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