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SHORT COURSE

Artificial Intelligence for Executives

$ 4,717.50

START DATE

31 July

MODE

On Campus (Sydney)

DURATION

20 hrs

COMMITMENT

5 days

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Lead academic

Lorenzo Casavecchia

Lorenzo Casavecchia
Executive Education Program Coordinator

Lorenzo is key Faculty for Executive Education Programs at UTS Business School. With a Ph.D. in Finance and specialisations in Asset Management and AI, Lorenzo bridges industry expertise with academic rigour. He collaborates with several organisations to design a curriculum delivering immediate business impact. His leadership in cross-disciplinary  education ensures participants receive a learning experience that transforms technical concepts into practical implementations.​

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Developed by UTS Business School in partnership with AWS, Commonwealth Bank, and leading law and financial firms, this program equips you with actionable frameworks, hands-on technical experience, and strategic vision that can be implemented from day one. You will engage in real-world projects using cutting-edge AI tools, collaborate directly with industry pioneers, and develop a personalised transformation roadmap for your organisation.

About this course

Explore how you can leverage AI to gain innovative insights and practical skills to successfully lead AI-driven transformation and cybersecurity initiatives in your business.

Key benefits of this course

This short course has been designed to give participants:

  • Hands-on AWS technology experience​
  • AI, ethics and cybersecurity integration​
  • Industry-relevant and future-focused​
  • Breakthrough learning​.

Course outline

Program overview

This five-day executive program equips leaders with the tools to integrate AI and cybersecurity into their organisations. Developed by UTS Business School in  partnership with AWS, Commonwealth Bank, and leading law and financial firms, the program combines hands-on technical experience, expert insights, and real-world applications.

Course structure and delivery

  • Duration: 5 days
  • Format: Expert-led keynotes, hands-on labs, interactive discussions, and case studies
  • Collaboration: Work alongside industry pioneers and an exclusive network of executives
  • Outcome: Develop a personalised AI and cybersecurity transformation roadmap.

Key topics and learning themes

AI and the future of work

  • AI’s role in workforce transformation
  • Strategic frameworks for AI adoption.

Hands-on AWS AI tools

  • Practical experience with Amazon Q and Amazon Bedrock
  • Building AI-powered business solutions.

AI, ethics and cybersecurity

  • Ethical and regulatory considerations
  • Cybersecurity risks in an AI-driven world.

Industry-specific AI innovations

  • AI-driven cybersecurity solutions
  • Sector-specific case studies (banking, law, consulting).

Strategy and implementation

  • Developing a transformation roadmap
  • Panel discussion with industry leaders
  • Group presentations and networking.

Teaching methods

  • Interactive Keynotes and Panels: Insights from top AI and cybersecurity experts
  • Hands-On Labs: Work directly with AWS AI tools
  • Facilitated Discussions and Case Studies: Explore real-world applications
  • Group Collaboration: Develop AI strategies for your organisation.

By the end of the program, participants will be equipped with actionable frameworks and technical skills to drive AI-led transformation.

Course learning objectives

On successful completion of this course, participants should understand:

  • Strategic AI implementation
  • Ethical leadership in AI
  • Industry- specific AI Applications
  • Cybersecurity preparedness.

Requirements

Mandatory

To complete this course, you will need a personal computer with adequate internet access and sufficient software and bandwidth to support web conferencing. You will also require an operating system with a web browser compatible with Canvas, Zoom and Microsoft Teams

Desired

Experienced professionals.

Venue information

Catering provisions and dietary requirements 

Morning tea, snacks and some lunch will be provided for the duration of this course. If you have any dietary requirements, please contact faculty@uts.edu.au  

Accessibility 

If you have any specific accessibility requirements, please contact faculty@uts.edu.au   

Transport and parking options 

Multiple public transport options including train (8min walk from Circular Quay station), light rail (4min walk from Bridge Street station) and buses. For more information, please use the Transport NSW Trip Planner

On-site parking is not available. Paid carparks are located nearby.  

Price

Full price: $5,550 (GST-inclusive)*

Early bird price: $4,717.50 (GST-inclusive)* available until Thursday 15 May 2025 at 11.59pm (AEST). 

*Price subject to change. Please check price at time of purchase. 

Discounts are available for this course. For further details and to verify if you qualify, please check the Discounts section.

Payment on invoice requests must be paid in full and reconciled by our Finance team before you can access your online course materials. Please make sure your invoice payments reference the UTS Open invoice number. You can also forward remittance advice to support@open.uts.edu.au

Discounts

  • 15% discount for early bird - available until Thursday 15 May 2025 at 11.59pm (AEST)
  • 10% discount for group enrolments of 3 or more from the same organisation.

Discounts cannot be combined and only one discount can be applied per person per course session. Discounts can only be applied to the full price. Discounts cannot be applied to any offered special price. 

How to obtain your discount voucher code (group enrolments)

Please contact the team at support@open.uts.edu.au with details of group enrolment to obtain your discount voucher code. 

How to apply your discount voucher  

  • Add this course to your cart 
  • Click on "View Cart" (blue shopping trolley at top right of screen). You will need to sign in or sign up to UTS Open 
  • Enter your eligible code beneath the "Have a voucher code?" prompt and click on the blue "Apply" button 
  • Verify your voucher code has been successfully applied before clicking on the blue "Checkout" button. 

Enrolment conditions

Course purchase is subject to UTS Open Terms and Conditions.

Contact us

For any questions on enrolment or payment, please email support@open.uts.edu.au 

If you have a specific question about course content or requirements, please email business.futures@uts.edu.au

Who is this course for?

This course is suitable for:

  • Mid-career professionals and functional managers looking to accelerate digital projects
  • Entrepreneurs seeking to scale AI-driven products or services.
  • Senior executives.

Book a session

Thu 31 Jul 2025-
Thu 28 Aug 2025
Expert: Lorenzo Casavecchia
  • UTS City Campus. Click on the underlined sessions and hours total link below to reveal specific session details.
  • On Campus (Sydney)
  • 5 sessions, 20 hours total

Enrolments close on Tuesday 15 July 2025 at 5pm (AEST), or when all places have been filled, whichever occurs first.

Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.

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