Agentic AI
Applied Lab.

Explore what machine learning and AI can do, and apply that understanding to real challenges from your workplace. Spend two days learning, testing ideas and developing your use cases with practical guidance and peer discussion.

Register now

  • 29–30 October 2026
  • 8:30am-4:30pm
  • Brisbane
  • From $1,195 · early bird closes 25 September 2026
Agentic AI Lab

Registrations

Early-bird rate for the two-day Apter AI Lab. Closes 11:59 pm AEST, 25 September 2026.

Early-bird pricing closes 25 September 2026. Registrations continue after that at the standard rate.

After 25 September 2026

  • Standard, per person$1,395
  • Group of 3 or more from one organisation, per person$1,325

All prices include GST.

In person, per person incl GST$1,195
Group of 3 or more from one organisation, per person incl GST$1,135
Total$0

Prefer to pay by invoice? See the purchase order request page or email admin@apter.au.

*The group rate applies when three or more people from the same organisation register for the same course. Select it for each person in the group. It is 5% off whichever price is open, early bird or standard. All prices include GST.

How to attend

In person

  • Two days of explanations, demonstrations and practical case work
  • Time to explore and develop challenges from your own workplace
  • Facilitator guidance and discussion with professionals from other organisations
  • Opportunities to compare approaches, test ideas and learn from each other's cases

The October Lab is delivered in person in Brisbane. Small teams from the same organisation are welcome.

The course runs subject to minimum enrolment. If Apter postpones or cancels it, you choose a full refund or a transfer.

Why this course

Understanding what machine learning and AI can do is the starting point. Applying that knowledge to your own work means looking closely at the problem, the information available and the result you need.

The Apter AI Lab brings these together. Over two days, you will gain insight into machine learning, generative AI and agents, see examples of their applications, and work through use cases from your own workplace.

Your cases might involve everyday tasks that take too much time, information that is difficult to use, or larger challenges involving analysis, planning and important decisions. We explore the approaches that could help, test ideas and develop each case as far as the available time, data and tools allow.

Explanations and demonstrations support the practical work throughout the Lab. You will learn from working on your own cases and from seeing how other participants approach theirs. The aim is useful progress on real work, alongside a stronger understanding of how these technologies can support your practice.

Who it is for

The Lab is for professionals across government, business, consulting and research, including:

  • Council officers, engineers, planners and technical managers
  • Government analysts, policy officers and programme teams
  • Utilities, infrastructure and asset management teams
  • Consultants and other professional services practitioners
  • Researchers and university staff
  • Climate, resilience, operations and organisational improvement teams

No prior programming or specialist AI experience is required. Bring a real workplace challenge, relevant knowledge of your work and a willingness to explore new approaches.

Workplace challenges to explore

Think about both the everyday tasks that create friction and the larger challenges where better information, analysis or decisions could make a difference. Examples include:

  • Preparing recurring reports from information held across several documents or systems
  • Reviewing research, policies or submissions and drawing together the relevant evidence
  • Organising enquiries, procurement documents or grant applications
  • Turning inspection records, images or other data into useful information
  • Exploring patterns in monitoring data or developing an initial forecasting approach
  • Assessing asset condition and supporting maintenance or investment decisions
  • Comparing options for a planning, environmental or operational challenge
  • Developing an AI assistant or agent to support a recurring professional task

You do not need to arrive with a proposed solution. Part of the Lab is understanding the problem and exploring which approaches are worth trying.

What you will be able to do

  1. Explain the main capabilities and limitations of machine learning, generative AI and agents, and recognise where each may be useful.
  2. Identify workplace use cases ranging from everyday friction to larger analytical and decision-making challenges.
  3. Describe a use case in its workplace context, including the people, processes, information and constraints involved.
  4. Explore suitable approaches and use relevant tools to develop and test ideas.
  5. Assess the usefulness and reliability of results, check supporting evidence and recognise where professional judgement is needed.
  6. Identify what is needed to continue developing or applying the work in your organisation.

What you take back

  • A clearer understanding of machine learning and AI and their relevance to your work
  • Use cases explored in the context of your organisation
  • The work developed during the Lab, which may include an improved process, an initial analysis, a draft output, a tool or a working prototype
  • A clearer view of what worked, what needs further testing and what information or expertise is still needed
  • Practical next steps for continuing the work
  • Course materials and a Certificate of Completion

The form and depth of the output will depend on your cases. Some may progress to a working solution or prototype; others may produce an initial analysis or a clearer approach to a complex problem. The aim is to make as much useful progress as possible during the two days.

Programme

  1. Day 1

    Understand AI and explore your workplace challenges

    Build an understanding of the technologies, examine practical applications and begin working through your own use cases.

    • Machine learning and AI: key concepts, capabilities and limitations
    • Different approaches to prediction, pattern recognition, analysis, content generation and decision support
    • Generative AI, tools, automation and agents in professional work
    • Demonstrations and examples of practical applications
    • Exploring everyday friction and larger consequential challenges
    • Understanding each case: the desired outcome, current process, available information and workplace constraints
    • Selecting relevant approaches and starting practical work
    • Discussing initial results, questions and lessons with the group
  2. Day 2

    Develop, test and refine your use cases

    Continue the practical work, explore what the results tell you and develop each case as far as possible.

    • Developing analyses, workflows, outputs, tools or prototypes around your cases
    • Further demonstrations and explanations in response to the work being explored
    • Testing approaches, comparing results and making improvements
    • Checking accuracy, supporting evidence and limitations
    • Understanding privacy, information handling and the role of human judgement
    • Working through technical and organisational constraints
    • Sharing progress and receiving facilitator and peer feedback
    • Identifying what is ready to use, what needs more work and how to continue

Teaching, demonstrations and practical work are interwoven across both days. The balance responds to participants' cases and experience, with substantial time for developing and testing ideas.

How we work

  • Real workplace context: We explore the challenges you face, using your knowledge of the people, processes, data and decisions involved.
  • Practical exploration: You work with relevant tools and approaches, test ideas and learn from the results. No prior programming experience is required; some cases may involve exploring code, automation or agent-assisted development with guidance.
  • Independent approach: Tools and methods are selected for their relevance to the cases. You will consider different approaches and their strengths and limitations.
  • Professional judgement: Checking results and understanding their limitations are part of the practical work. You remain responsible for deciding how an output can be used in your professional setting.

Instructors

  • Dr Marcello Sano

    Founder and instructor, Apter

    Marcello's work spans coastal systems, hazards, risk and adaptation, with research and practical applications in machine learning and AI. He brings experience across government, research and professional practice to the Lab's explanations, demonstrations and case work.

The Lab is led by Marcello Sano. Details of any guest contributors will be shared with registered participants.

What is included

  • Two days of teaching, demonstrations and practical case work
  • A short challenge brief to help you prepare before the Lab
  • Facilitator guidance and peer discussion
  • Course materials
  • Certificate of Completion

Questions

What do I need to bring?
Bring a laptop and real challenges from your workplace. Before the Lab, we will ask you to describe the work, what makes it difficult and what useful progress would look like. It helps to think about an everyday task that takes time and a larger challenge you would like to explore. Bring relevant documents or sample data only where you have permission to use them.
My problem involves sensitive material. Can I still work on it?
You can describe the challenge without sharing confidential details. Use anonymised examples or sample data where appropriate, and only bring or upload material you are authorised to use. You decide what you share with the group. You and your organisation retain ownership of the information and prior work you bring.
Can I bring my team?
Yes. Small teams from the same organisation are welcome. You can explore shared challenges or work on related cases. A group rate is available when three or more people from one organisation register for the course.
Do I need technical skills?
No prior programming or specialist AI experience is required. The Lab combines accessible explanations and demonstrations with guided practical work. Your knowledge of your own workplace and its challenges is an important part of the experience.
Can I join online?
The October Lab is delivered in person in Brisbane. There is no live-stream option for this event.
Can my organisation pay by invoice or purchase order?
Yes. You can pay by card at checkout, submit a purchase order request or email admin@apter.au to arrange an invoice. A tax invoice is provided for your booking, and there is no booking fee.
How does the group rate work?
Three or more people from the same organisation registering for this course can use the group rate. It is 5% off the current individual price, rounded down to the nearest $5, and is available during both the early-bird and standard booking periods. Select the group ticket for each person.
What if I cannot attend after registering?
You can send a colleague in your place at no cost if you let us know before the course starts. Cancellation arrangements are set out in our terms: a refund less any non-recoverable costs more than 21 days before the course, a transfer or credit between 8 and 21 days before, and no refund in the final 7 days.
What if Apter postpones or cancels the course?
The course runs subject to minimum enrolment. If Apter postpones or cancels it, you can choose a full refund or a transfer to the next course. Please wait for written confirmation that the course is going ahead before booking non-refundable travel.
Do I get a certificate?
Yes. After completing the course, you receive a Certificate of Completion with a credential ID, a verification link on apter.au and the structured learning hours for the course. You can add the credential to LinkedIn. Recognition towards professional development requirements depends on your professional body's rules.
Where is the venue?
The Lab will take place in Brisbane. The venue is to be confirmed, and details will be shared with registered participants before the course.
I have dietary or accessibility requirements. Who should I contact?
Please email admin@apter.au as early as possible so we can discuss your needs and make arrangements.

Register

Two days to understand the possibilities of machine learning and AI, explore real workplace challenges and develop your ideas in practice.

29–30 October 2026, Brisbane. From $1,195 per person, GST included. Early bird closes 25 September 2026.

Register now

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What practitioners say

Feedback on the Apter learning experience from participants in Coastal Resilience courses, not this programme.

We were deeply impressed by this comprehensive and practical course. It provided essential knowledge that we hope to implement in our national forecasting strategies. Thank you for your valuable guidance and support.
Tom NatickMinistry of Climate Change, Vanuatu
An excellent opportunity to network with like-minded professionals and learn from leading experts. I have taken back a wealth of knowledge to my council and made contacts that will support my work into the future.
Bronson SymmondsAlexandrina Council, South Australia
An eye-opening and transformative experience. The Coastal Resilience Short Course reshaped how I approach coastal planning — moving beyond technical fixes to embrace systems thinking, meaningful community engagement, and long-term adaptation. I left the course with practical tools, renewed clarity, and a stronger sense of purpose in my role.
Dayane Barros Da SilvaCity of Gold Coast, Queensland

Get in touch

Ask about a course, in-person training for your team, or a partnership. We usually reply within one business day.