Mastering Generative AI:
From Foundations to Fluency
Learn the method. Master the tools.
Lead the transformation.
Course overview
This is a 5-week executive education course designed to equip leaders with the skills and strategic insight to harness generative AI – especially large language models (LLMs) – effectively and responsibly.
As generative AI reshapes work across sectors, this course builds not only technical literacy and creative fluency, but also the judgment, foresight, and ethical grounding required to analyse complex issues as well as lead systemic transformation.
UPCOMING COURSE DATES
26 Aug to 23 Sep
TIME
9.30am – 11.30am, Tuesdays
FORMAT
Online
PRICE
Individual: AUD 3,454
Group (5 or more): AUD 2,959/person
Full Buyout (15 people): AUD 39,875
Hear from our previous participants below …
Who is this course for
This program is for you if you are:
❖ CEOs, business leader or executive
❖ A policymaker or public servant
❖ A private sector professional
❖ A community leader or activist
❖ A social entrepreneur or systems innovator
❖ A technologist or educator working on social impact
❖ An industry leader shaping the future of your sector
You don't need to be an expert in AI. You just need curiosity, courage, and a commitment to systemic change.
What is different about this?
Rooted in Dragonfly Thinking – our integrative, multi-lens methodology for systemic foresight – the program explores both the technical and socio-technical dimensions of AI adoption.
We build hands-on skills while emphasizing systems thinking, institutional trust, power dynamics, and legitimacy to help participants lead with confidence in complex, fast-changing environments.
Why now?
In an era of accelerating crises and possibilities, leaders need adaptive mindsets, AI fluency, and collective strategy to shape new thinking. Dragonfly offers the tools and techniques to do just that.
Whether you are a complete beginner or already using LLMs every day, participants will come away with the practical skills and technical understanding to confidently deploy Generative AI in more strategic, innovative, and responsible ways.
What you will get from this course
✓ Learn alongside a diverse cohort through interactive exercises
✓ Become fluent in AI collaborative tools for collective action and solutions
✓ Be mentored by seasoned facilitators, experts, and Dragonfly’s very own changemakers
✓ Deepen your capacity to strategize and lead ethically in complexity
✓ Join thematic circles and reflection pods for initiatives beyond the program
What’s included
Live sessions
Weekly live sessions with Dragonfly experts during the course
Dragonfly platform access
3-month access to Dragonfly’s AI tools.
Dragonfly community
Access to exclusive peer network
Self-paced learning materials
Templates, canvases, and frameworks to begin and grow your AI journey
Course structure
-
Build confidence with core concepts and practical skills for working alongside AI.
Key topics include:LLM fundamentals
Mental models for Human-AI collaboration
Trust calibration in Human-AI interactions
Addressing environmental impacts
Foundational prompting skills
-
Level up your AI skills. Learn to work critically, ethically, and creatively with AI tools across contexts.
Key topics include:Ethical challenges in AI
Mastering multiple AI tools & platforms
Advanced prompt engineering techniques
Human-AI teaming in practice
-
Elevate your thinking. Turn complexity into clarity with AI to tackle the problems that matter most.
Key topics include:
Power of structured thinking
What is Dragonfly Thinking?
The RRR framework and application
Using the Dragonfly AI tool suite
-
Move from insight to action. Navigate what is and what could be to lead adaptable strategies.
Key topics include:Designing interventions & policy options
Complex systems dynamics & mapping
Scenario development & testing
Meta-prompting to deepen & broaden analysis
-
Design smarter with AI. Create purpose-built agents and link them for reliable, effective automation.
Key topics include:Custom GPT creation for targeted tasks
Workflow & agent design principles
Prompting best-practices for agents & automation
Integrating AI & optimizing workflows
Every session combines hands-on exercises with follow-up activities designed to deepen learning, build practical skills, and support real-world application. To ensure relevance, each cohort engages with tailored discussions, sector-specific case studies, and optional readings aligned to their context.
Meet your instructors
Miranda Forsyth
Co-founder and Director of Dragonfly Thinking
Interdisciplinary scholar with deep expertise in law, justice, and complexity across the Pacific. She is currently a professor at ANU. Known for her collaborative leadership and global networks, Miranda brings rich insight into how legal systems and culture shape decision-making.
Anthea Roberts
Founder and CEO of Dragonfly Thinking
Leading thinker on international law and geoeconomics, with a distinctive focus on navigating complexity in a contested world. Anthea bridges strategic nuance in policy and systems analysis to illuminate global shifts and patterns in an era of disruption.
Sam Barton
AI Operations at Dragonfly Thinking
Combines deep technical fluency with a background in philosophy and complex systems science to help organisations harness generative AI for meaningful impact. Sam enables teams to design tools, automate workflows, and embed intelligence into real-world value.
Ready to co-create the future?
Individual Pricing
AUD 3,454
per person
Group Pricing (5 or more)
AUD 2,959
per person
Full Buyout
AUD 39,875
for 15 people
Dragonfly Learning Course Terms and Conditions:
Your place in the course is reserved only once full payment has been received. Upon a successful payment and registration, a confirmation email including a payment receipt will be sent. If you have not received such an email, you may contact via the website to enquire about your registration.
Payments are non-refundable. If you are no longer able to attend the course, you may pass to someone else to come in your place. Notification on transfers must be received at least 24hrs prior to the course commencing and acknowledged by the organisers. This is to assist communication of tool access and resources for the course. Failure to do so may result in less optimal experience. Transfers mid-course will not be allowed.
In the lead up to the course, email reminders will be communicated to all registrants. In the event you forget to come or you are unable to attend and fail to transfer your place, your purchase is non-transferable after the course start date.
The organisers reserve the right to cancel or reschedule a course if the minimum attendance requirement is not met. Registrants will be given at least 48 hours notice of a cancellation or rescheduling. If the course is cancelled or rescheduled, a full refund or credit will be given.