Global Institute of Artificial Intelligence

## Overview

Join us in person to explore the newest AI tools, master prompt engineering, and dive into large language models!

## Join Us for Graduate Pathways in AI!

Ready to dive into the world of AI? Come explore the latest tools, get hands-on with prompt engineering, and uncover the magic behind LLMs (Large Language Models). This is an in-person event perfect for grads looking to boost their AI game. Don't miss out on networking, learning, and having fun with fellow AI enthusiasts!

Agenda

6:00 PM - 6:15 PM
Arrival + food + networking
Check-in, pizza/soft drinks, quick intros.
6:15 PM - 6:25 PM
Welcome + session framing
What you’ll learn, how to use the session, and how Q&A/breakouts will work.
6:25 PM - 6:45 PM
The LLM landscape in 2026 (practical view)
What LLMs are good at vs. not good at. Common workflows teams use (research, analysis, content, coding assistance). Tool categories (models, chat UIs, notebooks, agent frameworks, evaluation/testing).
6:45 PM - 7:05 PM
Prompt engineering + agentic AI (live examples)
Prompt structure you can reuse: role, task, context, constraints, examples, evaluation. How to iterate: compare outputs, check assumptions, reduce hallucinations, get citations/traceability. Agentic workflows: when an “agent” helps (multi-step tasks, tool use, memory) and when it’s overkill.
7:05 PM - 7:20 PM
Breakout circles (small groups)
7:20 PM - 7:27 PM
Resources + next steps
Share resource pack: tool list, learning roadmap, project ideas, evaluation checklist.
7:27 PM - 7:30 PM
Surprise + close
Surprise reveal and thank you

Move beyond chatbots to autonomous agents that think, plan, and execute complex business workflows.
Discover how Agentic AI is transforming business productivity by moving from simple prompt-and-response interactions to autonomous systems that handle complex, multi-step workflows. This comprehensive session breaks down the core concepts of AI agents, their transformative role in modern enterprises, and practical strategies for deploying them to automate critical business processes.

You'll learn the fundamental differences between traditional large language models and agentic workflows, explore the anatomy of an AI agent (including brain, memory, and tool-use capabilities), and examine real-world applications across RevOps, marketing automation, and data engineering. The session also addresses essential governance and safety considerations for the responsible deployment of AI.

Led by Sandeep Bhalekar, CEO of GIofAI, who brings over 20 years of leadership experience in data and AI transformation at global financial institutions, including Bank of America, HSBC, and NAB.

In 2026, data engineering has evolved from "managing pipelines" to "engineering adaptive data platforms."

Join Sandeep Bhalekar for a strategic exploration of the foundational shifts reshaping the Australian technology landscape.

This session moves beyond theory to provide a practical roadmap for professionals navigating the convergence of cloud-native ecosystems, real-time analytics, and Generative AI.

We will discuss the structural changes required to build future-ready data architectures that ensure security, intelligence, and trust in an AI-first world.​

Exclusive Attendee Strategic Benefits:

To support the growth of Australia’s data leadership, all live attendees will receive:

• 60% Educational Scholarship: Significant funding for professional upskilling programs.
• 50% Off Strategic Masterclass: Half-price access to our "Masterclass on Data Modelling."
• 1-on-1 Strategic Advisory: A private consultation with our advisory team to discuss your organizational or career roadmap.
• Priority Resource Access: Immediate access to GIofAI’s proprietary technical frameworks.

What We Will Cover:

• The Blueprint for AI Adoption: Transitioning from random AI experiments to a unified, scalable data strategy.
• Distributed AI & Sovereignty: Navigating the shift toward edge computing and data control in Australia
• 2026 Infrastructure Trends: The critical role of high-quality pipelines in feeding vector databases and GenAI.
• Workforce Evolution: Identifying the core competencies needed to stay relevant as AI reshapes technical roles.