🚀 AI Engineer Workshop: Build an AI Agent from Scratch
Spend a day building an AI agent from scratch — and learn what it takes to run agents reliably in real-world business environments.
💻 Hands-on AI engineering
🎓 Anthropic certification preparation
💼 AI Engineer interview guidance
🏢 Real enterprise case studies
As a member of the KSUG.AI community, you can save $100 to attend the full day workshop! 🎉
🏷️ Discount Code: KSAI
Building an AI agent is becoming easier. With today’s models and developer tools, you can quickly create an agent that answers questions, calls tools, and delivers an impressive demo.
But getting an agent to work reliably in production is a very different challenge.
How should you design the system architecture? How do you troubleshoot failed tool calls? How do you evaluate whether an agent actually completed its task successfully? And once it’s running, how do you monitor its behaviour, performance, and permissions?
Production-ready AI agents require more than prompts — they require solid engineering.
Join Roy for a hands-on AI Engineer Workshop combining practical exercises with real enterprise experience. You’ll build and test an AI agent while learning how system design, tool integration, evaluations, observability, and governance come together in production environments.
🛠️ What You’ll Learn
🧠 AI System Design
Understand how models, tools, workflows, and agent components fit together. Learn how business requirements influence architecture and technology decisions.
🔌 MCP & Tool Integration
Explore the role of Model Context Protocol (MCP) in agent development and learn how agents connect with external tools and capabilities to turn model outputs into real actions.
📊 Evaluations: Agent Quality & Performance
Learn how to evaluate whether an agent completed its task successfully and whether its output meets your requirements. Use testing and evaluations to identify problems and guide improvements.
🔍 AI Observability & Governance
Learn how to trace agent execution, investigate failures, define permissions, and establish behavioural boundaries so your agents are easier to monitor, manage, and maintain.
Throughout the workshop, you’ll work through practical tasks, build and test your own agent, and refine your approach based on the results.
Roy will also share real enterprise examples showing how these challenges appear — and how they are addressed — in production environments.
🎯 What You’ll Gain
🛠️ Hands-on Agent Building Experience
Build an AI agent from scratch and learn practical approaches for production environments. Understand how architecture, tools, evaluations, observability, and governance work together.
🎓 Anthropic Certification Walkthrough
Explore Anthropic certification pathways, key topics, and preparation priorities — and connect what you learn during the workshop with your next certification steps.
💼 AI Engineer Interview Guide
Understand common AI Engineer interview structures and preparation priorities. Learn how to communicate your project experience, technical thinking, architecture choices, and engineering decisions more effectively.
You’ll leave with practical AI engineering experience and a much clearer roadmap for building projects, preparing for certification, and developing your AI engineering career.
👥 Who Should Join?
This workshop is ideal for:
Developers already experimenting with AI agents who want to move beyond demos and prototypes
Software engineers interested in AI system design and agent development
AI learners looking for hands-on experience with MCP, tool integration, evaluations, and observability
Professionals exploring agentic AI for enterprise workflows
Anyone preparing for Anthropic certifications
Anyone preparing for AI Engineer roles and interviews
Some development experience is recommended. Bring your laptop — this is a hands-on workshop. 💻
👨💻 Meet Your Instructor: Roy
AI Engineer @ V2.ai
Roy has worked on agentic AI and software development projects at companies including Deloitte, bringing practical experience in designing and applying AI to real-world business problems.
His experience includes global supply chain risk management, invoice processing automation, and software development productivity, with a focus on using AI to solve complex business challenges and improve team efficiency.
Roy holds three Claude certifications:
Claude Certified Architect – Professional
Claude Certified Architect – Foundations
Claude Certified Developer – Foundations
📅 Event Details
Date: Sunday, 25 October 2026
Time: 10:00 AM – 4:00 PM (AEDT)
Location: Melbourne City
Format: In-person, hands-on workshop
Price: $389
🚀 Ready to Build?
Don't just learn how AI agents work — build one yourself.
Spend the day gaining practical experience across the key areas of AI engineering, from architecture and MCP integration to evaluations, observability, and governance.
Build your agent. Test it. Break it. Improve it.
And leave with a clearer understanding of what it takes to move from AI prototype → production-ready AI system.