Cover Image for W3: Building Practical AI Agents
Cover Image for W3: Building Practical AI Agents
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Stop building chatbots. Start building agents.

An agent is not a smarter chatbot — it's a system that can plan, use tools, remember context, and complete multi-step tasks without hand-holding. The gap between understanding what agents are and being able to build one that actually works is where most teams get stuck.

This intensive one-day workshop closes that gap. You'll build a working agent before lunch.

What we'll cover:

→ What agents actually are — the reasoning loop, tools, memory, and orchestration explained clearly

→ The three core patterns: ReAct, tool calling, and planning — with live demos of each

→ Building your first agent from scratch: a working research assistant, end-to-end

→ Hands-on project: you build one, with support in the room

→ Debugging agents — the failure modes that trip up every first build → Memory and multi-tool integration: short-term, long-term, APIs, search, code execution

→ Frameworks: LangGraph and CrewAI — when to use each, when to use neither

→ Safety, cost controls, and when NOT to use agents at all

You'll leave with:

At least one working agent you can extend and deploy. A project brief and starter repo. A clear decision framework for agent architecture.

Who this is for:

Developers, technical PMs, and engineers who want to go beyond chatbots. Comfortable with basic Python — or willing to follow along in a Colab notebook. LLM API experience helpful but not required.

📅 Wednesday 24 June 2026

🕘 9:00am – 5:30pm (longer day — there's a lot to build)

📍 Stone & Chalk Tech Central, Haymarket

This is the 1-day intensive format. The full 2-day version — with deeper memory, multi-tool workflows, and a more extended project — is available for in-house corporate delivery.

🎟 Early bird pricing closes 3 June — price increases after.

💬 DataEngBytes member? Use code DEB10 at checkout for 10% off.

Bring a laptop. Colab notebooks provided. Lunch and materials included.

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🗓 PART OF AI MASTERY WEEK — 22–26 JUNE

Mon 22 → W1: Prompt Engineering Mastery

Tue 23 → W2: Mastering AI/LLM Evaluations

Wed 24 → W3: Building Practical AI Agents ← you're here

Thu–Fri → W4: Enterprise AI Architecture

🎁 Book all four and save 15%: AI Mastery Week Bundle

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Hosted by Peter Hanssens, founder of Cloud Shuttle and DataEngBytes — ANZ's largest data engineering community conference.

Location
Stone & Chalk Tech Central
Level 1/477 Pitt St, Haymarket NSW 2000, Australia
Avatar for Cloud Shuttle
Presented by
Cloud Shuttle