200 Mary Street, Brisbane

Level 16, 200 Mary Street, Brisbane, Australia, 4000

The 200 Mary Street business centre is located only 125 metres from the Brisbane GPO, strategically located within Brisbane’s premier financial district known as ‘the Golden Triangle’. Situated on Level 16 and boasting views over the Brisbane River, hinterland and the CBD, the centre provides the ideal setting to showcase your business in a contemporary environment with fully-equipped work space. 200 Mary Street is immersed in Brisbane’s city life with everything at your doorstep, from key transport links to restaurants and bar as well as hotels. The centre is serviced by the City Cat service and Central Train Station, which is less than five minutes walk.

Subcategories (10)

Explore Our Courses

DeepSeek for Advanced AI Agents and Autonomous Systems

14 Hours

Ethics and Governance of Autonomous AI Agents

14 Hours

AI-Powered Automation: From No-Code Workflows to Autonomous Agents

21 Hours

Building Secure and Ethical AI Agents

14 Hours

Edge & Lightweight Agents: On-Device Agentic Workloads with Python

21 Hours

Multi-Modal AI Agents: Integrating Text, Image, and Speech

21 Hours

AI-Powered Personal Assistants: Building Smart AI Agents

14 Hours

LLM-Based AI Agents for Enterprise Automation

21 Hours

AI Agents for Robotics and Human-AI Collaboration

21 Hours

Multi-Agent Systems & Coordination in Python

28 Hours

AI Agents for Financial Services and Fraud Detection

14 Hours

AI Agents for Customer Service

14 Hours

AI Agents for Healthcare and Diagnostics

14 Hours

Next-Gen AI Assistants: From Design to Deployment

21 Hours

Open AI Agent Development with Mistral AI

14 Hours

Python for Autonomous Agents: Tooling, SDKs & Orchestration

21 Hours

Agentic Development with Gemini 3 and Google Antigravity

21 Hours

Agentic AI Engineering with Python — Build Autonomous Agents

21 Hours

Deploying AI Agents in Production Environments

14 Hours

Reinforcement Learning for AI Agents

14 Hours

Enhancing AI Agents with Agentic Capabilities

14 Hours

Getting Started with Antigravity: An Introduction to Agent-First IDEs

14 Hours

Developing Multi-Agent Systems

14 Hours

Next-Gen Multi-Agent Systems Using Amazon Bedrock AgentCore

14 Hours

Agentic AI in Multi-Agent Systems

14 Hours

AI Agents for Business Automation

14 Hours

Antigravity for Web Automation & Browser-Based Tasks

21 Hours

Building Fully Managed AI Agents with AgentCore: From Concept to Production

14 Hours

Mastra Debugging, Evaluation & Quality Assurance for AI Agents

21 Hours

Building Smart Agents with Vertex AI Agent Builder & RAG

14 Hours

Advanced Mastra Integrations: APIs, Tools, Enterprise Data & External Systems

21 Hours

Interactive AI Agents: AgentCore Memory, Code Interpreter & Browser Tool in Action

14 Hours

AI Agents in Gaming: From NPCs to Strategic AI

14 Hours

LLMs and Agents in DevOps Workflows

14 Hours

Testing & Verifying Agent-Driven Code: Quality Assurance in Antigravity

14 Hours

Autonomous Decision-Making with Agentic AI

14 Hours

Advanced Antigravity: Feedback Loops, Learning & Long-Term Agent Memory

14 Hours

Designing Autonomous Agents for Real-World Applications

21 Hours

Securing AI Agents: Identity, Observability, and Compliance with AgentCore

14 Hours

Mastra Workflow Automation & Multi-Agent Orchestration

21 Hours

Accelerating AI Agent Deployment with AgentCore Runtime & Gateway

14 Hours

Building Coding Agents with Devstral: From Agent Design to Tooling

14 Hours

Building Your First Chatbot: AI Agents in Action

14 Hours

Mastra Ops & Production Engineering: Deploying and Scaling AI Agents

21 Hours

Managing Agent Workflows in Google Antigravity: Orchestration, Planning and Artifacts

14 Hours

Introduction to AI Agents

14 Hours

Antigravity for Developers: Building Agent-First Applications

21 Hours

Enterprise Agentic AI with Amazon Bedrock AgentCore

14 Hours

Building LLM Agent Systems with AutoGen

21 Hours

AI Agent Development with Mastra

14 Hours

Agentic AI Unleashed: Crafting LLM Applications with AutoGen

7 Hours

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Provisional Upcoming Courses (Require 5+ participants)

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