Stop merely using AI. Start building agents.
Across Day One and Day Two, you move from understanding what makes an AI agent work to designing complete agentic workflows that can execute real business tasks.
Explore AI Agents MasteryAgentic Foundations
Day One gives you the mental model and architecture behind agents, then turns that understanding into your first properly configured build.
AI tools vs. AI agents
Understand the difference between asking AI for an answer and delegating an outcome to a system that can reason, act, and follow through.
What makes an agent work
See how goals, instructions, memory, context, tools, permissions, and verification fit together inside a dependable agent.
Configure behaviour clearly
Define roles, responsibilities, boundaries, tone, decision rules, and success criteria so your agent behaves the way your business needs.
Build from zero
Turn the foundations into a working first agent, connect the right capabilities, and test the output instead of stopping at theory.
Agentic Workflows
Day Two goes beyond one agent. You learn how to connect agents, tools, decisions, approvals, and business processes into a functional AI team.
From task to system
Break business outcomes into triggers, steps, decisions, handoffs, tools, and completion checks that an AI team can reliably follow.
Content workflows
Design agents that research, create, refine, repurpose, and distribute content while preserving your strategy and voice.
Development and delivery
Apply agentic workflows to software development, research, operations, task execution, and quality assurance.
Support and management
Build systems for member support, community management, information routing, escalation, and consistent follow-through.
Multi-agent collaboration
Coordinate specialised agents with clear roles and approval points so the whole system works as one capable team.
Turn the skill into value
Use agents to save time and operating costs in your own business, or package the capability as a service for other businesses.
The foundation
You understand the system, define the agent, configure its behaviour, and complete your first build.
The operating model
You connect agents and tools into workflows that can support real business functions and measurable outcomes.
By the end, AI stops being a chatbot and becomes part of how your business operates.
That is the journey from agentic foundations to a functional AI team.