Practitioners
Data and AI engineers
Already building with models and ready to move from prompts to agents that act.
All programmes
Agentic AI
Three days building AI agents that take action, from a single agent to a team of them running real workflows — at your office or online, for your team only.
What the three days look like
Every day ends with something running. Nothing is pre-recorded.
Day one
Build a single agent that uses tools
Agent architecture and the OpenAI SDK, then a working agent of your own: memory, tokens, traces and tool calls. By the end of the day your team can see exactly what an agent did and why.
How day one runs
- MorningAgent architecture and the OpenAI SDK
- AfternoonBuild a working agent with memory and tools
- By the endTraces that show what the agent did, and why
OpenAI SDKMemoryTool callsTracing
Day two
Turn one agent into a team of them
Multi-agent design — roles, handoffs, guardrails and tracing across the group — with AutoGen and LangGraph introduced side by side so the trade-offs are clear.
How day two runs
- MorningMulti-agent design: roles and handoffs
- AfternoonGuardrails and tracing across the group
- By the endAutoGen and LangGraph, side by side
AutoGenLangGraphGuardrailsHandoffs
Day three
Put it into the systems you already run
CrewAI and MCP, workflow automation with n8n, and integrations into external systems. The three days close with a hands-on project built against one of your own business use cases.
How day three runs
- MorningCrewAI and MCP
- AfternoonWorkflow automation with n8n
- By the endA project built on one of your own use cases
CrewAIMCPn8nIntegrations
Built for the people who will maintain it
This one is technical — it is built for the people who will own the agents afterwards.
Decision makers
Automation engineers
Own the workflows that agents will plug into, and the failure modes when they do.
Outside the tools
Startup founders
Building the product themselves and need agents working without hiring a team first.
Questions, answered.
What actually happens over the three days?
Day one builds a single tool-using agent. Day two turns it into a multi-agent system with roles, handoffs and guardrails. Day three moves it into production with CrewAI, MCP and n8n, finishing on a project built against one of your use cases.
Can we claim it against our HRDC levy?
Yes. Amast Academy is an HRD Corp registered training provider, so Malaysian employers can claim this programme against their levy — we prepare the submission for you.
How is it priced?
Per cohort rather than per seat, so the cost does not change if you bring twelve people instead of eight. Tell us your team size and we will send a figure.
Is our material safe?
Nothing leaves your control. We work in your environment, on your own files, and agree up front what does and does not go into a tool.
How many people can attend?
It runs best between eight and sixteen. The build exercises need close attention, so this one caps lower than our other programmes.
Does anyone need a technical background?
Yes, for this one. Participants should be comfortable writing code and working with APIs — it is the only programme in the range that assumes it.
Can it be tailored to our processes?
That is the default. We scope against your actual work beforehand, so the exercises use your material rather than generic ones.
Where does it run?
At your office, or online for a distributed team. Either way it is run for your team only — we do not mix cohorts.
What happens afterwards?
Everyone keeps the agents they built, the project code and the workshop materials. We check in after a few weeks to see what reached production.
Talk to us about running this
Tell us your team and your goals. We will recommend the right shape and, for Malaysian employers, prepare the HRDC submission.
Application received.
Thanks for applying — we read every one, and we’ll be in touch about next steps.
AMASTSoftware that runs your operations — built and implemented by a team that stays with you.
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