Professional Training · Generative AI & Agentic AI Track
Agentic AI Systems Design
Learn to architect multi-agent AI systems that plan, reason and act autonomously across enterprise workflows. Over three days you will design agent orchestration patterns, tool-use interfaces and guardrails, moving from prototype to a production-ready agentic system.
Authorised Instructors
Eric Tai
Head, Technology
- Security – Specialty
- DevOps Engineer – Professional
- Solutions Architect – Professional
- CloudOps Engineer – Associate
- +4 more
Hui Liang
Chief Digital Officer
- Security – Specialty
- Generative AI Developer – Professional
- Solutions Architect – Professional
- CloudOps Engineer – Associate
- +5 more
Any of these AWS Authorised Instructors may deliver this class, depending on the scheduled run. Trainers confirmed on enrolment.
Who Should Attend
- AI Engineers: Engineers designing autonomous or semi-autonomous agent workflows.
- Solutions Architects: Architects extending existing systems with agentic capabilities.
- ML Engineers: Practitioners moving from single-model inference to multi-step agent pipelines.
- Platform Engineers: Engineers building the infrastructure agents run on.
- Technical Leads: Leads scoping agentic AI initiatives for their teams.
Prerequisites
This is an advanced course. To attend, you should have:
Working knowledge of Python and REST APIs.
Familiarity with large language models and prompt-based interfaces.
Basic hands-on experience with a cloud platform.
Learning Objectives
In this course, you will learn to:
Design agent architectures: Structure planning, memory and tool-use loops for autonomous agents.
Orchestrate multi-agent systems: Coordinate specialised agents to complete complex, multi-step tasks.
Integrate enterprise tools: Connect agents securely to internal APIs, databases and systems.
Apply guardrails: Constrain agent behaviour with validation, approval steps and limits.
Evaluate and iterate: Test agent reliability and improve performance in production.
Certification
This course does not map to a vendor certification exam. It builds the architectural judgement to design and ship agentic AI systems responsibly, and forms the foundation of My Code Campus’s forward-deployed engineering practice. Every participant receives a My Code Campus certificate of completion.
In-person in Kuala Lumpur or live virtual. Team & enterprise rates available.
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