Course Overview
This is a 3-day course focused on understanding what AI agents are and how to build your first working agent. It covers the transition from single agents to teams of specialized agents (multi- agent systems), and finally guides participants on turning these agent concepts into usable production workflows and real applications.
Duration:
3 Days
Study Mode:
Offline (Face-to-Face)
Location:
Menara Bangkok Bank
Intakes:
Monthly
Course Fee:
Price on Application
Small Team (5+ PAX):
Price on Application
Who Is This For?
- Developers
- Data Scientists
- AI Engineers
- Automation Engineers
- Startup Founders
What It Includes?
- Covers the foundations of Agentic AI, agent architecture, OpenAI SDK setup, single-agent development, memory, tokens, traces, and tool-enabled agents.
- Focuses on multi-agent systems and orchestration, including multi-agent design, agent roles, guardrails, handoffs, tracing, and an introduction to AutoGen and LangGraph.
- Explores production workflows and automation through CrewAI fundamentals, MCP concepts, workflow automation with n8n, external integrations, business use cases, and a final hands-on project.
Learning Outcomes
By the end of this programme, participants will be able to:
- Understand the fundamentals of Agentic AI
- Build single-agent systems.
- Add memory and tool usage to agents.
- Design and implement multi-agent systems.
- Use OpenAI SDK for agent development.
- Understand AutoGen, LangGraph, CrewAI, and MCP.
- Automate AI workflows using n8n.
- Build practical agentic AI solutions for real-world scenarios.
Methodology
- Interactive lectures to understand concepts.
- Hands-on practical sessions with AI tools.
- Real-world case studies and examples.
- Group discussions and collaborative learning.
- Q&A sessions for participant engagement.
Course Module
Day 1: Covers the foundations of Agentic AI, agent architecture, OpenAI SDK setup, single-agent development, memory, tokens, traces, and tool-enabled agents.
Day 2: Focuses on multi-agent systems and orchestration, including multi-agent design, agent roles, guardrails, handoffs, tracing, and an introduction to AutoGen and LangGraph.
Day 3: Explores production workflows and automation through CrewAI fundamentals, MCP concepts, workflow automation with n8n, external integrations, business use cases, and a final hands-on project. End of Training & Feedback
Enquiry Form
Submit the enquiry form below, and our expert consultants will assist you in taking the first step toward your professional training journey.
+60 3-5888-8242
info@amast.academy
Unit 1-30-7, Menara Bangkok Bank Berjaya Central Park 105 Jalan Ampang 50450 Kuala Lumpur Wilayah Persekutuan Kuala Lumpur Malaysia
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