Agentic AI in Practice

5-Day Comprehensive Development Program

From AI fundamentals to deploying autonomous agents that solve real business problems. This intensive bootcamp takes you through the entire agentic AI lifecycle — theory, hands-on development, and business innovation.

Duration

5 days (3 modules)

Format

In-person / Hybrid

Certification

Certificate of Completion

Prerequisites

Basic AI literacy recommended

Day 1

AI Fundamentals & Agent Development

Build a rock-solid foundation in AI concepts and agent architecture. By the end of Day 1, you will understand how LLMs work, how to engineer prompts effectively, and how to build your first AI assistant.

AI Foundations: Generative AI, LLMs, NLP — what they are and how they work
Key AI building blocks: RAG (Retrieval-Augmented Generation), Agents, Fine-Tuning
Prompt Engineering Mastery: From simple prompts to complex chain-of-thought
Agent Architecture: Understanding agent loops, tools, memory, and planning
Hands-on lab: Build your first AI assistant with local tools

Key Outcomes

  • Confidently explain LLMs, RAG, and agent architectures
  • Write advanced prompts using chain-of-thought techniques
  • Build a working AI assistant from scratch
Days 2–4

AI Agent Development Practice

The heart of the bootcamp. Three intensive days of building, testing, and deploying AI agents using industry-standard frameworks. You will work with LangChain, CrewAI, and AutoGen to create multi-agent systems that can reason, use tools, and collaborate.

Deep dive into agent frameworks: LangChain, CrewAI, AutoGen
Building multi-agent systems: Coordination, delegation, and task routing
Tool integration: Connect agents to APIs, databases, and web services
Memory & State Management: Persistent context across agent interactions
Agent observability: Logging, monitoring, and debugging agent behaviours
Safety & Guardrails: Implementing boundaries, ethical constraints, and fallbacks
Capstone project: Design, build, and deploy a production-ready AI agent
Day 5

AI-Powered Business Innovation & Case Studies

The final day bridges technical skills with business strategy. Study real-world case studies, measure ROI, and present your capstone agent solution. Leave with a production-ready project you can deploy in your organisation.

Real-world case studies: Manufacturing, finance, healthcare, logistics
ROI measurement: Quantifying the business impact of agentic AI
Scaling agents from prototype to production
Governance & Risk: Building responsible AI systems that comply with regulations
Future roadmap: What's next in autonomous AI and how to prepare
Final presentations: Showcase your capstone agent to peers and instructors

Investment

Public Rate

Standard enrollment

RM8,000

Member Rate

Corporate Champion members

RM5,900

* Fees are HRDF claimable. Group discounts available for teams of 3 or more.

Ready to Build Agents That Deliver?

Enrol in the next cohort or book a private session for your team. Spaces are limited to ensure quality mentorship.