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Garranto Academy
Generative AI & Prompt Engineering⭐ 4.8 Rating

Agentic AI for developers

Gain practical, hands-on skills in Agentic AI for developers to drive innovation, automation and measurable impact in your organisation. Designed for developers in Malaysia who want to build intelligent, autonomous AI workflows.

5
Days
8
Hours/Day
Live
Training
Agentic AI for developers

Course Information

Why Choose Garranto Academy for Your Agentic AI for Developers Training?

Choose Garranto Academy for your Agentic AI for Developers training and benefit from expert-led instruction, hands-on exercises, and real-world case studies tailored to today's industry demands. Our curriculum is designed by practitioners with deep Agentic AI & Autonomous Systems expertise, ensuring you gain immediately applicable skills backed by globally recognised frameworks.

Course Overview

Master Agentic AI system design with our Agentic AI for Developers course in Malaysia. Learn to build autonomous multi-agent workflows using LangGraph, Python A2A patterns, and n8n automation with hands-on labs and real-world integration.

Course Objectives

  • Understand agentic AI frameworks, autonomous agents, and multi-agent systems.
  • Design and build AI agents capable of goal-directed, multi-step task execution.
  • Integrate tools, memory, and planning into agentic AI architectures.
  • Apply agentic AI to automate complex business workflows.
  • Evaluate safety, reliability, and governance of autonomous AI systems.
  • Explore emerging platforms: LangChain, AutoGen, CrewAI, and others.

Prerequisites

  • Familiarity with generative AI and large language models (LLMs).
  • Basic Python programming or scripting experience.
  • Understanding of API integration concepts.

Course Outlines

Module 1: Foundations of Agentic AI

  • What are AI agents? Architecture and key components
  • Differences between chatbots, copilots, and autonomous agents
  • Overview of popular agentic frameworks and platforms

Module 2: Designing Agent Architectures

  • Single-agent vs multi-agent systems
  • Tool use, function calling, and external API integration
  • Memory systems: short-term, long-term, and episodic

Module 3: Planning & Reasoning in Agents

  • ReAct, Chain-of-Thought, and Tree-of-Thought frameworks
  • Task decomposition and goal-directed planning
  • Handling uncertainty and error recovery

Module 4: Building Multi-Agent Systems

  • Agent orchestration and communication protocols
  • Role assignment and collaborative agent workflows
  • Hands-on: building a multi-agent automation pipeline

Module 5: Safety, Governance & Deployment

  • Risks of autonomous AI: misuse, hallucination, and runaway actions
  • Human-in-the-loop controls and oversight mechanisms
  • Deploying and monitoring autonomous agents in production

Course Outcomes

  • Build autonomous AI agents that execute multi-step tasks independently.
  • Design multi-agent systems for complex business automation.
  • Implement tool use, memory, and planning in agentic architectures.
  • Govern autonomous AI systems with appropriate safety controls.
  • Deploy and monitor agentic AI solutions in production environments.

Benefits of Agentic AI for Developers

Completing the Agentic AI for Developers programme at Garranto Academy equips you with in-demand competencies, enhances your professional credibility, and accelerates career growth. Participants gain practical experience, access to a peer network of professionals, and the confidence to apply new knowledge directly in their organisations.

What You'll Learn

Practical hands-on experience
Industry-recognized certification
Real-world case studies
Expert-led live sessions
Comprehensive study materials
Post-training support

Facilities & Equipment

Virtual Training

  • Electronic materials
  • IT support for software & hardware
  • Administrative support

Face-to-Face Training

  • Air-conditioned classroom
  • Meals & refreshments provided
  • Projector & smart board
  • Stationery provided

By enrolling in this course, you agree to our terms and conditions.

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