Build AI Powered Workflows and Agents Using n8n

Name: Build AI Powered Workflows and Agents Using n8n
Brand: Generative AI
SKU: DO-AIN8N

RM3,200.00

RM2,600.00

Build AI Powered Workflows and Agents Using n8n is a practical, instructor-led program designed to help professionals design, build, and deploy AI-driven automations without the need for deep coding expertise. As organizations increasingly adopt Generative AI to enhance efficiency and customer experience, this course equips learners with the skills to turn AI capabilities into working, scalable workflows.

Generative AI tools such as ChatGPT, Claude, Gemini, and Hugging Face have transformed how content is created and decisions are supported. However, real business value is unlocked when these tools are orchestrated into automated workflows that connect data, applications, and actions. This course bridges that gap by combining AI fundamentals with hands-on automation using n8n, a powerful open-source no-code and low-code automation platform.

Over two days, participants progress from understanding AI and automation concepts to building real-world AI-powered workflows and agents. The program balances conceptual clarity with practical implementation, ensuring learners can confidently apply what they learn in their own organizations.

Training Duration: 2 Days

Certificate Of Completion Available
Group Private Class
VILT Class Available
HRD Corp SBL-Khas Claimable

Artificial Intelligence (AI) is rapidly transforming the way organizations work, enabling automation, enhanced decision-making, and personalized customer experiences. Generative AI (GenAI) — such as ChatGPT, Claude, Gemini, and Hugging Face models — has opened new opportunities for businesses to leverage natural language processing, content creation, and intelligent agents without requiring deep coding expertise.

This course introduces participants to AI and GenAI fundamentals before exploring n8n, a powerful open-source automation tool. Participants will learn how to design, build, and deploy AI-powered workflows and agents using n8n’s no-code/low-code platform, integrating tools like OpenAI, Hugging Face, Slack, Google Workspace, and CRMs.

The program combines theory, hands-on practice, and a capstone project, preparing learners to confidently apply AI-driven automations in their organizations.
By the end of this course, participants will:

Understand the fundamentals of AI, Generative AI, and common AI tools.

Explore use cases of AI agents and no-code automation platforms.

Build code-free workflows in n8n.

Integrate AI services (ChatGPT, Hugging Face, Gemini, etc.) into n8n.

Design and deploy AI-powered agents for customer support, analytics, and reporting.

Apply governance, security, and scaling practices to automation workflows.

Complete a capstone project demonstrating end-to-end AI automation.

Utilize GPT to simulate real-world customer conversations, managing objections and rejections.

Critically assess the quality and quantity of data used in GPT model training to ensure accurate and reliable outputs.
This course is ideal for professionals who want to leverage AI and automation without needing to write code, especially those involved in business operations, digital transformation, and customer engagement. Suitable participants include:

Business Analysts looking to automate workflows and reports without technical complexity

Digital Transformation Managers aiming to drive innovation using AI tools and no-code platforms

Customer Experience Teams seeking to build AI chatbots or automate customer service processes

Operations and Process Managers interested in streamlining repetitive tasks and improving efficiency

Marketing and CRM Executives exploring automation for email campaigns, sentiment analysis, or lead qualification

Project Managers needing lightweight automations for reporting, reminders, or task delegation

SME Owners and Entrepreneurs wanting to automate business operations affordably

Anyone with zero to minimal coding background who wants to get hands-on with real-world AI integrations

No programming experience is required — just a curiosity to explore the future of AI-powered productivity through n8n and Generative AI tools.
Module 1: Introduction to AI & Generative AI

What is AI? Types of AI (Narrow, General, Generative)

Generative AI tools overview (ChatGPT, Gemini, Claude, Hugging Face, GitHub Copilot)

AI use cases in automation and business operations

Hands-on: Explore AI chatbots and text generation examples

Module 2: Understanding AI Agents & No-Code Automation

What are AI agents? (single vs. multi-agent systems)

Code-free automation tools: n8n vs. Zapier vs. Make

Role of automation in modern organizations

Hands-on: Identify processes for automation in participants’ workplaces

Module 3: Getting Started with n8n

Introduction to n8n: features, nodes, and triggers

Cloud vs. self-hosted setup

n8n interface walkthrough

Hands-on: Build a simple workflow (email → Slack notification)

Module 4: Data Handling & Transformation in n8n

Understanding data in workflows (JSON, CSV, APIs)

Transformation nodes: Set, Merge, Function

Error handling, monitoring, and debugging

Hands-on: Create a data-cleaning workflow with n8n

Module 5: AI Integrations with n8n

Connecting n8n to OpenAI, Hugging Face, and other APIs

Using GenAI for text summarization, classification, and Q&A

Hands-on: Automate customer feedback sentiment analysis

Module 6: Building AI Agents in n8n

Designing workflows for single and multi-agent systems

AI agents for support, analytics, and task delegation

Hands-on: Build an AI-powered customer support bot

Module 7: Governance, Security & Scaling AI Automations

Access controls and API authentication

Workflow logging and monitoring

Scaling n8n automations for enterprise use

Hands-on: Secure a workflow with API key authentication

Module 8: Capstone Project – AI Automation in Action

End-to-end project integrating AI + automation

Example challenges:

Automated lead qualification

AI-powered report generation

Intelligent email assistant

Group project design, build, and presentation

Frequently Asked Questions

What is Responsible AI in a GRC context?

Responsible AI refers to implementing artificial intelligence systems with governance controls, risk management processes, and compliance measures to ensure transparency, fairness, and accountability.

Who should attend a Responsible AI for GRC course?

This course is suitable for risk, compliance, audit, IT governance professionals, and executives responsible for overseeing AI adoption within organizations.

What regulatory frameworks are covered in this course?

The course covers frameworks such as the NIST AI Risk Management Framework, EU AI Act, Malaysia’s AIGE guidelines, and PDPA-related considerations.

What AI risks are addressed in this program?

The course addresses bias, explainability limitations, hallucinations, cybersecurity vulnerabilities, supply chain exposure, and sustainability risks.

How does this course help with AI governance design?

Participants learn how to structure AI governance models, assign ownership roles, define RACI matrices, and integrate AI controls into enterprise risk management frameworks.

Is this course HRDC Claimable?

Yes. This course is HRDC claimable, subject to HRDC approval and company eligibility requirements.

Can this course be customized for our organization?

Yes. The course can be tailored to reflect your organization’s industry regulations, risk appetite, governance structures, and digital transformation initiatives.

Does this course include practical policy drafting exercises?

Yes. Participants will draft policies, audit checklists, and GenAI usage guidelines aligned with governance and compliance requirements.

Build AI Powered Workflows and Agents Using n8n

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