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Agentic AI for Facebook Marketing

Course Information

  • Sessions 4 days
  • Duration 30 hrs
  • Level Beginner
  • Assessment NA

Venue

Kuala Lumpur: G-3A-02, Corporate Office Suite, KL Gateway, No. 2, Jalan Kerinchi, Gerbang Kerinchi Lestari, 59200 Kuala Lumpur, Malaysia

Learning Outcomes

By the end of the course, learners will be able to:

  • LO1: Develop no-code agentic AI workflows in n8n using triggers, nodes and credentials.
  • LO2: Develop low-code agentic AI workflows with code snippets, API calls, webhooks, memory and custom tools.
  • LO3: Apply agentic AI workflows to real-life use cases, such as customer support, document processing and knowledge-base chatbots, with human-in-the-loop approval.
  • LO4: Test, monitor and secure workflows.

Course Brochure

Download Course Brochure

Prerequisite

This course is for beginners. No prerequisite is required.

Certification

  • Participants who achieve at least 75% attendance will receive a Certificate of Attendance from Tertiary Courses Malaysia.

No Code and Low Code Agentic AI Applications

Course Code: C526

9 Review(s) | Add Your Review

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What's This Course About

No Code and Low Code Agentic AI Applications shows you how to build agentic AI applications with n8n, using visual no-code and low-code approaches instead of traditional programming. AI agents can reason, use tools, connect to business applications and carry out multi-step tasks, and n8n lets you assemble them by connecting nodes on a canvas. The course is designed for business users, operations staff, analysts, IT professionals and entrepreneurs who want to automate work with AI agents without becoming full-time developers.

You will start by developing no-code agentic AI workflows, learning the n8n interface, triggers, nodes and credentials, and building AI agents that read emails and forms, look up information, make decisions and update spreadsheets, CRMs and chat tools. Next you will develop low-code agentic AI workflows, adding small snippets of JavaScript or Python, calling APIs with HTTP requests, using webhooks and giving agents memory and custom tools to handle more complex logic.

The final topic covers real-life applications of agentic AI workflows, such as customer support assistants, lead qualification, document processing, report generation and knowledge-base chatbots, with human-in-the-loop approvals for important actions. Throughout the course you will also learn how to test, monitor and secure your workflows and manage costs. Every topic is hands-on. By the end, you will be able to design, build and deploy practical agentic AI applications using n8n with confidence.

This course is part of our AI training in Malaysia, where you can browse all our AI courses. See more agentic AI training.

Why Take This Course?

  • Hands-On Learning Learn by doing. Every topic is practised hands-on, so you leave with skills you can use at work straight away.
  • Live Coaching Experienced instructors coach you live, answer your questions and guide you step by step.
  • Free Post-Course Consultation Stuck after class? Message your trainer any time for guidance as you apply what you have learned.
  • Always-Updated Materials Materials are refreshed to stay relevant. Log in to our LMS any time to get the latest version.
HRD Corp Claimable

🏦 HRD Corp Claimable

This course is HRD Corp claimable for eligible employers. Grant approval and reimbursement remain subject to HRD Corp requirements, the employer’s available levy and the approved grant details. How the HRD Corp process works →

Course Fee

MYR4,400.00
+ 8% SST

Course Date

Course Time

* Required Fields

Course fees are shown before SST. An 8% SST is included in the estimated total during registration.

Additional Note

Please bring your own laptop for hands-on training. If you don't have laptop, we can provide spare laptop for training use.

Disclaimer: The course dates displayed on our website are tentative and subject to trainer availability. We will confirm the final date after checking with the trainer. You are also welcome to email us your preferred date at sales@tertiarycourses.com.my, and we will do our best to coordinate with the trainer's schedule.

Post-Course Support

  • We may provide consultation related to the subject matter after the course.
  • Please email your queries to sales@tertiarycourses.com.my and we will forward your queries to the subject matter experts and get back to you as soon as possible.

Cancellation & Reschedule Policy

  • We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% to participants.
  • Note: the venue of the training is subject to changes due to class size and availability of the classroom. The minimum class size to start a class is 3 Pax.

Course Details

Course Details

What You'll Learn

Topic 1: Develop No Code Agentic AI Workflows

Topic 2: Develop Low-Code Agentic AI Workflows

Topic 3: Real Life Applications of Agentic AI Workflows

Course Info

Minimum Entry Requirement

Knowledge and Skills

  • Able to operate using computer functions

Attitude

  • Positive Learning Attitude
  • Enthusiastic Learner

Minimum Software/Hardware Requirement

Software:

You will need the following for this course:

Hardware: Windows PC or Mac laptop

How to Apply HRD Corp Funding

This course is HRD Corp claimable for employers registered with HRD Corp, under the HRD Corp Claimable Courses scheme (SBL-Khas). Your company applies for the grant before the class; we submit the training provider claim after it.

  1. Check your levy balance - your company must be registered with HRD Corp and have enough levy balance to cover the course fee.
  2. Request a quotation - contact us for the quotation, course content and trainer profile; you attach these to the grant application.
  3. Apply for the grant in eTRiS before the class - log in to your employer eTRiS account, go to Application > Grant > Apply Grant, choose the scheme HRD Corp Claimable Courses (SBL-Khas), select us as the training provider and this course, add your trainees, attach the quotation, course content and trainer profile, and submit.
  4. Submit in time - for public classes, submit at least 3 calendar days before the class (15 June to 31 December 2026) and at least 14 days before from 1 January 2027; in-house classes need 14 days. The training must start within 90 days of that advance submission period.
  5. Send us the grant approval - once HRD Corp approves the application, email us the grant ID so we can confirm your seats.
  6. Attend the class - trainees sign the daily attendance (T3) form.
  7. Claim after the class - we submit the training provider claim in eTRiS with the attendance and invoice; you then complete the employer claim and sign the JD/14 form (manager level or above). Claims must be submitted within 6 months of the training.

More details: our HRD Corp Claimable Courses page and the HRD Corp employer guidelines.

Job Roles

Job Roles

  • Business Analysts
  • Automation Specialists
  • Operations Managers
  • Citizen Developers
  • IT Professionals
  • Business Professionals

Trainers

Trainers

n8n is one of the platforms Dr. Alfred Ang reaches for most often when building agentic AI quickly. Dr. Ang is a full-stack AI developer, Agentic AI solution architect and corporate trainer, and serves as Chief Technology Officer of Tertiary Infotech Academy Pte Ltd, the Singapore training organisation behind Tertiary Courses. Dr. Ang's n8n projects cover a wide range of real use cases. Two RAG chatbot demos let users upload PDFs or course brochures and then ask a Telegram or web-based AI agent questions answered from those documents. A self-service HR portal handles leave applications with human-in-the-loop manager approval and includes an OpenAI chatbot guarded by input and output guardrails. An inventory forecasting agent runs on a local language model through Ollama to audit stock and predict replenishment, while a stock-analysis dashboard connects to a Telegram AI agent for market questions. Dr. Ang also built an investment advisor chatbot, an email automation workflow adapted for the Tertiary Courses teams in Malaysia and Ghana, and a low-code, self-hosted IoT platform that uses n8n to connect and control Arduino, ESP32 and Raspberry Pi devices. These projects sit within a public GitHub portfolio of more than 300 repositories. Few trainers can show as many working n8n agents across HR, finance, operations and customer service, which is exactly the breadth this course draws on. Many of these workflows were assembled visually in hours rather than weeks, which is the central promise of no-code agentic AI that this course helps learners realise for themselves.

No Code and Low Code Agentic AI Applications turns that collection into a guided build experience. In the first topic, learners develop no-code agentic workflows in n8n using visual nodes, triggers and AI agent blocks, connecting a language model to tools such as email, spreadsheets and chat apps without writing code. The second topic introduces low-code techniques, where small expressions and code nodes extend workflows to transform data, call APIs and apply business logic that visual nodes alone cannot handle. The third topic explores real-life applications of agentic workflows, and here Dr. Ang walks through examples modelled on working builds: a document question-answering chatbot, an approval flow with a human checkpoint, an operations agent that monitors data and raises alerts, and a messaging assistant for customer enquiries. Throughout the course, Dr. Ang emphasises the design decisions that make agents dependable in practice, such as giving each agent a narrow purpose, adding guardrails, logging every run and keeping a person in the loop for consequential actions. The style is hands-on, with participants building and testing their own workflows during class rather than watching slides. Business users, operations staff and aspiring automation builders leave with functioning agents and the confidence to automate further processes at work. Dr. Ang also shows how to self-host or use cloud versions of n8n, how to manage credentials safely and how to monitor executions, so learners can keep their workflows running reliably after the course. Explore Dr. Ang's n8n projects at https://github.com/alfredang.

Review

Customer Reviews (9)

Engaging trainer Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
The training was very practical and hands-on. I could apply what I learned to my work immediately. (Posted on 10/03/2026)
Excellent course Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Very informative and interactive. The small class size meant we got a lot of personal attention. (Posted on 28/01/2026)
Very useful course Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Really enjoyed the training. The examples were relevant and the pace was just right. (Posted on 24/10/2025)
Highly recommended Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
The course content was comprehensive and up to date. The practical exercises were the best part. (Posted on 07/09/2025)
Very satisfied Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Excellent delivery and good balance between theory and practice. Learned a lot in a short time. (Posted on 11/12/2024)

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