AI Agentic Automation Certification
Build Practical AI Agents and Automations in 2 Days
Learn how AI agents and automation work, then use n8n and modern large language models to build workflows around real business processes.
The workshop focuses on implementation. You will learn how to spot work where AI could improve efficiency and output by 2x, 3x, or even 5x to 10x. You will also look at tasks that were difficult or impossible before AI.
14 - 15 September 2026 (Mon, Tue) | 9AM - 5PM | AI365 Hub, Oval Damansara (In-person)
Who Should Attend?
Founders, C-Suite leaders
You want to find practical uses for AI automation across the business and increase output without adding more manual work.
Managers in HR, Marketing, Finance, Operations, and Customer Care
Your team spends too much time handling documents, spreadsheets, email, reports, content, or internal requests. This course shows how to connect those tasks in an automated workflow.
Business professionals and digital consultants
You are responsible for AI adoption and need working n8n examples and implementation patterns, not theory alone.
Beginners, non-engineers, and non-programmers
You do not need a technical background. n8n has a visual, drag-and-drop interface for connecting triggers, actions, apps, and AI models without traditional coding.
Practical Hands-on Projects
HR chat agent
Build an HR specialist that responds when an employee sends a chat message. The agent uses a Google Gemini chat model, keeps track of the conversation with simple memory, and retrieves information from Google Docs before answering. This lab introduces the three parts of an AI agent: a model, memory, and tools.
Receipt to Google Sheets
Create an expense claim workflow that receives a receipt through a form and reads it with AI image analysis. It extracts the restaurant name, date, service charge, and total amount, then records the data in Google Sheets. The lab combines Gemini for OCR with OpenAI for structured information extraction.
Receipt to email
Build another expense claim workflow, this time with email as the final destination. A form receives the receipt, AI analyses the image, and a language model processes the extracted information. The workflow combines the original submission with the AI output, then sends the completed result through Gmail.
Financial report analyser
Turn an uploaded financial report into an AI-summarised HTML dashboard. The workflow reads the PDF, summarises the report, identifies financial ratios, and generates a themed dashboard. It then converts the HTML into a file and returns it to the user as an immediate download from the form completion page.
Restaurant order receipt
Create a workflow that turns a form submission into a structured restaurant order receipt. An AI agent uses an OpenAI chat model and a structured output parser to organise the result. The workflow places the output into an HTML template and displays the finished receipt on the form completion page.
Personalised greeting cards
Generate a personalised New Year greeting card for every customer in a Google Sheet. The workflow reads each customer's name and industry, then uses an image model to create a photorealistic card with relevant visual details and custom text. One workflow run can process the full customer list.
TOPICS COVERED
Day 1 - AI, agent, and automation foundations
Three levels of AI adoption: Understand how enterprises progress from using standalone AI tools to connected automation and agentic workflows.
n8n workflow fundamentals: Learn how the visual workflow builder connects apps and services without traditional coding.
Triggers, nodes, and workflow logic: See how an event starts a workflow and how each connected node carries out the next action.
CO-STAR agent prompting: Define Context, Objective, Style, Tone, Audience, and Response so an AI agent behaves more consistently.
HR chat agent: Build an HR specialist with a Google Gemini chat model, simple memory, and access to information stored in Google Docs.
Expense claim automation: Read uploaded receipts with AI, extract structured information, record it in Google Sheets, and send results through Gmail.
Day 2 - Applied workflows, cost, and deployment
Financial report analyser: Read an uploaded PDF, summarise the report, identify financial ratios, and return a themed HTML dashboard as a download.
Restaurant order receipt: Use an AI agent and structured output parser to turn a form submission into a finished HTML receipt.
Personalised greeting cards: Read a customer list from Google Sheets and generate an industry-specific greeting card for every customer in one workflow run.
Business automation workflows: Build a Telegram assistant for text and voice, validate timesheets, and turn meeting recordings into to-do items in Google Sheets.
Additional workflow patterns: Analyse survey sentiment, scrape websites on a schedule, send alerts, and generate single or multiple images with AI.
AI cost, models, and hosting: Compare subscriptions with APIs, estimate token costs, understand the agentic automation stack, explore Ollama and LM Studio, and review n8n hosting options.
What You Will Learn
Build visual automation workflows
Connect triggers and nodes in n8n, then chain actions together to automate a process without traditional coding.
Create more consistent AI agents
Combine chat models, memory, and tools. Use the CO-STAR framework to define the agent's persona, objective, writing style, tone, audience, and response format.
Turn business inputs into usable outputs
Work with receipts, PDFs, spreadsheets, survey responses, images, and recordings. Extract structured information and send the results to Google Sheets, Gmail, Telegram, downloadable files, or HTML dashboards.
Plan for cost, infrastructure, and deployment
Compare SaaS subscriptions with usage-based APIs. Use token counts to estimate costs, compare models against actual tasks, explore local model options, and understand managed and self-hosted n8n deployments.
REAL PROJECTS. REAL RESULTS.
Internal Knowledge Base Chatbot
AI now handles about 70% of routine customer questions, so the support team can focus on the ones that actually need a human.
Content Marketing Automation
From drafting articles to pushing posts live on social. The whole content flow now runs automatically, with output roughly doubled and performance fully trackable.
Invoice Archiving + Report Generation
Invoices are auto-filed and monthly reports generated without manual work — saving around 40 hours every month and greatly reducing data errors.
Customer Onboarding Automation
New leads now move smoothly from CRM to calendar booking to email follow-ups — helping increase conversion by about 30%.
COURSE DETAILS
KEY TECHNOLOGIES
COURSE FEE
Self-Funded
Kickstart your AI Automation journey
RM 3,200
+8% SST
2 full days of in-person intensive training
Lunch Included (Provided by a Halal-Certified Caterer)
Complete programme materials, tools and templates
Certificate of Completion
3-month post-training WhatsApp group support
Unlimited refresher class access*
Bonus 1: Premium AI Model Tokens (US$100 in Free Credits)
Bonus 2: Three (3) Months of n8n Hosting
HRDC-Claimable
Upskill with your company's HRDC grant
RM 3,500
+8% SST
2 full days of in-person intensive training
Lunch Included (Provided by a Halal-Certified Caterer)
Complete programme materials, tools and templates
Certificate of Completion
3-month post-training WhatsApp group support
Unlimited refresher class access*
Bonus 1: Premium AI Model Tokens (US$100 in Free Credits)
Bonus 2: Three (3) Months of n8n Hosting
Certification + Coaching
Accelerate with personalised mentorship
RM 9,250
+8% SST
Everything in the Certification
Personalised career & AI skills roadmap
4 x 30-min personal coaching sessions with Dr. Lau or Edmund
1-year ongoing guidance for real-world implementation
* Graduates are entitled to unlimited access to refresher classes, subject to an RM300 administrative fee.
Frequently Asked Questions (FAQs)
Is this course suitable for beginners?
Yes. The programme is for business professionals, complete beginners, non-engineers, and non-programmers. n8n uses a visual, drag-and-drop interface. The course covers the basics of triggers and nodes before moving on to AI agents, memory, tools, and hands-on workflows.
Is there any prerequisite?
You do not need programming experience. You only need curiosity, an interest in applying AI to real business processes, and some exposure to ChatGPT or a similar AI tool.
What are the hardware requirements?
A laptop with a reliable internet connection is enough. If you use a company-managed laptop, contact us for the list of websites that may need to be whitelisted.
Is this course HRDC claimable?
Yes. The programme is 100% HRDC-claimable for eligible Malaysian companies, and we will provide the required documents. For HRDC enquiries, WhatsApp us at +6018-2777 989
Will there be a certificate?
Yes. We assess your participation in class and your contribution to the final presentation.
Will I have projects in my portfolio?
Yes. You will work on n8n workflows such as an HR chat agent, receipt OCR, PDF analysis, image generation, a Telegram assistant for text and voice, timesheet validation, and meeting-to-do automation. For each workflow, you will see how it starts, processes information, connects models and tools, and produces a useful output.
YOUR EXPERT TRAINERS
Dr. Lau Cher Han
This Agentic AI Automation certification is designed and led by Dr. Lau, AI engineer, chief data scientist and founder of LEAD.
Dr. Lau is a highly sought-after trainer in AI, data science and emerging technology, with a strong track record of training leaders and individuals from OCBC Bank, TNB, Intel, IBM, Dell, PLUS, Shell and F&N.
In 2025 alone, he trained over 1,200+ professionals across more than 200 organisations, helping them adopt AI technologies and implement real-world automation solutions.
Find out more about Dr. Lau Cher Han on:
YeeSheng, Choon
YeeSheng Choon, CFP®, is a Bank Negara approved Financial Adviser Representative who specialises in turning complex, regulation heavy workflows into structured, automated systems.
At LEAD, YeeSheng focuses on practical AI automation and using AI agents to read information, make decisions and trigger actions with human in the loop control.
He helps professionals build automations that are efficient, auditable and compliant, tightly aligned with real business outcomes in industries where trust and precision matter.
Find out more about YeeSheng on:
About LEAD
LEAD was founded in 2015 by Dr. Lau Cher Han with a simple mission: to bridge the gap between education and industry, ensuring that learning goes beyond theory and can be meaningfully applied in real-world situations.
Eleven years on, LEAD has grown into one of Malaysia's most practice-oriented technology academies, specialising in professional training across areas such as Artificial Intelligence, Data Science, Automation, and Vibe Coding.
Guided by the philosophy of "practical application over empty theory," Dr. Lau and his team have developed a hands-on learning approach that places real implementation at the centre of the learning experience. The goal is to help individuals and organisations stay ahead and evolve confidently in an AI-driven world.
To date, more than 15,000 individuals have been trained, and over 300 corporate clients have been served. Across its online and in-person programmes, LEAD works with professionals, IT specialists, business leaders, and government agencies — continuously empowering digital transformation across industries in Malaysia.
TRUSTED BY INDUSTRY LEADERS
AI Agentic Automation Interest Form
Kindly fill in the form and our course coordinator will contact you via WhatsApp.
Kindly provide the information below for HRDC application processing.
For Programme Enquiries: [email protected]
For Corporate Training: [email protected]
Learn how the pieces of AI automation fit together
AI automation connects business inputs, APIs and data formats, an orchestration tool such as n8n, AI models, agent memory and tools, and output channels such as Gmail, Microsoft Teams, Telegram, Google Sheets, and downloadable files.
During the two-day workshop, you will build n8n workflows that:
Respond to chat messages using context, memory, and tools
Read receipts, PDFs, spreadsheets, images, and recordings
Extract structured data and make rule-based decisions
Create reports, dashboards, personalised images, and action lists
Send results to the business tools your team already uses
Estimate token costs, compare access models, and review hosting options
By the end of the programme, you will know what to automate, how to structure an AI workflow, and how models and tools work together in a business system.
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