Professional AI Engineering Certification
Build Real AI Systems: From Prototype to Production in 2 Days.
A practical, 2-day intensive certification to architect and deploy AI-powered applications using Python, LLMs, RAG, and multi-agent systems — designed for engineers, developers, and technical leaders.
15-16 Aug 2026 (Sat, Sun) | 9AM - 5PM | AI365 Hub, Oval Damansara (In-person)
Who Should Attend?
Professionals who want to break into AI
Who are curious about AI and want to go beyond just using ChatGPT to actually building with it.
Team leads & managers driving digital transformation
Who need to understand how AI systems work under the hood to make better decisions for their teams.
Entrepreneurs & business owners
Who want to build AI-powered products, tools, or internal systems to gain a competitive edge.
Career switchers & working professionals exploring new paths
Who want to future-proof their career by gaining practical, job-ready AI engineering skills. No coding background needed.
Practical Hands-on Projects
AI-Powered API Service
Build and deploy a machine learning model as a working API that other applications can connect to. Turn your AI from a notebook experiment into a real, usable service that your team or clients can access.
In-House Knowledge Q&A System
Create a Retrieval-Augmented Generation (RAG) system that answers questions using your company's own documents and data. Think of it as having an AI expert that knows your business inside out.
Multi-Agent AI Application
Design and build a system where multiple AI agents work together using MCP to coordinate tasks, make decisions, and deliver results. This is the architecture behind today's most powerful AI products.
TOPICS COVERED
Day 1 - Foundations of AI Engineering
AI system architecture and engineering principles
Python programming for AI development
Machine learning and NLP foundations
Structuring data and building AI pipelines
Deploying machine learning models as APIs
Hands-on:
Build an AI-powered service
Link it to external systems
Day 2 - Building AI-Powered Applications
LLM landscape and model selection
Prompt engineering and behaviour control
Retrieval-Augmented Generation (RAG) for knowledge systems
Fine-tuning for specialised use cases
Designing automated AI workflows, cost and token optimisation
Hands-on:
Build a multi-agent application with MCP
An in-house RAG Q&A system
Final assessment:
Design and present a production-ready AI application
What You Will Learn
Architect and Build AI Systems
Understand how AI components fit together and learn to design systems that are ready for real-world deployment, not just experiments.
Deploy AI Models as Usable Services
Turn machine learning models into APIs that other applications can use, so your AI actually works inside your business operations.
Build Knowledge Systems with RAG
Create AI applications that can search, retrieve, and answer questions from your company's own documents and internal data.
Design Multi-Agent AI Applications
Build systems where multiple AI agents coordinate and work together to handle complex tasks automatically.
COURSE DETAILS
KEY TECHNOLOGIES
COURSE FEE
Self-Funded
Kickstart your Professional AI Engineering journey
RM 3,200
+8% SST
2 full days of in-person intensive training
Complete programme materials, tools and templates
Certificate of Completion
3-month post-training WhatsApp group support
Unlimited refresher class access
$100USD worth of tokens for the premium LLM model.
HRDC-Claimable
Upskill with your company's HRDC grant
RM 3,500
+8% SST
2 full days of in-person intensive training
Complete programme materials, tools and templates
Certificate of Completion
3-month post-training WhatsApp group support
Unlimited refresher class access
$100USD worth of tokens for the premium LLM model.
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
Frequently Asked Questions (FAQs)
Is this course suitable for non-technical people?
Yes. This course is designed to take you from the basics all the way to building real AI systems. No technical background is required. We guide you step by step through everything, including Python programming fundamentals.
Is there any prerequisite?
No deep AI or coding background needed. Just bring a strong curiosity, willingness to learn through hands-on building, and some basic familiarity with using AI tools like ChatGPT or similar.
What makes this different from the AI Agentic Automation course?
The AI Agentic Automation course focuses on building no-code AI workflows using tools like n8n. This AI Engineering course goes deeper into the technical side, covering Python programming, machine learning, LLMs, RAG, and multi-agent systems. You will learn to build AI applications from the ground up.
What are the hardware requirements?
A laptop that can connect to the Internet is sufficient. Please contact us for the list of websites to whitelist if you are using a company laptop.
Is this course HRDC claimable?
Yes, this programme is 100% HRDC-claimable for all eligible Malaysian companies. We will provide all the necessary documents. For more HRDC enquiries, feel free to WhatsApp us: +6018-2777 989
Will there be a certificate?
Yes, and the evaluation is your participation during class and your contributions during the final group presentations.
Will I have projects in my portfolio?
Absolutely. You will walk away with working AI projects including an API service, a RAG-powered knowledge system, and a multi-agent application. These are real, deployable systems you can showcase to employers or implement in your organisation.
Is there post-training support?
Yes. You will be added to a 3-month WhatsApp support group where you can get guidance on refining your projects, building production-ready systems, and implementing what you learned into your actual work environment.
YOUR EXPERT TRAINERS
Dr. Lau Cher Han
This Professional AI Engineering 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:
Edmund Hee
Edmund is a CTO and data scientist with extensive experience at AirAsia and multiple tech startups.
At LEAD, he designs and delivers hands-on programmes in Data Science 360, AI Engineering, AI Automation, and AI Analytics Certification, co-trained with Dr. Lau.
With a strong blend of corporate and startup exposure, Edmund brings practical, real-world insights into every session. He has trained teams from organizations such as JPAN Sabah, MaGIC, Hitachi, and UTHM.
Find out more about Edmund 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
Professional AI Engineering Certification 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]
Build Real AI Systems: From Chatbots to Agents in 2 Days.
Stop just talking about AI. Start building it. In this intensive, hands-on programme, you will design and deploy real AI applications, from intelligent chatbots to autonomous agents, using the tools that run in production.
Instead of just "learning about AI", you'll:
Design AI systems using proven architecture patterns and engineering principles
Build in Python and deploy machine learning models as working APIs
Control model behaviour with prompt engineering across ChatGPT and Claude
Store and retrieve knowledge at scale with RAG on Pinecone vector databases
Build multi-agent applications with LangGraph and MCP that reason and act on real tasks
Extend agent capabilities with skills.md and fine-tuning for specialised use cases
Run powerful LLMs locally on your own machine with LM Studio
Cut cost and token usage while keeping your systems fast and reliable
By the end, you won't just have theory. You will walk away with working AI systems, real portfolio projects, and the confidence to engineer AI solutions in your organisation.
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