AI Practitioner to AI Architect
Five in-house programmes in two tracks: business staff with no coding, and IT, data and engineering staff.
Choose a level
Which level fits your team?
Business track, no coding
Technical track
- Level 4
AI Integrator
IT needs to connect AI to your systems - Level 5
AI Architect
Technical leads must design and sign off AI systems
AI Developer
Your developers write code with AI assistantsTechnical track check. Can they write a short script? Have they called an API? Do they look after company systems or data? Two or more yes: start at AI Integrator.
Business track, no coding
Levels 2 and 3: AI Practitioner and AI Specialist
Level 2 · Business track
AI Practitioner
For staff who already use AI and want dependable results in their team's work. No coding.
From RM 12,500 15 hours of training
What your team will learn
Module 1Clean and qualify data
3 hours
Find and fix the duplicates, gaps and inconsistencies that lead AI to wrong answers, and agree which documents AI should draw on.
Module 2Analyse with AI
3 hours
Ask questions of your own data in plain language, in Copilot in Excel, Gemini in Sheets or Power BI, and check the answer before it reaches a manager.
Module 3Prompt assistants and agents
3 hours
Know when a task needs a chatbot, an assistant that answers from your documents or an agent, and set up a team assistant in Custom GPTs, Claude Projects or Gemini Gems.
Module 4Build and automate with agents
4 hours
Shortlist your department's best automation ideas, build a simple workflow in Power Automate or Zapier and a first agent in Copilot (Agent Builder or Copilot Studio) or Gemini (Gems), depending on your licences.
Module 5Monitor and govern
2 hours
Review what your agent does, keep a checklist for when it goes wrong and agree your team's rules on approved tools and data.
What participants walk away with
Who it’s for
Analysts and HR, finance and operations staff
Work with reports, data and documents every week.
What participants need
Each participant needs a laptop and their work account for the AI tool your company uses. Building an agent needs Copilot Studio or Agent Builder in Microsoft 365 Copilot, or a paid plan of your chosen tool; automations need Power Automate or Zapier. We check licences in the discovery call.
Level 3 · Business track
AI Specialist
For the people who build AI tools their colleagues depend on.
From RM 14,500 15 hours of training
What your team will learn
Module 1Data pipelines and knowledge bases
3 hours
Combine data from several sources into one clean set, organise documents so AI can find them and test whether the right answers come back.
Module 2Prompts your colleagues can rely on
2 hours
Write system prompts with a clear role, safety limits and a fallback, and test them against the cases that break them.
Module 3Assistants that answer from your documents
3 hours
Build assistants that answer from your organisation's documents, check them against the source and add transcription and image analysis.
Module 4Automations ready for daily use
4 hours
Build multi-step automations across three or more apps, with conditions, error handling and alerts, and agents ready to roll out to staff.
Module 5Monitor at scale
3 hours
Keep a set of test questions and re-run it after every change, set up usage dashboards and alerts for errors and misuse and keep audit logs that support your governance rules.
What participants walk away with
Who it’s for
Digital and operations leads
Own the AI tools their department uses.
Process improvement staff
Turn repeatable work into automations.
What participants need
Maker access in Copilot Studio, Power Automate or Zapier (or your company’s chosen platform), and an IT contact who can grant the access needed for monitoring and audit logs.
Technical track
Levels 4 and 5: AI Integrator and AI Architect, plus AI Developer
Level 4 · Technical track
AI Integrator
For IT, data and engineering staff. Connect AI securely to the systems you already run, in code and in low-code tools.
From RM 24,000 24 hours of training
What your team will learn
Module 1Connect AI with MCP
3 hours
MCP is a standard way to connect AI to data and apps. Choose the MCP servers that fit your use case and data sensitivity, connect them to your approved AI assistant and build one small MCP server over an internal API.
Module 2Security for builders
3 hours
Set up sign-in, permissions and audit logs, keep keys and passwords out of code and prompts and defend against prompt injection (hidden instructions in a document that try to take over the AI).
Module 3Workflows in n8n
6 hours
n8n is a visual automation tool. Build workflows that chain three or more applications, AI models and MCP servers, with error handling, retries, monitoring and alerts, and keep a library of reusable templates.
Module 4Call AI from code
3 hours
Call model APIs from a script, ask for structured outputs your systems can read and manage cost and rate limits.
Module 5Answers from your own documents
4 hours
Build retrieval (RAG): split documents into chunks, index them, return answers with citations and check that the citations are right.
Module 6Run models on your own servers
3 hours
Run an open-source model on your own servers, connect it to internal documents and decide when your own servers suit you better than the cloud for PDPA and cost.
Module 7Test and monitor
2 hours
Keep a set of test questions, re-run it after every change and log and alert on failures, cost and response times.
What participants walk away with
Who it’s for
IT teams
Connect AI to the systems the business already runs.
Technical operations staff
Run and support automations day to day.
What participants need
A test environment agreed with your IT team two weeks before day 1: a test server or virtual machine, API keys for the AI services you use, a test internal API and access to n8n. We send the checklist. Nothing connects to your live systems during training.
Also included at this level
Integration templates
Pre-built templates for common integration patterns tailored to your stack.
Workflow blueprints
n8n workflow designs participants can export and adapt to their own systems.
Level 5 · Technical track
AI Architect
For technical leads and solution architects who design AI systems for the whole organisation.
From RM 18,000 16 hours of training
What your team will learn
Module 1Design AI systems
4 hours
Design system prompts, tool calls and document retrieval as one system, on no-code or developer platforms, then test each part and the whole.
Module 2Connect to data and memory
3 hours
Connect AI to SharePoint, Google Drive, databases and APIs, set up memory and tell a data problem from a model problem.
Module 3Test and set guardrails
3 hours
Build tests that measure quality, filter inputs and outputs, design tools agents call reliably and keep usage costs in check.
Module 4Compliance and security
3 hours
Handle data with consent, minimisation, audit trails and data residency (which country your data is stored in), defend against prompt injection (hidden instructions in a document that try to take over the AI) and data leaks and review systems before launch.
Module 5Introduction to fine-tuning
3 hours
Decide whether a problem needs better prompts, better retrieval or fine-tuning (further training a model on your own examples), write a one-page brief and judge a vendor's proposal.
What participants walk away with
Who it’s for
Solution architects and senior engineers
Design how AI connects to company data and tools.
Security and compliance engineers
Review AI systems before and after launch.
What participants need
Access to the AI platforms your company is considering and a sample of the documents or data your designs will use, in a test environment.
Also included at this level
Architecture templates
Reusable system design templates for common AI architecture patterns.
Review templates
System design, test plan and governance review templates.
Technical track
AI Developer
For people who write code every day. Use AI coding assistants well, review and test what they write, and agree team rules so code and secrets stay safe.
From RM 15,000 16 hours of training
What your team will learn
Module 1Coding assistants in your workflow
5 hours
GitHub Copilot, Claude Code, Cursor or the tool your company has approved: when to ask, how to give context and how to keep changes small.
Module 2Review and test AI-written code
5 hours
Read AI-written code like a colleague’s pull request, write the tests first and catch the mistakes AI makes most often.
Module 3Keep code and secrets safe
3 hours
Which code and data can go into which tools, keeping keys out of prompts and repositories and checking licences of suggested code.
Module 4Team rules for AI in your code
3 hours
Agree how your team uses AI: review rules, what must be tested, what is never pasted and how to share good prompts.
What participants walk away with
Who it’s for
Tech leads
Set the team rules for AI in your code and review what it writes.
QA and DevOps staff
Test AI-written code and keep keys and secrets out of prompts.
What participants need
The coding assistant your company has approved (GitHub Copilot, Claude Code, Cursor or another), on a paid business plan, and a practice repository. We plan the session around the tools you have approved.
What’s included
- 16 hours of hands-on training on your own stack, in a practice repository
- A review checklist and team rules your team can adopt the same week
- Certificate of completion
- Monthly alumni sessions for three months after training
Every level
What's included at every level
Hands-on practice
Participants build and test their own assistants, automations or systems during the training.
Certificate of completion
A certificate of completion for every participant who finishes the programme.
HRD Corp claim documents
We prepare the documents your company needs for the HRD Corp claim.
Follow-up by track
Business track follow-up
AI Practitioner and AI Specialist: a prompt library built around your team’s tasks, a competency report (before and after) and a one-month impact survey sent to HR.
Technical track follow-up
AI Integrator and AI Architect: a 30-day follow-up session to review progress and clear blockers.
Proof
How we know it works
What participants told us straight after training (May to October 2026). We report the same surveys for your cohort.
What participants built
- 26no-code AI chatbots built by participants in a one-day hackathon
- 7 monthsafter training, a manufacturer confirmed in writing that its teams still use the Sheets, Gemini and Forms templates they built
How our engineers used AI to build a team analytics dashboard
From spreadsheets to a dashboard of our engineering activity, refreshed every 6 hours.Mastery path
Where to go next
Before Level 2
AI Foundation
Level 1. The starting point for any team: AI at work, prompting and AI agents.
For senior leaders
Strategic AI Leadership
Three in-house courses for senior leaders: invest in, govern and sustain AI.
Rolling AI tools out across the company
AI Workspace Setup
Moves teams from personal subscriptions to one company-wide setup for Copilot, ChatGPT, Claude or Gemini.
Get started
Book a free discovery call
Step 1
We learn your goals
In 30 minutes: your team, your tools and what you want AI to change.
Step 2
We recommend and quote
The right programme and format, in a tailored proposal.
Step 3
We handle HRD Corp
We prepare the HRD Corp documents and claim from your levy, so there is no deposit. Paying another way? We set it up with you.
Prefer to message? Email ailab@mereka.io or WhatsApp +60 11-3011 6472
Thank you
We have your details and will email you to book the call. Urgent? WhatsApp us at +60 11-3011 6472 and we reply within the next working day.