CTOs, IT directors, lead architects, engineering leads, data scientists and risk officers.
AI Engineering and MLOps
- 2 days
- HRDC claimable
- Advanced
In short
What is the AI Engineering and MLOps program?
A two-day technical program bridging experimental AI and production systems. Architect MLOps pipelines for traditional ML and generative AI, with observability and compliance built in.
Your team leaves able to take AI from experiment to production: end-to-end MLOps pipelines, model observability and drift detection, and compliance built into the workflow.
Nearly two-thirds of organisations have not begun scaling AI across the enterprise, and only about 6% capture significant value (McKinsey, The State of AI, 2025). MLOps is the discipline that crosses that gap. Source: McKinsey, The State of AI, 2025
Where pilots become products. We have built and run AI systems in production for Malaysian enterprises, including automated data pipelines that hold up at scale. See a case study.
What your team will be able to do
- Architect end-to-end MLOps pipelines from data versioning to continuous deployment.
- Build infrastructure for generative AI, including RAG and fine-tuning.
- Implement model observability and real-time drift detection.
- Deploy at scale with containerization and serverless options.
- Build governance and privacy compliance into engineering workflows.
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Who runs it
This program is run by industry practitioners who have shipped AI inside regulated enterprises across banking, government, manufacturing, and telco. It is led by Peter Kua, our AI and data science lead, a core contributor to Malaysia’s National Big Data Analytics Framework under MDEC and co-author of Malaysia’s AI Adoption Blueprints in 2019 and 2020. You are learning from people who have built this in production, not read about it. Peter’s commentary on AI adoption and workforce capability has appeared in The Star, theSun, Singapore Business Review, e27, and DagangNews, and on RTM Berita’s Tech Today.
Where pilots become products. This program builds the engineering discipline that keeps AI running in production.
Common questions
Is this program HRDC claimable?
Yes. It is claimable through HRD Corp under SBL and SBL-Khas. GrowthPro Asia is an HRDC-registered provider, and we handle the claim paperwork so it stays audit-ready. For most registered employers the levy covers most or all of the cost.
Is this hands-on or theory?
Hands-on. These are build-along programs: your team works in real tools on real datasets and leaves with working code and a project it can reuse, not a slide deck. We introduce concepts only to support what you build.
What do we need to know before we start?
It depends on the level. Beginner programs start from fundamentals and assume no prior coding. Intermediate and advanced ones assume working Python or data experience. Each program states its level, and we help you place your team correctly.
Is it delivered in-house or as a scheduled cohort?
Both. Most teams run it in-house over two days on their own stack and data, which is where the skills stick. A scheduled cohort is available when you want a smaller group to learn alongside peers from other organisations.
How is the cost set?
We do not publish a fixed price. Cost depends on in-house versus scheduled delivery, group size, and how far we customise to your stack and data. It is HRD Corp claimable, so for most registered employers the levy covers most or all of it. Tell us your group size and format for an indicative quote.
Who is AI Engineering and MLOps for?
The people who put AI into production: lead architects, engineering leads, data scientists, and the risk officers who govern it. It assumes working ML and engineering experience and covers pipelines from data versioning to continuous deployment, for both classical ML and GenAI.
Does it cover generative AI in production?
Yes. Alongside classical ML, we cover the infrastructure for GenAI, including RAG and fine-tuning, model observability and real-time drift detection, scaled deployment with containerisation and serverless, and the privacy and governance that production AI needs under PDPA.
What it costs
We do not publish a fixed price, because the program is built around your team and stack. Three things set the cost: whether you run it in-house on your own tools and data or join a scheduled cohort, the size of the group, and how far we customise to your environment. It is HRD Corp claimable under SBL and SBL-Khas, so for most registered employers the levy covers most or all of it. Tell us your group size and format, and we will send an indicative quote and exactly what is included.
Book the Free AI Strategic BriefingRelated
- AI Capstone, the pilot a roadmap leads into.
- HRDC-claimable AI training, how the claim works.
- AI consulting, strategy, governance and pilots.
- Advanced GenAI Systems: RAG, Fine-Tuning and Internal Copilots, a related program in AI Engineering & Systems Intelligence.
- Agentic AI for Workflow Autonomy, a related program in AI Engineering & Systems Intelligence.
Turn AI strategy into a working pilot, and prove the ROI.
Start with the free 3-hour AI Strategic Briefing. See agentic AI run real workflows, and leave with an automation roadmap, a prompt library, and a pilot playbook.