CTOs, heads of data, lead ML engineers, data scientists and architects moving into AI-Ops.
Machine Learning 202 with Python: Advanced Models and Techniques
- 2 days
- HRDC claimable
- Advanced
In short
What is the Machine Learning 202 with Python: Advanced Models and Techniques program?
A two-day advanced program on production-grade ML. Focus on ensembles and gradient boosting, imbalanced data, explainability for regulated sectors, and MLOps for drift.
Your team leaves able to build production-grade ML: high-performance ensembles, explainability for regulated sectors, and the MLOps to keep models honest as data drifts.
Models that stand up in production and to a regulator. We have built advanced ML for Malaysian industry, including real-time defect detection that cut labour cost in high-precision manufacturing. See a case study.
What your team will be able to do
- Build high-performance ensembles with XGBoost, LightGBM and CatBoost.
- Apply advanced feature engineering, selection and dimensionality reduction.
- Explain models with SHAP and LIME for regulatory transparency.
- Tune hyperparameters with Bayesian optimization via Optuna.
- Operationalize MLOps and governance under PDPA and AIGE.
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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.
The step past the fundamentals: models that hold up in production and stand up to a regulator.
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.
How is ML 202 different from ML 101?
ML 101 builds the foundations; ML 202 is production-grade. It focuses on high-performance ensembles with XGBoost, LightGBM, and CatBoost, advanced feature engineering, explainability with SHAP and LIME for regulated sectors, and the MLOps to manage drift.
Does it cover model explainability for regulators?
Yes. Explainability is a core module: SHAP and LIME for transparency where a decision must be justified, plus Bayesian hyperparameter tuning with Optuna and MLOps under PDPA and AIGE. It is built for teams in banking, insurance, and other regulated sectors.
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.