A flagship initiative by Pepper Labs for Future-Ready Malaysian Talent
AI-Ready Malaysia brings together talent development, leadership enablement, and real-world AI solutioning to help Malaysia adopt AI in a practical, responsible, and future-ready way.
Built for:
An AVPN-supported initiative focused on building practical and responsible AI capability across Malaysia and the Asia Pacific region.
This programme goes beyond theory. Participants gain hands-on exposure to AI tools, a clear understanding of ethical and responsible AI use, and the confidence to apply AI meaningfully in academic, institutional, and organisational settings.
Real-world AI applications
Responsible AI awareness and governance basics
Practical confidence to use AI effectively
This accelerator develops AI-ready Bumiputera talents aligned with national priorities and industry demand.
Through structured certification pathways, participants build job-relevant skills while earning recognised credentials that support employability, productivity, and responsible AI adoption.
Industry-aligned skills, not generic training
Practical application with guided support
Clear pathways towards career advancement
Artificial Intelligence is transforming how governments plan, decide, and deliver public services.This integrated offering supports ministries and agencies to adopt AI in a structured, practical, and responsible manner.
AI Masterclasses for Ministries & Agencies
Custom-designed AI masterclasses tailored to the needs of the public sector
AI fundamentals and emerging trends for government
Policy-relevant and operational use cases
Responsible and ethical AI adoption
From ideas to implementation, we support departments to:
We work with organisations to design AI-enabled solutions grounded in real operational, policy, and business challenges.
Our problem-first approach ensures AI is applied where it truly adds value. Every solution is built with real users in mind, supported by human-in-the-loop workflows, and designed to meet governance, compliance, and sustainability requirements.
Identify high-impact, real-world use cases
Design practical AI workflows, not experiments
Embed governance, compliance, and scalability from day one
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