Building Malaysia’s AI and Data-Driven Workforce:​ Skills for the Future

Discover Opportunities in Malaysia’s Growing Digital Economy

With billions of dollars invested by global tech giants like AWS, Microsoft, Google, and Oracle, Malaysia is rapidly emerging as a hub for digital innovation.​ The demand for certified Data and AI professionals has never been higher, making it the perfect time to elevate your career.

Why Data and AI Are Driving Malaysia’s Digital Transformation

Malaysia is rapidly becoming a hub for Data and AI innovation, fueled by multi-billion-dollar investments from global tech giants.​
Here’s how these investments are shaping the future:
aws white logo

RM29.2 billion invested in building the AWS Asia Pacific (Malaysia) Region, focusing on data services and machine learning solutions, and creating 3500+ jobs annually.

AWS

RM10.5 billion committed to establishing AI and cloud infrastructure, including an AI Centre of Excellence, with plans to train 200,000 Malaysians.

Microsoft

RM9.4 billion allocated for its first data center in Selangor, enhancing data analytics and AI capabilities.

Google

Investments in multi-cloud and AI technologies to promote digital innovation across industries.

VMware

RM6.5 billion for its public cloud region to drive data-driven solutions.

Oracle

These investments are creating high-demand roles and opportunities for Malaysian professionals to advance their careers in Data and AI.

Trainocate’s Role in Malaysia’s National Digital Economy Blueprint

Aligned with Malaysia’s MyDIGITAL Blueprint, Trainocate Malaysia is empowering professionals and businesses by:

Providing globally recognized certifications in Data and AI from top technology partners.

Bridging the skills gap by offering comprehensive training programs, from foundation to expert levels, tailored to the needs of Malaysia’s digital workforce.

Equipping SMEs and enterprises with the tools and skills needed to adopt AI-driven solutions.

Our mission is to support Malaysia’s goal of building a digitally skilled workforce to meet the demands of the evolving economy.

Explore Popular Data and AI Certifications

Foundation Level:

AWS Certified AI Practitioner

AWS Certified AI Practitioner validates in-demand knowledge of artificial intelligence (AI), machine learning (ML), and generative AI concepts and use cases. Sharpen your competitive edge and position yourself for career growth and higher earnings.

CompTIA Data+

The Official CompTIA Data+ (DA0-001) training equips candidates with essential data skills, covering data mining, manipulation, statistical methods, and analysis while ensuring governance and quality. Aligned with the exam objectives, it prepares learners for the CompTIA Data+ certification.​

CompTIA DataSys+

CompTIA DataSys+ is a foundational level data management certification that focuses on the logistics of data administration and security.

Microsoft Certified:​ Azure AI Fundamentals

This certification is an opportunity for you to demonstrate knowledge of machine learning and AI concepts and related Microsoft Azure services. As a candidate for this certification, you should have familiarity with the self-paced or instructor-led learning material.

Microsoft Certified:​ Azure Data Fundamentals

This certification is an opportunity to demonstrate your knowledge of core data concepts and related Microsoft Azure data services. As a candidate for this certification, you should have familiarity with Exam DP-900’s self-paced or instructor-led learning material.​

Splunk Core Certified
Power User

Deliver more value as a power user​ Strengthen your searching and reporting capabilities. Create workflow actions, event types, knowledge objects and data models. Know how to use field aliases, calculator fields and macros. Plus, learn to normalize data for Splunk.

Google Cloud Digital Leader ​​​​​​

Validates broad knowledge of cloud concepts and the products, services, tools, features, benefits, and use cases of Google Cloud.

Intermediate Level:

AWS Certified: Data Engineer Associate

This certification validates skills and knowledge in core data-related AWS services, ability to ingest and transform data, orchestrate data pipelines while applying programming concepts, design data models, manage data life cycles, and ensure data quality.

AWS Certified: Machine Learning Engineer Associate

This certification validates technical ability in implementing ML workloads in production and operationalizing them. Boost your career profile and credibility, and position yourself for in-demand machine learning job roles.

Splunk Core Certified Advanced Power User

Learn how to generate complex searches, reports and dashboards. With deeper expertise, you can expand what you can do with your organization’s data.

Microsoft Certified: Azure Data Scientist Associate

As a candidate for this certification, you should have subject matter expertise in applying data science and machine learning to implement and run machine learning workloads on Azure. Additionally, you should have knowledge of optimizing language models for AI applications using Azure AI.

Microsoft Certified: Azure AI Engineer Associate

As a Microsoft Azure AI engineer, you build, manage, and deploy AI solutions that leverage Azure AI.​

Microsoft Certified: Fabric Data Engineer Associate

As a Fabric Data Engineer, you should have subject matter expertise with data loading patterns, data architectures, and orchestration processes.

Microsoft Certified: Power BI Data Analyst Associate

PL-300T00: Microsoft Power BI Data Analyst – A 3-day instructor-led training covering data preparation, modeling, visualization, and Power BI deployment.

Google Professional Data Engineer

This certification makes data usable and valuable for others by collecting, transforming, and publishing data. This individual evaluates and selects products and services to meet business and regulatory requirements. A Professional Data Engineer creates and manages robust data processing systems. This includes the ability to design, build, deploy, monitor, maintain, and secure data processing workloads.

Expert Level:

Google Professional Machine Learning Engineer

A Professional Machine Learning Engineer leverages Google Cloud to build, evaluate, and optimize AI solutions. They handle large datasets, create reusable code, and operationalize generative AI with responsible AI practices. Skilled in model architecture, ML pipelines, and MLOps, they collaborate across teams to deploy, monitor, and enhance scalable AI applications.

Microsoft Certified: Azure Solutions Architect Expert

As a candidate for this certification, you should have advanced experience and knowledge of IT operations, including networking, virtualization, identity, security, business continuity, disaster recovery, data platforms, and governance. You should manage how decisions in each area affect an overall solution.

Find the certification that matches your career goals and take the first step toward success.

Bridging the Data and AI Skills Gap in Malaysia

Challenges

  • Shortage of talent: Companies face difficulties finding skilled professionals to manage data and AI projects.
  • Slow adoption: SMEs struggle with implementing AI-driven solutions due to limited expertise.
  • Awareness gap: Many professionals are unaware of the career potential in Data and AI.

The Benefits of Data and AI Certifications

  • High-Demand Jobs: Roles like Data Scientist, AI Engineer, and Machine Learning Specialist are among the fastest-growing careers in Malaysia.
  • Competitive Salaries: Certified professionals earn up to 30% more than their uncertified peers. AI engineers can earn up to RM180,000 annually.
  • Career Advancement: Certifications pave the way for senior roles in IT and digital transformation projects.
  • National Impact: Play a vital role in Malaysia’s digital transformation by contributing to industry growth and innovation.

Be the professional businesses are searching for—get certified today! ​

What Makes Trainocate Unique?

Authorized Training Provider: Collaborating with AWS, Microsoft, Google, and more.

Comprehensive Learning Paths: From foundation to expert levels.

Hear from Our Certified Professionals

“After completing the Azure AI Fundamentals course, I transitioned into a data analyst role with a 25% salary increase. Trainocate’s hands-on training was invaluable!”

Aiman, Certified Data Professional

“Trainocate’s AI Engineer program gave me the confidence to lead AI projects in my organization. The real-world examples were a game-changer!”

Nadia, AI Engineer

Frequently Asked Questions (FAQs)

If you’re new to Data and AI, we recommend starting with Azure AI Fundamentals (AI-900) or Google Cloud Digital Leader.

We offer both online and hybrid training options to suit your preferences.

Intermediate-level certifications or equivalent experience in data management or AI are typically required.

Still have questions? Contact us to speak with an advisor.

Take the First Step Toward Your Future

Explore Courses: Find the certification that matches your career aspirations. ​

Speak to an Advisor: Get personalized guidance on your learning journey.

Enroll Now | Contact Us