Microsoft Certified: Azure Data Scientist Associate

Intermediate Level

The Microsoft Certified: Azure Data Scientist Associate validates your expertise in designing and implementing data science solutions using Azure tools, including machine learning, data analysis, and AI workflows.
The Microsoft Certified: Azure Data Scientist Associate certification is designed for professionals who specialize in data science and machine learning on the Azure platform. It validates skills in designing environments, exploring data, training models, implementing pipelines, running jobs, and managing, deploying, and monitoring scalable machine learning solutions, as well as using language models for AI applications.
Candidates need knowledge of Azure Machine Learning, MLflow, Azure AI, AI Search, and AI Services, making it suitable for those with at least one year of experience in these areas.

Course Summary:

Designing and Implementing a Data Science Solution on Azure equips you with hands-on skills to build, deploy, and manage end-to-end data science workflows using Azure Machine Learning.

The Azure Data Scientist Associate plays a key role in driving innovation, enhancing customer experiences, boosting revenue, and maintaining a competitive edge for their organization. By fostering a data-driven culture, data scientists apply scientific methodologies and algorithms to analyze complex business challenges, uncover insights, and identify opportunities that align with organizational objectives.

Fees:

RM2,499 – RM3,374

Intakes:

8-11 Sep 2025 | 15-18 Dec 2025

Skills measured:

  • Design and prepare a machine learning solution 20–25%
  • Explore data, and run experiments 20–25% 
  • Train and deploy models 25–30% 
  • Optimize language models for AI applications 25–30% 

Who is this for?

  • Data scientists

  • Machine learning engineers 

  • AI specialists 

Why validate your expertise in data science with Microsoft?

Microsoft announced a US$2.2 billion investment in Malaysia for cloud and AI infrastructure, which will create job opportunities for data scientists and machine learning professionals. (Microsoft Blog)
The Malaysia Digital Economy Blueprint plans to develop 30,000 data professionals by 2025, emphasizing the government’s commitment to AI and machine learning skills. (Malaysia Digital Economy Blueprint)
According to a 365 DataScience article, Microsoft Azure skills are the most in-demand, with 28.5% of job postings requiring proficiency in this platform—outpacing other tools and technologies.

Industry-Recognized Validation of Azure Expertise:

This certification is a Microsoft-endorsed credential that proves mastery of Azure’s data science ecosystem. Employers prioritize candidates with verified skills in Azure Machine Learning, MLflow, and Azure AI services, as these tools dominate enterprise cloud-based AI/ML workflows.

High Demand for Azure-Centric AI/ML Skill:

With Azure being a top cloud platform, expertise in Azure AI Search, AI Services, and language models (e.g., GPT, Azure OpenAI) positions you for roles in generative AI, intelligent apps, and enterprise AI solutions—areas experiencing explosive growth and investment.

Competitive Edge in End-to-End ML Solutions:

The certification validates your ability to design, deploy, and monitor scalable ML pipelines—a critical skill as businesses seeks professionals who can handle the full lifecycle of ML models (from data exploration to production deployment). This bridges the gap between theoretical ML and operationalized AI.

Alignment with Cutting-Edge Tools and Best Practices:

The certification ensures proficiency in MLflow for model tracking and Azure’s MLOps frameworks, which are essential for reproducible, compliant, and collaborative AI workflows. Organizations value these skills to maintain governance and scalability in AI initiatives.

Why choose Trainocate?

As an authorized Microsoft training partner and winner of the 2024 Microsoft Training Partner of the Year award, Trainocate offers expert-led training and access to industry-recognized resources, ensuring you are fully equipped to pursue your certification. With our support, you’ll gain the confidence and skills needed to succeed in Microsoft AI.

Certification Details

Level:

Intermediate

Duration:

100 minutes

Price:

$83 USD

Product:

Azure

Subject:

Machine learning

Role:

Data Scientist

Language offered:

English, Japanese, Chinese (Simplified), Korean, German, Chinese (Traditional), French, Spanish, Portuguese (Brazil), Russian, Arabic (Saudi Arabia), Italian, Indonesian (Indonesia)

Open up new possibilities for your career

Frequently Asked Questions (FAQs)

Yes — this certification is highly valuable for professionals seeking to lead in Malaysia’s growing AI and cloud industry.

With Microsoft’s US $2.2 billion investment into Malaysia’s AI infrastructure and digital workforce, the government aims to train 200,000 professionals to meet the surge in demand for AI talent Microsoft Newsroom, 2024. This underscores the importance of certifications that demonstrate hands-on expertise in real-world AI solutions — precisely what this certification offers.

Azure Data Scientist Associate certifies your ability to design and deploy machine learning solutions using Azure Machine Learning, an enterprise-ready platform. This is a competitive advantage as companies shift from traditional data science to scalable, cloud-first architectures.

At Trainocate, we’ve seen growing demand from industries such as finance, telecom, and the public sector seeking certified data professionals. Certification isn’t just a checkbox — it’s a direct signal to employers of your readiness to contribute to AI-driven transformation.

This certification future-proofs your career in one of Malaysia’s fastest-growing tech sectors.

As of 2025, data scientists in Malaysia earn an average salary of RM 54,311 per year, with top-tier professionals earning over RM 100,000.

According to PayScale Malaysia, this salary reflects the growing demand for analytics and AI capabilities across industries. While entry-level professionals may start lower, Azure-certified data scientists with cloud-based machine learning skills typically command higher salaries and are often fast-tracked for promotions into roles such as Machine Learning Engineer or AI Specialist.

Cloud AI roles, particularly those built on Microsoft Azure, are gaining traction as organizations transition from on-premises infrastructure to scalable platforms like Azure Machine Learning. That transition is increasing the value of professionals who can deliver model training, deployment, and lifecycle management in real business environments.

Certification not only raises your salary ceiling — it puts you in the top percentile of job-ready candidates in the data domain.

Demand for data professionals in Malaysia is at an all-time high — 70% of new job roles now require digital skills, but only 30% of the workforce is adequately equipped.

This gap, reported in the Randstad 2025 Malaysia Job Market Outlook, presents a major opportunity for IT and cloud professionals to upskill into AI and data science. Businesses across banking, manufacturing, logistics, and healthcare are investing heavily in digital transformation, and are looking for certified professionals who can operationalize data and AI pipelines.

The Azure Data Scientist Associate certification directly addresses this gap, equipping learners with the ability to build, evaluate, and deploy machine learning models in a cloud-native environment.

At Trainocate, we regularly engage with HR and L&D teams who list AI readiness as a top priority — but struggle to hire. Certification gives you a clear advantage.

⚠️ Professionals who invest in certification now will be among the few truly job-ready for Malaysia’s AI-driven economy.

Malaysia aims to produce 35,000 data professionals by 2025 to meet growing enterprise and government demand for AI skills.

This underscores the nation’s strategic focus on becoming a Southeast Asian data and digital hub. Whether it’s predictive analytics in healthcare or machine learning in fintech, the country’s data economy needs certified talent who can turn insights into actions.

Azure’s ecosystem — from Azure Synapse Analytics to Azure ML — is at the core of many enterprise AI initiatives. The Microsoft Certified: Azure Data Scientist Associate credential is designed for professionals who want to master these tools in real-world applications.

Trainocate’s enterprise clients — from GLCs to MNCs — are actively building AI teams and often list Microsoft certifications as a baseline requirement.

Getting certified now puts you on track to enter a talent pool that’s in extremely high demand.

Malaysia’s booming data centre ecosystem — led by Microsoft’s new Azure region — is creating thousands of AI and cloud-related jobs.

According to IDC “Microsoft Cloud Dividend Snapshot” for Malaysia, Microsoft’s investment in three Azure data centres will generate 37,000 jobs by 2028, spanning data science, cloud operations, AI engineering, and cybersecurity.

These data centres are not just about storage — they enable advanced analytics, real-time model serving, and scalable AI. Roles tied to Azure-based solutions are now central to digital transformation agendas across government and enterprise.

The Azure Data Scientist Associate certification validates your ability to design and deploy machine learning pipelines that are compatible with Azure cloud services — a critical skill for organizations embracing Microsoft’s AI ecosystem.

️ This certification ensures you’re aligned with where the industry is headed — and where the jobs are growing.

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