Microsoft Certified: Azure AI Fundamentals
Foundation Level
What is covered in the Azure AI Fundamentals course:
Discover the essentials of AI and Azure’s AI services with the Azure AI Fundamentals course—build foundational knowledge to identify AI workloads and leverage Azure tools for innovative solutions.
The Microsoft Certified: Azure AI Fundamentals course provides an introduction to essential artificial intelligence (AI) concepts and explores the Microsoft Azure services available for developing AI solutions. This course is not intended to train learners into expert data scientists or software engineers, but instead focuses on fostering an understanding of typical AI workloads and the ability to recognize the Azure tools best suited to support them.
The course offers a mixed learning approach, blending instructor-led sessions with online resources available through the Microsoft Learn platform. Practical exercises are integrated into the curriculum, drawing from Learn modules, and participants are encouraged to refer to these materials to solidify their classroom learning and dive deeper into specific topics.
Fees:
RM1,200 – RM1,425
Intakes:
1 Oct 2025 | 3 Nov 2025
What are the key skills measured:
- Explain Artificial Intelligence workloads and key considerations formats.
- Outline the core principles of machine learning within Azure.
- Highlight the capabilities of computer vision workloads on Azure.
- Detail the functionalities of Natural Language Processing (NLP) workloads on Azure.
- Explore the characteristics of generative AI workloads on Azure.
Who is this for?
- AI Engineer.
Bridging the Cloud Security Skills Gap with In-Demand Azure Expertise
Foundational AI Knowledge:
The certification provides a solid understanding of AI concepts and how they are implemented using Azure AI services, making it ideal for beginners or professionals looking to upskill in AI. According to Microsoft, this certification is designed to help you “understand the basics of AI and how it can be applied to solve real-world problems.”
Source: Microsoft Learn Blog
Career Growth and Opportunities:
With AI skills in high demand across industries, this certification helps you stand out in the job market. Microsoft highlights that “AI is transforming industries, and professionals with AI skills are in high demand.” This certification can open doors to roles like AI Specialist, Data Analyst, or AI Developer.
Source: Microsoft AI Blog
Hands-On Learning with Azure AI Services:
The certification equips you with practical experience using Azure AI tools such as Azure Cognitive Services, Azure Machine Learning, and Bot Framework. Microsoft emphasizes that “hands-on learning is key to mastering AI concepts and applying them effectively.”
Source: Microsoft Azure Blog
Alignment with Industry Trends and Responsible AI:
The certification ensures you understand not only AI technologies but also the ethical considerations and responsible AI principles. Microsoft states, “Responsible AI is at the core of everything we do, and this certification helps you align with these principles.”
Source: Microsoft Responsible AI Blog
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:
Beginner
Role:
AI Engineer
Product:
Artificial Intelligence
Subject:
Azure
Exam required:
AI-900 Microsoft Azure AI Fundamentals
Language offered:
English, Japanese, Chinese (Simplified), Korean, German, French, Spanish, Portuguese (Brazil), Russian, Indonesian (Indonesia), Arabic (Saudi Arabia), Chinese (Traditional), Italian
Open up new possibilities for your career
Frequently Asked Questions (FAQs)
This certification validates foundational knowledge of machine learning and artificial intelligence (AI) concepts, along with related Microsoft Azure services. It’s designed for individuals aiming to demonstrate their understanding of AI and its applications within Azure.
The certification is suitable for individuals with both technical and non-technical backgrounds. While data science and software engineering experience are not required, having an awareness of basic cloud concepts and client-server applications can be beneficial.
No, the Azure AI Fundamentals certification is not a prerequisite for other Azure role-based certifications. However, it serves as a valuable foundation for those interested in pursuing advanced Azure certifications such as:
- Microsoft Certified: Azure Data Scientist Associate: The Azure Data Scientist Associate certification validates that you have subject matter expertise implementing and running machine learning workloads on Microsoft Azure. Your responsibilities include planning and creating a suitable working environment for data science workloads on Azure, and you run data experiments and train predictive models. In addition, you manage, optimize, and deploy machine learning models into production.
- Microsoft Certified: Azure AI Engineer Associate: The Microsoft Azure AI Engineer certification is a gateway to the world of cutting-edge artificial intelligence. This certification gives you the chance to prove your expertise in cognitive services, machine learning, and knowledge mining to architect and implement Microsoft AI solutions involving natural language processing (NLP), speech, computer vision, and conversational AI.
The exam typically consists of 40-60 questions and has a duration of 45 minutes. It includes various question types to assess your understanding comprehensively.
In Malaysia, demand for AI readiness is growing: Microsoft has pledged to invest US$2.2 billion into cloud and AI infrastructure, which includes training programs for Malaysians.
This kind of investment typically yields roles that start at foundational levels, where the Microsoft AI-900 certification can serve as proof of understanding and readiness to work with Azure cognitive services, support teams, or assist in deploying AI features under supervision.
Because many companies are in early phases of AI adoption, demonstrating AI fundamental knowledge and skills gives candidates an edge in support, testing, or implementation preparatory roles. Even where salary benchmarks aren’t solidly established for AI-900 specifically, having certification often correlates with getting hired faster and being able to negotiate better entry-level tasks.
Pro Tip: Pair your Microsoft Certified: Azure AI Fundamentals credential with a small project (e.g., using Azure Cognitive Services or creating a chatbot) and showcase this as evidence of applied knowledge in interviews or on your portfolio.
In 2024, Microsoft announced it will invest US$2.2 billion in Malaysia over four years focused on cloud and AI infrastructure, including forming a national AI centre and AI skilling programs.
This investment is not only in hardware but also in human capital—training, education, ecosystem building—which directly supports the demand for foundational skills validated by the Microsoft Certified: Azure AI Fundamentals certification.
- Infrastructure builds often lead to new data centres, AI service rollouts, cognitive applications adoption, and local enterprise partnerships.
- Companies deploying AI features (chatbots, image/text processing, speech recognition) need teams that understand the principles of AI and machine learning even at basic levels.
- Azure AI certified certified professionals are well-placed to fill support, monitoring, testing, and training roles under these shifts.
- Malaysia has launched a national AI office to oversee policy, regulation, and ethical AI use.
Foundational knowledge of AI is becoming part of enterprise, public sector, and regulatory expectations. AI-900 credentials show that you understand both capability and risk, which positions you well in these evolving environments.
Pro Tip: On your resume or LinkedIn, highlight your Azure AI Fundamental credential along with awareness of Microsoft’s local AI/Cloud initiatives—this shows you’re not only certified but contextually up-to-date with where Malaysia is heading.
Job roles involving AI are expanding, not just for engineers but also for people in support functions, operations, QA, and cloud infrastructure who will increasingly interact with services like Azure Cognitive Services, AI inference endpoints, and model deployment.
The Microsoft Certified: Azure AI Fundamentals (AI-900) being a well-recognized fundamental level AI certification, demonstrates to employers that you understand enough to work with, or support, AI tools without significant oversight.
Given Microsoft’s investment and national policy signals, more organizations will list “AI knowledge” as desirable (if not essential). Because AI-900 is designed for non-technical and technical backgrounds alike, it is more attainable—and therefore, a differentiator—in large applicant pools.
When many candidates have general cloud or automation experience but fewer have formal AI fundamentals, AI-900 becomes a signal of initiative and alignment with modern AI-enabled workflows.
Pro Tip: When applying, include AI-900 on top of your resume’s skills section, and showcase a small demo or use-case (even a slide or GitHub sample) that shows you tried out Azure AI tools.
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