Microsoft Certified: Azure AI Apps and Agents Developer Associate (AI-103)
Intermediate Level
Master the skills to design, build, and deploy cutting-edge AI solutions on Azure with hands-on training from certified experts.
As AI changes how work is done across many industries and roles, organizations are rapidly moving AI apps and agents from experimentation into operational use. These shifts create opportunities for software developers who can build generative AI apps and production‑ready agents on Azure.
To meet these opportunities, we’re introducing the Microsoft Certified: Azure AI Apps and Agents Developer Associate Certification.
This new Microsoft Certification focuses on modern AI development, including generative AI, multimodal scenarios, agentic workflows, and responsible AI, by using Azure services and Microsoft Foundry to deliver scalable, real-world solutions.
Gain knowledge on AI integration with the Azure AI Engineer Associate certification.
Learn to design and implement AI-powered apps using Azure Cognitive Services, natural language processing, and conversational AI with C# or Python.
Gain mastery of AI and skills needed to embed artificial intelligence capabilities into apps, including Cognitive Services, natural language processing, and conversational AI with the Azure AI Engineer Associate certification.
The AI-103T00: Develop AI Apps and Agents on Azure training is intended for software developers wanting to build AI infused applications that leverage Azure Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework. The course will use C# or Python as the programming language.
Completing this course equips learners with the ability to apply generative AI confidently in real‑world business scenarios, helping teams reduce manual work, improve productivity, and achieve better business results without requiring technical or coding skills.
Microsoft Certified: Azure AI Apps and Agents Developer Associate (AI-103)
Category:
Intermediate
Product:
Azure
Role:
AI Engineer
Required Exam:
AI-103: Azure AI Apps and Agents Developer Associate
Duration:
100 minutes
Language Offered:
English, Japanese, Chinese (Simplified), Korean, German, Chinese (Traditional), French, Spanish, Portuguese (Brazil), Russian, Arabic (Saudi Arabia), Italian, Indonesian (Indonesia)
Cost:
$83 USD
What are the key skills measured:
- Plan and manage an Azure AI solution (25–30%)
- Implement generative AI and agentic solutions (30–35%)
- Implement computer vision solutions (10–15%)
- Implement text analysis solutions (10–15%)
- Implement information extraction solutions (10–15%)
Who is this for?
- AI Engineer
- Developer
Build intelligent AI solutions with advanced Azure expertise.
Microsoft’s 2025 Work Trend Index found that 81% of leaders expect AI agents to be moderately or extensively integrated into their organisation’s AI strategy within the next 12 to 18 months.
Microsoft, 2025 Work Trend Index Annual Report
Microsoft reports that 46% of leaders say their organisations are using AI agents to fully automate workflows or business processes.
Microsoft, 2025 Work Trend Index Annual Report
Microsoft’s global research found that 78% of leaders are considering hiring for new AI roles as organisations restructure work around AI and human-agent teams.
Microsoft, 2025 Work Trend Index Annual Report
Build Production AI Solutions
Validate your ability to plan, build, manage and deploy Azure AI solutions using Microsoft Foundry. AI-103 covers infrastructure, model and agent deployment, CI/CD, scaling, monitoring, security and cost management.
Develop AI Agents
Build agents that combine retrieval, function calling, memory, APIs, knowledge sources and custom tools. The certification also covers orchestrated multi-agent solutions and autonomous or semi-autonomous workflows with safeguards and approval controls.
Master Generative and Multimodal AI
Develop broader AI engineering capabilities across LLMs, RAG, vector search, computer vision, image and video generation, speech, text analysis and information extraction. This gives AI-103 significantly broader scope than agent development alone.
Build Responsible AI Engineering Skills
Learn to implement safety filters, guardrails, risk detection, content moderation, evaluations, auditing and controls around agent behaviour. AI-103 therefore validates both the development and operational responsibilities associated with enterprise AI.
Why choose Trainocate?
Train with Trainocate, a Microsoft training partner with 30+ years of technology training expertise, extensive Microsoft learning capabilities, 30+ authorized technology partnerships and a global training footprint spanning 24 countries.
As a Microsoft Solutions Partner and 2024 Microsoft Partner of the Year Training Services Award Finalist, Trainocate helps individuals and organizations develop practical, job-ready skills through Microsoft’s globally recognized certifications, Applied Skills, and role-based learning pathways.
Ready to move from prototypes to production?
Complete the form below to register your interest.
Frequently Asked Questions (FAQs)
1. Is Azure AI Engineer Associate certification valuable in Malaysia?
Yes. This certification positions professionals at the core of Malaysia’s rapidly expanding AI-cloud ecosystem. IDC projects that Microsoft’s upcoming Malaysia West cloud region will help generate US $10.9 billion in revenue and create 37,575 new jobs by 2028, with 5,700 of them being skilled IT positions. That represents significant opportunity for Azure-certified AI professionals. The certification validates your capacity to design, develop, and deploy AI solutions using Azure Cognitive Services, Azure ML, and OpenAI integration—skills that top Malaysian employers across finance, healthcare, and government are actively seeking. At Trainocate, we’ve supported many IT professionals and data scientists in leveraging this credential to gain valuable roles in these emerging sectors.
Achieving this certification now helps you secure a place in Malaysia’s growing AI-driven workforce.
2. What job roles can I pursue with this certification?
Earning Azure AI Engineer Associate opens doors to roles such as Azure AI Engineer, Machine Learning Engineer, Cognitive Services Specialist, and AI Solution Architect.
JobStreet shows over 120 AI Engineer vacancies in Malaysia, with monthly salaries ranging from RM 10,000 to RM 15,000. These roles involve building AI pipelines, deploying language models, and integrating intelligent services into enterprise workflows.
At Trainocate, our certified graduates frequently transition into AI roles within MNCs, GLCs, and cloud-native firms—bringing Azure-focused AI solutions to production environments.
Certification not only qualifies you for new roles—it gives you the framework to excel as technology leaders in AI implementation.
3. How does Malaysia’s data centre boom affect AI engineering opportunities?
Malaysia’s data centre expansion directly fuels demand for Azure AI Engineers.
Malaysia’s data centre industry is valued at US $4.04 billion in 2024, and projected to reach US $13.57 billion by 2030, growing at a 22% CAGR. With the new Azure region and collaborations alongside global giants like Nvidia and Google, data centres are becoming the backbone of AI infrastructure.
Azure AI Engineers, trained via this certification, are essential to operationalize AI solutions that run within these local centres, working on natural language models, computer vision systems, and cloud-native deployment frameworks.
️ If you’re aiming for a hands-on, impactful AI role, this certification helps build critical cloud competencies aligned with Malaysia’s infrastructure growth.
4. Is now the right time to get Azure AI Engineer certified?
Absolutely. The AI talent war is already underway — with 86% of Malaysian business leaders saying they’re hiring now.
Microsoft’s 2025 Work Trend Index reveals that 86% of Malaysian leaders intend to expand their workforce with AI-driven agents, while 84% plan to hire more AI-specific roles in the next 18 months . That indicates a strategic, sustained commitment to AI skills hiring.
Trainocate is seeing hiring trends align with these numbers—employers now prioritize Azure AI credentials when building AI centers of excellence and data-driven teams.
Getting certified today ensures you’re part of a select group ready to influence Malaysia’s AI trajectory.
5. How does global tech investment affect Azure AI roles in Malaysia?
Malaysia is attracting high-value cloud and AI investments, creating a powerful foundation for Azure AI careers.
Google’s planned US $2 billion data centre is expected to create 26,500 jobs by 2030, augmenting Microsoft’s US $10.9 billion local impact through 2028. Combined, these investments are accelerating digital transformation and fueling AI-driven innovation.
Azure AI Engineers with hands-on certification are needed to design, deploy, and maintain the AI models and systems hosted in this infrastructure—helping organizations operationalize AI in a secure and scalable manner.
Certified professionals are not only career-ready—they’re mission-critical to Malaysia’s future tech economy.
6. What long-term job growth can I expect as an Azure AI Engineer?
Azure AI Engineers are well-positioned for long-term growth and Malaysia’s ecosystem is scaling at pace.
IDC data shows that Johor has become one of the fastest-growing AI/data infrastructure regions, with 40,000 jobs created through the data centre boom alone. With cloud-region expansion and data centre projects planned, this upward trajectory is expected to continue.
Certified Azure AI Engineers are increasingly recruited for forward-facing roles in automation, AI ethics, and AI governance, ensuring their skillsets remain future-proof.
Certification is more than a credential — it’s a gateway to growing influence and leadership in Malaysia’s digital transformation.
