Microsoft Certified: Azure AI Apps and Agents Developer Associate

Intermediate Level

Build and validate the skills to design, develop and deploy generative AI applications and intelligent agents using Microsoft Foundry.

The Microsoft Certified: Azure AI Apps and Agents Developer Associate demonstrates your ability to plan Azure AI solutions, build generative and agentic applications, implement multimodal capabilities, and manage production AI workloads responsibly.

The certification is designed for developers and AI engineers who use Python, APIs and SDKs to build practical AI solutions on Microsoft Azure.

Ready to prove that you can build production-ready AI apps and agents on Azure?

Build complete AI applications and agent-based solutions on Azure.

The four-day AI-103T00: Develop AI Apps and Agents on Azure course teaches developers how to build generative AI applications, intelligent agents and multimodal solutions using Microsoft Foundry.

You will learn how to:

  • Develop generative AI apps on Azure
  • Develop AI agents on Azure
  • Develop natural language solutions in Azure
  • Extract insights from visual data on Azure

Level up in 2026:

 

Fees:

RM3,000/pax RM2,499/pax

Intakes:

5-8 Oct 2026 | 2-5 Nov 2026 

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?

  • Azure AI engineers

  • Software developers

  • AI application developers

  • Generative AI developers

  • Agentic AI developers

  • Cloud application developers

  • Python developers building AI solutions

  • Technical consultants working with Microsoft Azure

  • Developers responsible for multimodal AI applications 

AI agents are changing how applications are built in Asia Pacific

53% of Asia Pacific leaders said their organisations were already using agents to fully automate workflows or business processes, compared with a global average of 46%. 
Source: Microsoft’s 2025 Work Trend Index
82% of Asia Pacific leaders said their organisations were considering new AI-focused roles, including AI agent specialists, AI trainers and AI workforce managers.
Source: Microsoft’s 2025 Work Trend Index
47% of Asia Pacific leaders expect their teams to build multi-agent systems that automate complex tasks within five years.
Source: Microsoft’s 2025 Work Trend Index

Validate current Azure AI development skills

Show that you can use Microsoft Foundry to build complete AI applications rather than work with isolated AI features. 

Demonstrate agent-development capability

Confirm your ability to build agents that use tools, memory, retrieval, APIs and multi-agent orchestration to complete business tasks.

Work across multiple AI modalities

Develop recognized skills across text, speech, images, video and document information extraction.

Build AI systems responsibly

Demonstrate that you understand security, content safety, monitoring, evaluation, traceability and human approval controls.

Why choose Trainocate?

With more than 30 years of experience and operations across 24 countries, Trainocate is a recognized technology and professional development training provider trusted by over 7,000 organizations worldwide.

As a Microsoft Learning Partner, Trainocate provides official Microsoft training aligned with current Azure technologies, job roles and certification requirements. Learners benefit from Microsoft-authorized courseware, experienced instructors and established certification pathways.

Trainocate’s commitment to training quality has received recognition from Microsoft and other leading technology organisations, including:

  • Microsoft Malaysia Learning Partner of the Year in 2023 and 2024
  • Microsoft Worldwide Learning Partner of the Year in 2021
  • Top 20 IT and Technical Training Company in 2025
  • More than 60 technology partner awards across the Trainocate Group

Trainocate Malaysia is also an HRD Corp Registered Training Provider and Yayasan Peneraju Accredited Learning and Training Institution.

Certification Details

Level:

Intermediate

Exam Duration:

120 minutes

Role:

AI Engineer, Developer

Product:

Azure, Microsoft Foundry

Exam required:

Exam AI-103: Developing AI Apps and Agents on Azure

Cost:

USD83
*Subject to applicable taxes and exchange rates

Language offered:

English, Chinese Simplified, Chinese Traditional, Arabic, French, German, Indonesian, Italian, Japanese, Korean, Portuguese-Brazilian, Russian, Spanish-Modern

Open up new possibilities for your career

Frequently Asked Questions (FAQs)

It is an intermediate Microsoft certification for developers who build, manage and deploy AI applications and agents using Microsoft Foundry.

The credential covers generative AI, agentic solutions, computer vision, text analysis and information extraction on Azure.

Pro Tip: Review all five exam domains before preparing, as AI-103 covers more than generative AI and agents.

AI-103 is intended for Azure AI engineers and developers with Python, API and cloud development experience.

Candidates should understand general AI, generative AI and Azure services. The exam is not intended for learners with no prior programming experience.

Pro Tip: Build a small Python application that connects to a Microsoft Foundry project before beginning exam preparation.

Microsoft Foundry is the primary platform used in AI-103 to build, evaluate, deploy and manage AI applications and agents.

Candidates must understand model selection, Foundry projects, agent services, knowledge connections, evaluation, monitoring and responsible AI controls.

Pro Tip: Practice navigating the platform and using its SDKs instead of relying only on conceptual study materials.

4. Does AI-103 cover generative AI and multi-agent systems?

Yes. Generative AI and agentic solutions account for 30–35% of the AI-103 exam.

The domain includes RAG, function calling, agent memory, connected tools, multistep reasoning, agent orchestration and autonomous or semi-autonomous workflows.

Pro Tip: Build one agent that uses retrieval and another that calls an external function, then test how they work together.

AI-103 places greater emphasis on complete generative AI applications, intelligent agents, orchestration and multimodal solutions.

AI-102 focused more heavily on implementing individual Azure AI services. AI-103 reflects Microsoft’s current development approach based on Microsoft Foundry, generative AI and agent-based systems.

Pro Tip: If you are beginning the Azure AI certification pathway in 2026, prepare for AI-103 rather than using older AI-102 materials.

Yes. The course covers text, speech, computer vision, multimodal understanding and information extraction.

Learners work with AI solutions that analyze or generate text, speech, images and video, as well as systems that extract structured information from documents.

Pro Tip: Do not focus exclusively on agents because vision, text analysis and information extraction collectively represent up to 45% of the exam.

The four-day course follows the role and technologies assessed by the AI-103 certification.

It covers generative AI development, agent creation, multimodal solutions and information extraction. Candidates should still use the Microsoft study guide and practice assessment after training.

Pro Tip: Compare your course notes against each item in the current exam study guide and practice weaker areas before scheduling the exam.

AI-103 is relevant to Azure AI engineer, AI application developer, generative AI developer and agentic AI developer roles.

It can also support cloud developers and technical consultants who design or implement AI solutions with Microsoft Azure. Certification strengthens a professional profile but does not replace development experience.

Pro Tip: Pair the credential with a working AI application that demonstrates retrieval, tool use, evaluation, monitoring and security.

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