Developing Al Apps and Agents on Azure
Exam Code: AI-103
The AI-103 certification exam validates your ability to design, develop, deploy, manage, secure, and monitor advanced Azure Al applications and agentic solutions using Python, Microsoft Foundry, generative Al, multimodal services, and Azure Al capabilities.
- Exam Breakdown
- Domain Breakdown
- Access Breakdown
Exam Format
- Exam Code: AI-103
- Certification Level: Intermediate / Associate
- Exam Duration: 120 minutes
- Passing Score: 700 out of 1000
- Unscored Content: The exam may include unscored questions for evaluation purposes. These questions do not affect your final score and may not be identified separately.
Exam Details
- Question Types: Multiple choice, case studies, drag-and-drop, build list, scenario-based questions, and interactive components
- Number of Questions: Microsoft certification exams typically contain 40–60 questions, but the exact number may vary
- Hands-On Questions: The exam may include interactive components, but Microsoft does not publish a fixed lab count for AI-103.
Exam Policies
- Offline Proctoring: Must be rescheduled or canceled at least 24 hours before the scheduled exam time.
- Online Proctoring: Must be rescheduled or canceled at least 24 hours before the scheduled exam time.
- Waiting Period: A 24-hour wait is required after the first failed attempt. A 14-day wait applies for subsequent retakes.
- Retake Fee: Full exam fee must be paid for each retake, unless a valid voucher, beta offer, or eligible exam offer applies.
Certification Validity and Renewal
- Validity: 1 year
- Renewal Options: Renew for free by passing the online renewal assessment on Microsoft Learn before the certification expires.
Exam Fee
- Base Fee: $165 USD, based on the country or region in which the exam is proctored
- Taxes: Country-specific taxes may apply. Example: In India, 18% tax applies, making the total $194.70 USD ($165 + $29.70 tax)
Prerequisites
There are no formal prerequisites for taking the AI-103 exam. However, it is recommended to have:
- Experience developing applications using Python
- Familiarity with Azure services and cloud solution concepts
- Knowledge of general AI and generative AI capabilities
- Experience building, managing, and deploying AI solutions
- Understanding of Microsoft Foundry projects, models, deployments, and tools
- Familiarity with retrieval-augmented generation, agents, grounding, vector search, and multimodal AI
- Awareness of responsible AI, safety filters, monitoring, identity, networking, and security controls
Exam Topics
- Plan and Manage an Azure AI Solution: Choose Microsoft Foundry services, select models, plan retrieval and indexing, configure model and agent deployments, manage quotas, monitor AI systems, secure solutions, and implement responsible AI controls
- Implement Generative AI and Agentic Solutions: Build generative AI apps, deploy and consume models, implement RAG, create workflows, build agents, integrate tools, manage memory, orchestrate multi-agent solutions, evaluate outputs, and monitor deployed agents
- Implement Computer Vision Solutions: Design image and video generation solutions, implement image editing workflows, build multimodal understanding workflows, configure visual question answering, generate alt text, analyze video, and apply responsible AI controls for visual content
- Implement Text Analysis Solutions: Extract entities, topics, summaries, and structured outputs, detect sentiment and sensitive content, translate text, customize language model outputs, implement speech-to-text and text-to-speech, and support multimodal reasoning from audio
- Implement Information Extraction Solutions: Build retrieval and grounding pipelines, ingest and index documents, images, audio, and video, configure semantic, hybrid, and vector search, implement OCR, extract document content, and produce structured outputs for agents and RAG
Intended Audience
The AI-103 certification is ideal for professionals who build and manage AI applications and agents on Azure, including roles such as:
- Azure AI Engineer
- AI Developer
- Python Developer
- Cloud Developer
- Generative AI Developer
- Agentic AI Developer
- Azure Solution Developer
- AI Application Engineer
- Machine Learning Engineer
Career Impact
Jobs You Can Get:
- Azure AI Engineer, AI Developer, Generative AI Developer, Cloud Developer, AI Application Engineer, Agentic AI Developer, Machine Learning Engineer, and Azure Solution Developer.
Average Salary:
- Varies by country — U.S.: $95,000–$150,000 USD,
- India: ₹10,00,000–₹30,00,000 INR,
- United Kingdom: £50,000–£90,000 GBP,
- UAE: 200,000–380,000 AED per year.
Why It’s Valuable:
- This certification validates modern Azure AI development skills, including Microsoft Foundry, generative AI, agentic solutions, RAG, computer vision, text analysis, information extraction, monitoring, security, and responsible AI implementation.
Exam Mode
The exam is proctored and can be taken either:
- In-person at authorized Pearson VUE test centres
- Online through Pearson VUE's online proctoring system
Exam Booking Link
- Book your AI-103 Exam via Microsoft Learn / Pearson VUE — Click here (https://learn.microsoft.com/en-us/credentials/certifications/azure-ai-apps-and-agents-developer-associate/)
Once you pass the exam
- Download your Microsoft Certified: Azure AI Apps and Agents Developer Associate certificate from Microsoft Learn
- Processing Time: For beta exams, results may not be available immediately because Microsoft analyzes exam question performance before scoring
- Log in to your Microsoft Learn profile
- Navigate to the Credentials or Certifications section
- Download or share your Microsoft certification badge and certificate once the certification is awarded
Offers
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Top Reasons to Choose
Developing Al Apps and Agents on Azure
High Demand for Azure AI Development Skills
Organizations need developers who can build AI apps and agents using Azure, Microsoft Foundry, Python, RAG, and multimodal services. This certification proves practical skills for modern AI workloads worldwide today.
Strong Focus on Real-World AI Solutions
The exam focuses on generative AI, agentic workflows, computer vision, text analysis, information extraction, monitoring, security, and responsible AI, helping candidates demonstrate job-ready Azure AI solution development skills effectively today.
Career Growth and Microsoft Recognition
As an official Microsoft Associate certification, AI-103 supports career growth for AI engineers, developers, cloud professionals, and solution builders working with Azure AI and Microsoft Foundry technologies worldwide in 2026.
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FAQ
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Who should take the AI-103 Developing AI Apps and Agents on Azure exam?
The AI-103 exam is ideal for Azure AI engineers, software developers, Python developers, cloud developers, and generative AI builders who create AI apps and agents on Azure. Candidates should understand Microsoft Foundry, Azure AI services, RAG, agents, models, computer vision, text analysis, information extraction, security, monitoring, and responsible AI practices.
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How difficult is the AI-103 exam?
The AI-103 exam is considered intermediate to advanced because it covers broad Azure AI development areas, including Microsoft Foundry, generative AI, agents, RAG, multimodal AI, computer vision, language, speech, information extraction, monitoring, and security. Candidates with Python and hands-on Azure AI experience will find preparation more manageable and practical.
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Why does Microsoft offer the Azure AI Apps and Agents Developer Associate certification?
Microsoft offers this certification to validate skills required to build modern AI applications and agentic solutions on Azure. Organizations need developers who can use Microsoft Foundry, models, tools, retrieval systems, agents, responsible AI controls, monitoring, and secure deployments to deliver scalable AI solutions that solve real business problems effectively.
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What tools and resources can be used to prepare for the AI-103 exam?
Candidates can prepare using the official Microsoft Learn AI-103 study guide, AI-103T00 training course, Azure AI documentation, Microsoft Foundry documentation, exam sandbox, and hands-on labs. Practical experience with Python, SDKs, RAG, agents, Azure AI Search, Azure OpenAI, Azure AI Vision, Language, Speech, Document Intelligence, and monitoring is recommended.
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Is the AI-103 certification still valuable in 2026?
Yes, AI-103 is valuable in 2026 because organizations are rapidly adopting generative AI, intelligent agents, multimodal applications, and retrieval-based AI systems on Azure. The certification proves current skills in Microsoft Foundry, Azure AI services, Python development, agentic workflows, security, monitoring, and responsible AI solution delivery.
