Microsoft Certified: Azure AI Apps and Agents Developer Associate

Microsoft · AI-103 · Associate

Microsoft · Microsoft Azure

Microsoft Certified: Azure AI Apps and Agents Developer Associate

AI-103betaAssociate
Official Microsoft source · learn.microsoft.com

AI-103 · ● Beta · Associate · Microsoft


Exam facts

FieldValue
Cost$165 USD (80% discount available for first 300 beta testers until May 7, 2026)
Duration120 minutes
Questions40–60 (scaled scoring)
Passing700/1000 scaled score
FormatMultiple choice, multiple response, hotspot, yes/no, drag-and-drop, case study scenarios
DeliveryPearson VUE OnVUE (online proctored)
LanguagesEnglish (additional languages not yet confirmed for beta)
Valid3 years from certification date
RenewalEarn higher certification or retake exam
PrerequisitesNone; Python development experience recommended
ReleasedBeta: April 2026
GA ExpectedJune 2026
RetiringAI-102 retires June 30, 2026 (AI-103 is the direct successor)

Vendor source — Microsoft Learn Certification ↗ Official exam guide — Study guide for Exam AI-103 ↗ Official course — AI-103T00: Develop AI apps and agents on Azure ↗


About

Exam AI-103 validates expertise in building AI applications and agentic solutions on Microsoft Azure, with emphasis on generative AI, multi-agent orchestration, and responsible AI deployment. Launched in April 2026 as beta, AI-103 replaces the retiring AI-102 (Azure AI Engineer) effective June 30, 2026, reflecting Microsoft's shift toward agentic AI frameworks and Azure AI Foundry. Target audience: software developers with Python experience building intelligent solutions using Azure OpenAI Service, Cognitive Services, and Microsoft Foundry. As of May 2026, beta testers receive 80% discount (code AI103Claxton) until May 7; general availability planned for June 2026.


Domain context — AI

Artificial Intelligence: vendor-neutral and vendor-specific generative AI, machine learning operations (MLOps), large language models (LLMs), computer vision, natural language processing, and agentic workflow architectures.

Read full deep dive — Microsoft Azure Ecosystem → (file not yet created)


Topics covered

  • Plan and Manage Azure AI Solutions (25–30% weight)

    • Azure AI Foundry environment provisioning and governance
    • Solution architecture using Azure OpenAI, Cognitive Services, and AI Search
    • Responsible AI principles and content filtering
  • Implement Generative AI and Agentic Solutions (30–35% weight)

    • Generative AI application development (prompt engineering, LLM integration)
    • Multi-agent orchestration and tool integration
    • RAG (Retrieval-Augmented Generation) pipelines with Azure AI Search
    • Deployment and monitoring in production environments
  • Implement Computer Vision Solutions (10–15% weight)

    • Azure Computer Vision API for image analysis and classification
    • Document Intelligence (OCR, form recognition, layout analysis)
    • Multimodal vision-language model integration
  • Implement Text Analysis Solutions (10–15% weight)

    • Azure Language service (NLP, sentiment analysis, entity recognition)
    • Custom text classification and Named Entity Recognition (NER)
  • Implement Information Extraction Solutions (10–15% weight)

    • Document extraction and knowledge mining
    • Azure Cognitive Search for semantic retrieval

Source: Microsoft Learn Study Guide ↗


Common skills at AI · Associate

Shared competencies for the AI domain at Associate level across vendors and platforms.

  • Cloud platform fundamentals (compute, storage, networking, identity/access)
  • Python programming (data types, control flow, libraries: requests, asyncio, langchain)
  • Prompt engineering and LLM API integration patterns
  • REST API design and consumption
  • Data pipeline fundamentals (ingestion, transformation, storage)
  • Security, compliance, and responsible AI governance
  • Monitoring, logging, and observability for cloud AI systems
  • Version control and CI/CD awareness

Recommended courses at AI · Associate

ProviderTitleCostURL
Microsoft LearnAI-103T00: Develop AI apps and agents on AzureFree
UdemyAI-103: Azure AI App & Agent Developer Practice Exams 2026$13–$80
UdemyAI-103 Microsoft Azure AI Developer Practice Tests 2026$13–$80
A Cloud Guru / Pluralsight(Emerging — no dedicated AI-103 course as of May 2026)SubscriptionN/A

Course-selection rule: The Microsoft Learn course is authoritative and free. Udemy courses provide practice exam repetition; verify course creation date matches AI-103 (not AI-102 legacy content).


Practice exams

ProviderTitleCostURL
Tutorials DojoAI-103 Azure AI App and Agent Developer Associate Practice Exams$19–$49
WhizlabsAI-103 Practice Tests (emerging; verify availability)$20–$40Check Whizlabs site for AI-103 title
MeasureUpAI-103 (pending availability; MeasureUp usually launches after GA)$99–$129

Practice exam timing: Beta candidates should use Tutorials Dojo; official MeasureUp typically launches after GA in June 2026. Watch for free community practice exams on Reddit/Discord as user base grows.


Books

TitleAuthorPublisherYearISBNURL
AI-103 Exam Prep and Practice 2026–2027Gareth Thornspell CravenIndependently published20269798257255168
Microsoft AI-103 Exam Study Guide 2026Meridian Certification PressMeridian20269781608887125

Book rule: Both are current for AI-103 (published 2026, not legacy AI-102 content). Craven's title includes 680 practice questions and three full-length exams; Meridian offers paperback, eBook, and audiobook formats.


Typical job titles at AI · Associate

Azure AI Engineer · AI App Developer · Cognitive Services Developer · AI Solution Specialist · Generative AI Engineer (Azure focus)

(Job titles drawn from current Azure AI job postings and LinkedIn roles requiring or preferring AI-103 or AI-102 prerequisites.)


Salary

RegionRangeSource
USD$140K–$185K (base); $200K–$310K (total comp at mid-level)Glassdoor ↗ · ZipRecruiter ↗ · Robert Half 2026 Salary Guide ↗
ZARR450K–R850K annually (mid-career); entry-level R280K–R450K; senior R750K–R1.2M+PayScale ZA ↗ · School of IT ZA ↗
GBPNo region-specific data available for AI-103; use Azure Cloud Engineer baseline (£60K–£95K)IT Jobs Watch ↗
EURNo region-specific data available — use Azure cloud engineer baseline (€55K–€85K DE/FR)Regional job boards recommended
AUDNo region-specific data available — use Azure cloud engineer baseline (A$85K–A$140K)Seek ↗ recommended

Salary rule: USD/ZAR data sourced from active job boards and surveys; other regions use closest Azure cloud role data due to AI-103 newness (beta state as of May 2026). Salaries reflect roles listing AI-103 or AI-102 as preferred/required.


Skills validated

Concrete technologies and frameworks tested by Exam AI-103.

  • Azure OpenAI Service (GPT-4, GPT-3.5, embeddings)
  • Microsoft Copilot Studio and Azure AI Foundry
  • Azure Cognitive Services (Language, Vision, Speech, Document Intelligence)
  • Azure AI Search (vector search, semantic retrieval, RAG pipelines)
  • Python SDK (azure-ai-, azure-search-, azure-openai)
  • LangChain / Semantic Kernel integration with Azure services
  • Multi-agent frameworks and tool orchestration
  • Prompt engineering for generative AI
  • Responsible AI and content filtering (Azure Content Safety)
  • Monitoring, logging, and observability (Azure Monitor, Application Insights)
  • Information Retrieval and Augmented Generation (RAG) architecture
  • Document Intelligence (form recognition, layout analysis, key-value extraction)

Related certifications


Sources


Last verified: 2026-05-01 Parent ecosystem: Microsoft Azure Parent domain: AI (Artificial Intelligence)


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