Fee $165 (US price)Level IntermediateAccess Open to anyoneDifficulty 3/5
1. The quick verdict
Worth it if you build AI applications and agents on Azure with Python. AI-103 replaced the retired Azure AI Engineer (AI-102), and a third of it is now generative AI and agents in Microsoft Foundry.
The one thing to know before you register: it is also the required stepping stone to the Multi-Agent AI Solutions Expert (AI-500).
2. Our ratings
3. At a glance
| Field | Details |
|---|---|
| Level | Associate (Intermediate) |
| Access | Open to anyone |
| Exam fee | US$165 in the United States for Associate exams; varies by country. Confirm at checkout. |
| Retake policy | Fee each attempt. Wait 24 hours after the 1st fail, then 14 days. Max 5 attempts in 12 months. |
| Format | Pearson VUE, online proctored or test centre. 120 minutes, with interactive components. Microsoft Learn is available during the exam. 10 languages. |
| Passing score | 700 on a 1,000 scale |
| Coding needed | Reading and reasoning about Python and configuration. |
| Formal prerequisites | None |
| Realistic prerequisites | Python development experience and familiarity with generative AI and Azure services. |
| Validity & renewal | 1 year. Renew free with an online, open-book assessment in the 6 months before expiry. |
| Estimated prep time | Building on Azure AI now: 30–45 hours. Developer new to Azure AI: 60–80 hours. |
| Official exam guide | AI-103 study guide (Microsoft Learn) |
Prep-time estimates are our own judgment, not a Microsoft figure.
4. What the exam tests
| Domain | Weight | What it means in plain language |
|---|---|---|
| Implement generative AI and agentic solutions | 30–35% | Deploying models, building RAG apps, and creating single and multi-agent solutions with tools and memory. |
| Plan and manage an Azure AI solution | 25–30% | Choosing Foundry services and models, deployments and CI/CD, quotas, monitoring, security and responsible AI controls. |
| Implement computer vision solutions | 10–15% | Image and video generation, multimodal understanding and content filtering. |
| Implement text analysis solutions | 10–15% | Entity extraction, sentiment, summarization and speech. |
| Implement information extraction solutions | 10–15% | Document ingestion, indexing, vector search, OCR and structured output. |
5. Who should take it, and who shouldn’t
Take it if you are:
- A developer or AI engineer building generative AI apps or agents on Azure.
- A holder of the retired AI-102 who wants a current credential.
- Someone aiming for AI-500, which requires AI-103.
Skip it or wait if you are:
- New to Python or Azure. Start with AI-901.
- Building agents in Copilot Studio with low code. AB-620 fits better.
- Focused on MLOps and model lifecycle. AI-300 fits better.
6. What to expect after passing
- What it signals: You can build, secure and run AI applications and agents on Azure.
- What it doesn’t prove: Large-scale multi-agent architecture, or ML model training.
- Where it’s asked for: Azure AI engineer and developer roles, and Microsoft partner requirements. It inherits the recognition AI-102 had.
- Natural next step: AI-500 (Multi-Agent AI Solutions Expert).
7. How to prepare
- Official: The AI-103 study guide, the Microsoft Learn course Develop AI apps and agents on Azure (AI-103T00), Azure AI Foundry, Azure OpenAI and Azure AI Search documentation, and the exam sandbox.
- Practice: Use scenario questions that weigh service choice, cost and safety. Avoid AI-102 material, which misses most of the agent content.
Hands-on:
- Build a RAG app over your own documents with Azure AI Search and a Foundry model (Generative AI, Information extraction).
- Create an agent with two tools and memory, then add content-safety filters (Generative AI and agents, Plan and manage).
- Extract structured data from scanned documents with OCR (Information extraction).
8. Compare with
- AWS Certified Generative AI Developer – Professional (AIP-C01), $300: AWS’s equivalent at a higher level, built around Amazon Bedrock.
- Claude Certified Developer – Foundations (CCDV-F), $125: Building on the Claude API, tools and MCP; partner-company employees only.
- Microsoft Multi-Agent AI Solutions Expert (AI-500): The expert step after AI-103.
See all Microsoft guides → · Compare all AI certifications →
9. FAQ
Is AI-103 the replacement for AI-102?
In practice, yes. The Azure AI Engineer certification (AI-102) is retired, and AI-103 is Microsoft’s current Azure AI developer exam, with much more on agents.
Which programming language does AI-103 use?
Python. The study guide asks for Python development experience.
Can I use Microsoft Learn during the exam?
Yes. Microsoft allows access to Microsoft Learn during Associate and Expert exams, but the timer keeps running.
How do I keep it active?
It lasts a year. Renew free with an online assessment in the 6 months before it expires.
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Sources
- Azure AI Apps and Agents Developer Associate certification, Microsoft Learn: level, duration, languages
- AI-103 study guide, Microsoft Learn: domains, weights, audience
- Azure AI Engineer Associate (retired), Microsoft Learn
- Exam duration and exam experience, Microsoft Learn: Microsoft Learn access during exams
- Exam retake policy, Microsoft Learn
- Renew your Microsoft certification, Microsoft Learn