Who it fits
Azure AI engineers and developers who build, manage, and deploy agents and AI solutions that use Microsoft Foundry.
AI-103 is Microsoft’s current Azure AI apps and agents certification track. It is aimed at builders, not general beginners: people designing, developing, and deploying Azure AI solutions with Python, Azure services, Microsoft Foundry, and agent-oriented workflows.
The AI-103 practice page includes the free daily set, the exam unlock, PDF options, and an Azure AI bundle option that is already live on dotCreds.
Choose AI-103 if your target work is building modern Azure AI apps and agents with Foundry, retrieval, tools, orchestration, monitoring, and responsible AI controls. If you only want fundamentals, start with AI-901 instead.
Azure AI engineers and developers who build, manage, and deploy agents and AI solutions that use Microsoft Foundry.
Python app development plus familiarity with general AI, generative AI, and Azure services.
Foundry projects, generative apps, agent design, RAG, function calling and tools, monitoring, safety, governance, vision, text, and extraction solutions.
Start the AI-103 practice test, compare it with AI-901 and GH-600, or review the AI-103 vs AI-102 legacy comparison.
According to Microsoft Learn, the AI-103 audience is an Azure AI engineer who builds, manages, and deploys agents and AI solutions that take advantage of Microsoft Foundry. Microsoft also says candidates should have experience developing apps with Python and should be familiar with general AI, generative AI, and Azure services.
AI-103 checks whether you can design and ship Azure AI applications, not just describe them. It covers planning, generative apps, agents, model and app evaluation, responsible AI, security, and several classic AI service lanes that still matter in production.
The AI-103 practice page already has the free set, the full-bank unlock, PDF options, and an Azure AI bundle option.
| Domain | Weight | What to practice |
|---|---|---|
| Plan and manage an Azure AI solution | 25–30% | Foundry projects, quotas, scaling, rate limits, cost, monitoring, grounding quality, managed identity, private networking, keyless credentials, role policies, and responsible AI controls. |
| Implement generative AI and agentic solutions | 30–35% | LLM and multimodal model selection, RAG, workflow design, evaluation, Foundry SDKs and connectors, agent roles, tool schemas, function-calling, memory, orchestration, and safeguarded automation. |
| Implement computer vision solutions | 10–15% | Vision workflows and multimodal solution patterns that fit Azure AI application delivery. |
| Implement text analysis solutions | 10–15% | Language and text analysis service use, plus production-minded implementation choices. |
| Implement information extraction solutions | 10–15% | Document and structured extraction workflows that fit Azure AI applications and pipelines. |
Be careful not to flatten these into “same exam, different number.” The safe comparison is focus. AI-103 is the current Microsoft Azure AI apps and agents certification centered on Python, Microsoft Foundry, and agent implementation. AI-102 retired on June 30, 2026, so use the AI-103 vs AI-102 comparison only when you need legacy Azure AI Engineer context.
AI-901 is the fundamentals and beginner-friendly Microsoft AI starting point. AI-103 is intermediate and implementation-focused. Take AI-901 if you still need vocabulary and basic service awareness. Take AI-103 if your real work is building and shipping Azure AI apps and agents.
GH-600 is the GitHub agentic developer lane on dotCreds and is more GitHub and workflow-tooling oriented. AI-103 is the Azure and Microsoft Foundry lane. If your job context is Azure AI platform delivery, AI-103 is the closer fit. If your path is more GitHub-centered agentic development workflow, GH-600 is the cleaner comparison page.
Compare the current Azure AI apps and agents lane against the retired Azure AI Engineer Associate path.
Use the Microsoft comparison page when you are still deciding whether your best fit is data, Power Platform, Power BI, or Azure AI apps and agents.
Open this if you want the GitHub-side agentic development path as a contrast to Azure and Foundry.
Yes. Microsoft Learn lists Azure AI Apps and Agents Developer Associate as the current AI-103 certification.
Azure AI engineers and developers who build, manage, and deploy agents and AI solutions with Microsoft Foundry.
Yes, Microsoft explicitly says candidates should have experience developing apps by using Python.
No. It is intermediate and much closer to implementation work than a fundamentals cert like AI-901.
Both matter, but Microsoft gives a large weight to generative AI and agentic solutions, plus solution planning, monitoring, and governance.
Study Foundry, RAG, agents, tools, evaluation, monitoring, safety, identity, networking, and the classic AI service lanes that remain on the official blueprint.
Microsoft, Azure, Power BI, Power Platform, and related exam names are trademarks of Microsoft. dotCreds is not affiliated with Microsoft.
Flexible search understands AI-103, Foundry, agents, Azure AI, AI-102, AI-901, and GH-600 terms.