Microsoft Certified: Azure AI Cloud Developer Associate Certification
Microsoft Certified: Azure AI Cloud Developer Associate is an intermediate-level certification for developers working on AI solutions in Microsoft Azure.
The certification covers the development work that happens behind an AI application. This includes handling data, working with containers, connecting Azure services, managing application settings, and monitoring applications after deployment.
NYTCC provides Azure AI Cloud Developer Associate training for candidates who want to prepare for Microsoft Exam AI-200: Developing AI Cloud Solutions on Azure.
Why Choose Microsoft Certified: Azure AI Cloud Developer Associate Certification Training?
Many developers already know how to write application code but need more experience with the Azure services used to run that code in the cloud.
This certification focuses on that area.
The AI-200 exam covers four major parts of Azure development:
- Containerized solutions
- AI solutions using Azure data services
- Connections to Azure services
- Security, monitoring, and troubleshooting
Microsoft says candidates should be comfortable with Azure SDKs, Azure data management services, messaging and eventing, vector databases, Python, monitoring, troubleshooting, and containerized applications.
For someone working toward an Azure AI Developer certification, these are useful skills to have beyond exam preparation.
The training can help you understand how different Azure services fit together and where they are used when developing an AI-based application.
Course Structure
Everything you need to know about the curriculum and outcomes.
Why Choose Us?
NYTCC offers online training for professionals who prefer to study without attending a physical classroom.
The course is built around the certification topics, so you can spend your preparation time on the Azure services and concepts that matter for the exam.
What You Can Expect
- Online training that you can access from your preferred location
- Exam-focused preparation based on the AI-200 skill areas
- Structured learning covering the main Azure development topics
- Flexible study for working professionals and students
- Coverage of current exam topics
- Guidance for certification exam preparation
The aim is simple: help you understand the subjects covered by the certification and give you a clear path for preparing for the exam.
Course Details of Microsoft Certified: Azure AI Cloud Developer Associate Certification
| Course Detail | Information |
| Certification | Microsoft Certified: Azure AI Cloud Developer Associate |
| Certification Level | Intermediate |
| Role | Developer |
| Product | Azure |
| Subject | Application Development, Artificial Intelligence |
| Exam | AI-200 |
| Exam Name | Developing AI Cloud Solutions on Azure |
| Training Mode | Online |
Microsoft currently lists the credential as an Intermediate Azure certification for the Developer role, covering application development and artificial intelligence.
Microsoft Certified: Azure AI Cloud Developer Associate Certification Exam Format
The certification exam is AI-200: Developing AI Cloud Solutions on Azure.
Microsoft currently gives candidates 120 minutes to complete the assessment. The exam is proctored and may contain interactive components. Microsoft also provides an exam sandbox so candidates can become familiar with the testing interface before the actual exam.
| Exam Information | Details |
| Exam Code | AI-200 |
| Exam Name | Developing AI Cloud Solutions on Azure |
| Duration | 120 minutes |
| Questions | Microsoft does not publish one fixed question count |
| Passing Score | 700 or greater |
| Exam Delivery | Proctored |
| Exam Language | English |
Microsoft's study guide confirms that a score of 700 or greater is required to pass.
Microsoft Certified: Azure AI Cloud Developer Associate Certification Examination Cost
The Microsoft exam fee depends on the country or region where you take the exam.
At the time of checking, Microsoft displays $165 USD on its U.S. certification page and notes that the actual price is based on the country or region where the exam is proctored.
For candidates outside the United States, the final amount may therefore be different.
Training fees charged by NYTCC and the Microsoft exam fee are separate costs.
Before booking your exam, check Microsoft's registration page for the current price applicable to your location.
Domains of Microsoft Certified: Azure AI Cloud Developer Associate Certification
Knowledge weightage as per official certification standards.
The AI-200 exam is divided into four skill areas.
| Domain / Area of Expertise | Weight | What You Need to Know |
| Develop containerized solutions on Azure | 20–25% | Container Registry, App Service, Container Apps, AKS, deployment, scaling, logs, and troubleshooting |
| Develop AI solutions by using Azure data management services | 25–30% | Cosmos DB for NoSQL, PostgreSQL, vector search, embeddings, RAG, and Azure Managed Redis |
| Connect to and consume Azure services | 20–25% | Service Bus, Event Grid, messaging, event-driven applications, Azure Functions, triggers, and bindings |
| Secure, monitor, troubleshoot Azure solutions | 20–25% | Key Vault, App Configuration, OpenTelemetry, KQL, monitoring, and troubleshooting |
Microsoft's study guide recommends hands-on experience before taking the exam and provides learning resources for the technologies included in these areas.
Career Post Microsoft Certified: Azure AI Cloud Developer Associate Certification
The certification can be useful if you want to move further into Azure application and AI development.
It shows that you have studied a range of development tasks rather than only one Azure service. The exam covers containers, data services, application integration, security, monitoring, and troubleshooting.
Depending on your experience, you may consider roles such as:
- Azure Developer
- AI Developer
- Cloud Developer
- AI Application Developer
- Cloud Application Engineer
- Back-end Developer
- Software Engineer
Your certification is only one part of your career profile. Programming experience, projects, Azure knowledge, communication skills, and previous work experience can also affect the roles available to you.
Average Salary
Microsoft does not publish an official average salary for people who hold the Microsoft Certified: Azure AI Cloud Developer Associate certification.
There is also no single salary figure that applies to every Azure AI developer.
Pay can change based on:
- Experience
- Job title
- Location
- Programming skills
- Azure experience
- AI development knowledge
- Industry
- Employer
- Level of responsibility
For example, someone with several years of Azure development experience may have very different earning potential from someone who has just completed the certification.
For this reason, salary figures should be researched according to the specific job title and location rather than treated as a guaranteed result of certification.
Frequently Asked Questions
What is Microsoft Certified: Azure AI Cloud Developer Associate?
It is an intermediate Microsoft certification for developers who contribute to implementing AI solutions on Azure. It covers back-end services and several stages of the development lifecycle, including development, deployment, security, and monitoring.
What is the exam code for Azure AI Cloud Developer Associate?
The required exam is AI-200: Developing AI Cloud Solutions on Azure.
How long is the AI-200 exam?
Microsoft currently lists 120 minutes for the AI-200 assessment. The exam is proctored and may include interactive components.
What is the passing score for AI-200?
You need a score of 700 or greater to pass the exam.
Is there a fixed number of questions in the AI-200 exam?
Microsoft does not publish one fixed question count on the certification page. Candidates should prepare according to the published skills and exam objectives rather than a specific number of questions.
Is previous Azure experience required?
Microsoft does not list a mandatory prerequisite certification. However, it recommends proficiency with Azure SDKs, data management, monitoring, messaging, vector databases, Python, and containerized applications.
What jobs can I pursue after the certification?
Depending on your existing experience, the certification may support roles such as Azure Developer, Cloud Developer, AI Developer, AI Application Developer, and Cloud Application Engineer.
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