Designing and Implementing a Microsoft Azure AI Solution

AI-102
Designing Implementing Microsoft Azure AI
Designing Implementing Microsoft Azure AI

Designing Implementing Microsoft Azure AI

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Designing and Implementing a Microsoft Azure AI Solution

  1. The AI-102: Designing and Implementing a Microsoft Azure AI Solution certification exam validates your expertise in creating AI-enabled applications using Azure Cognitive Services, Azure Machine Learning, and related Microsoft tools. The focus is on solution architecture, model integration, and cognitive API usage to deliver intelligent, scalable, and secure AI systems.
  2. It is a key certification for developers and architects building AI-based business applications on Azure.
  3. ✅ Why Should You Take the AI-102 Certification?
  4. 📈 Stay competitive in the AI-driven job market
  5. 🧠 Master Azure tools for vision, language, speech, and decision-making solutions
  6. 🛠️ Validate real-world skills in integrating machine learning and AI services
  7. 💼 Ideal for AI Engineers, Data Scientists, Azure Developers, and software engineers
  8. 🎓 Fulfill the demand for skilled professionals in intelligent app development
  9. 🌐 Globally recognized Microsoft certification that opens doors to senior technical roles
  10. 👤 Who Should Take the AI-102 Exam?
  11. AI Engineers and Software Developers using Azure AI
  12. Data Scientists working with machine learning models on Azure
  13. Solution Architects building smart cloud-native applications
  14. Professionals involved in AI planning, model deployment, and cognitive services
  15. Candidates with prior experience in C#, Python, or JavaScript with a focus on Azure
  16. 🔍 Skills Measured in AI-102
  17. Planning and managing Azure AI solutions
  18. Implementing natural language processing (NLP)
  19. Implementing computer vision solutions
  20. Implementing conversational AI (bots and QnA Maker)
  21. Integrating Azure Cognitive Services and Azure OpenAI Service
  22. Monitoring, troubleshooting, and optimizing AI workloads
  23. Securing, deploying, and managing AI services in production

Prerequisites

  1. 1–2 years of experience developing AI solutions on Azure
  2. Understanding of REST APIs, JSON, Python or C#, and Azure SDKs
  3. Familiarity with machine learning concepts and responsible AI practices

🧠 Recommended Learning Resources

  1. Microsoft Learn Path: Designing and Implementing an Azure AI Solution
  2. Practice exams from MeasureUp, Whizlabs
  3. Instructor-led training from Microsoft Learning Partners
  4. Hands-on experience with Azure AI Studio, Language Studio, and Azure ML Studio

Exam details

Exam Code: AI-102

No. of Questions: 40

Launch Date: 2021-02-23

Exam Length: 100 Minutes

Passing Score: 700

Language: English, Japanese, Korean, Simplified Chinese

Retirement Date: N/A

Certificate Type: Pearson VUE / Microsoft Learn (online proctored or center)

Terms & Conditions

  • The exam voucher will be emailed and covers the full exam cost.
  • It is valid only within the country of purchase.
  • The exam must be scheduled and completed before the expiration date.
  • Each voucher is for a single use by one individual, for one exam discount or fee.
  • Please confirm the validity period—usually between 6 to 10 months—before buying.

FAQ

FAQ
Is AI-102 suitable for beginners in AI?
AI-102 is intermediate-level, ideal for those with some experience in Azure and basic knowledge of AI or machine learning concepts.
Is coding required for this certification?
Yes, experience with Python or C# is helpful, as the exam involves using SDKs and integrating AI services through code.
What happens after I pass the AI-102 exam?
You earn the title Microsoft Certified: Azure AI Engineer Associate, which enhances your profile and unlocks further certifications like Azure Data Scientist Associate.
How long is the AI-102 certification valid?
Microsoft role-based certifications are valid for 1 year, with free online renewal.

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