AI-102 Azure AI Engineer Associate Certification Guide
AI-102: Azure AI Engineer Associate Certification
Section titled “AI-102: Azure AI Engineer Associate Certification”🚀 Overview
Section titled “🚀 Overview”The Microsoft Azure AI Engineer Associate (AI-102) certification validates skills in designing and implementing AI solutions using Azure AI services, Azure Cognitive Search, and Azure Applied AI Services. This intermediate-level certification is for professionals who analyze requirements for AI solutions and design solutions that meet business and technical requirements.
🎯 Who Should Take This Exam?
Section titled “🎯 Who Should Take This Exam?”- AI engineers with experience in Azure AI services
- Software developers specializing in AI solutions
- Data scientists working with Azure AI platform
- Solution architects designing AI systems
- Machine learning engineers using Azure ML
- Professionals with 6+ months of Azure AI experience
📋 Exam Details
Section titled “📋 Exam Details”- Exam Code: AI-102
- Duration: 120 minutes
- Questions: 40-60 questions
- Passing Score: 700 (out of 1000)
- Cost: $165 USD
- Languages: Available in multiple languages
- Prerequisites: AI-900 recommended, hands-on Azure AI experience required
🧠 Skills Measured
Section titled “🧠 Skills Measured”1. Plan and Manage an Azure AI Solution (15-20%)
Section titled “1. Plan and Manage an Azure AI Solution (15-20%)”- Select appropriate AI services
- Plan and configure security for AI services
- Monitor AI services
2. Implement Decision Support Solutions (15-20%)
Section titled “2. Implement Decision Support Solutions (15-20%)”- Create decision support solutions using Azure Applied AI Services
- Create QnA solutions
- Create conversational language understanding solutions
3. Implement Computer Vision Solutions (20-25%)
Section titled “3. Implement Computer Vision Solutions (20-25%)”- Analyze images and videos
- Extract text from images and documents
- Implement facial recognition solutions
4. Implement Natural Language Processing Solutions (20-25%)
Section titled “4. Implement Natural Language Processing Solutions (20-25%)”- Analyze text with Language service
- Process speech with Speech service
- Translate text and speech
5. Implement Knowledge Mining and Document Intelligence Solutions (15-20%)
Section titled “5. Implement Knowledge Mining and Document Intelligence Solutions (15-20%)”- Implement Azure Cognitive Search solutions
- Implement document intelligence solutions
6. Implement Generative AI Solutions (10-15%)
Section titled “6. Implement Generative AI Solutions (10-15%)”- Use Azure OpenAI Service
- Optimize generative AI solutions
📚 Official Resources
Section titled “📚 Official Resources”- Microsoft Learn AI-102 Path - Free official learning path
- AI-102 Exam Page - Official exam information
- Azure AI Services Documentation - Comprehensive AI services docs
- Practice Assessment - Free practice test
🛠️ Key Azure AI Services to Master
Section titled “🛠️ Key Azure AI Services to Master”Core AI Services
Section titled “Core AI Services”- Azure OpenAI Service - GPT models and generative AI
- Computer Vision - Image analysis and OCR
- Face API - Face detection and recognition
- Speech Services - Speech-to-text and text-to-speech
- Language Service - Text analysis and NLP
Applied AI Services
Section titled “Applied AI Services”- Form Recognizer - Document intelligence
- Video Indexer - Video content analysis
- Immersive Reader - Reading comprehension
- Bot Framework - Conversational AI
Supporting Services
Section titled “Supporting Services”- Azure Cognitive Search - AI-powered search
- Azure Machine Learning - ML model deployment
- Logic Apps - AI workflow integration
🎓 Study Strategy
Section titled “🎓 Study Strategy”- Hands-on Labs: Complete all Microsoft Learn labs
- Build Projects: Create end-to-end AI solutions
- API Practice: Work extensively with REST APIs and SDKs
- Multi-service Integration: Combine different AI services
- Performance Optimization: Learn to optimize AI solutions
- Security Implementation: Understand AI security best practices
💡 Practical Tips
Section titled “💡 Practical Tips”- Use Free Tiers: Leverage free quotas for practice
- Code in Multiple Languages: Know Python, C#, or JavaScript SDKs
- Understand Pricing: Learn cost optimization strategies
- Test Edge Cases: Practice with various data types and scenarios
- Monitor Performance: Use Application Insights and monitoring
✅ Benefits of AI-102 Certification
Section titled “✅ Benefits of AI-102 Certification”- AI Expertise: Validates comprehensive Azure AI knowledge
- Career Advancement: Qualifies for AI engineer and architect roles
- Salary Premium: AI-certified professionals earn significantly more
- Industry Demand: High demand for Azure AI specialists
- Technical Leadership: Positions you as an AI technical expert
🚀 Career Paths After AI-102
Section titled “🚀 Career Paths After AI-102”- Azure Solutions Architect Expert - Design enterprise AI solutions
- AI Specialty Certifications - Deep dive into specific AI domains
- Data Science Certifications - Combine with DP-100 or DP-203
- MLOps Focus - Specialize in AI operations and deployment
💼 Salary Expectations
Section titled “💼 Salary Expectations”AI-102 certified professionals typically earn:
- AI Engineer: $95,000 - $130,000
- Senior AI Engineer: $130,000 - $170,000
- AI Architect: $150,000 - $200,000+
- AI Consultant: $120,000 - $180,000
Salaries vary by location, experience, and company size
🔄 Relationship with Other Certifications
Section titled “🔄 Relationship with Other Certifications”- Prerequisites: AI-900 (recommended)
- Complements: AZ-204, DP-100, AZ-305
- Next Steps: Azure specializations or architect-level certs
Ready to become an Azure AI Engineer? Start with the official Microsoft Learn path today!