Azure AI Engineer Associate (AI-102)

The AI-102: Microsoft Azure AI Engineer Associate certification is designed to equip IT professionals and developers with the skills to design, build, and deploy AI solutions using Microsoft Azure. Throughout this training, participants will learn how to implement Azure AI services, including Azure AI Language, Azure AI Vision, Azure AI Document Intelligence, and Azure OpenAI. The course covers planning and managing Azure AI solutions, implementing generative AI, computer vision, natural language processing, knowledge mining, and conversational AI solutions. By the end of the course, learners will be proficient in deploying AI models, managing Azure AI resources, and ensuring secure and scalable AI solutions in cloud environments.

Job Opportunities

With the AI-102 certification, professionals can pursue roles such as Azure AI Engineer, Machine Learning Engineer, Data Scientist, AI Solutions Architect, and Cloud AI Developer. In these roles, certified individuals are responsible for designing and implementing AI solutions, integrating Azure AI services with applications, optimizing AI models for performance, and ensuring compliance with security and ethical standards. The certification validates expertise in Azure AI technologies, making professionals valuable to organizations leveraging AI for business transformation, automation, and innovation.

Target Audience and Prerequisites

The AI-102 certification is ideal for software developers, data scientists, and IT professionals who design and implement AI solutions on the Microsoft Azure platform.

The recommended prerequisites include

• Experience with Azure services,
• Proficiency in programming languages such as Python or C#, and
• Familiarity with REST APIs and SDKs.

Knowledge of machine learning concepts and Azure data services is beneficial. This certification is particularly valuable for those looking to validate their expertise in building AI solutions and advancing their careers in AI and cloud computing. By obtaining the AI-102 certification, individuals demonstrate their ability to create scalable, secure, and efficient AI solutions, making them suitable for roles in AI-driven organizations.

Plan and Manage an Azure AI Solution (15–20%)

Select the appropriate Azure AI service

• Evaluate requirements for AI solutions
• Select Azure AI Vision, Azure AI Language, or Azure AI Document Intelligence
• Integrate Azure OpenAI for generative AI solutions
• Assess Azure AI Search for knowledge mining

Plan and deploy Azure AI services

• Determine compute and storage requirements
• Configure Azure AI service endpoints
• Manage Azure AI service resources
• Implement cost management and monitoring

Secure Azure AI solutions

• Configure role-based access control (RBAC) for Azure AI services
• Implement private endpoints and virtual networks
• Manage API keys and authentication
• Ensure compliance with AI ethical principles

Implement Generative AI Solutions (15–20%)

Implement Azure OpenAI solutions

• Configure Azure OpenAI service
• Integrate Azure OpenAI models into applications
• Manage prompt engineering and fine-tuning
• Monitor and optimize generative AI performance

Deploy conversational AI solutions

• Design and implement chatbots using Azure AI Bot Service
• Integrate Azure AI Language for conversational understanding
• Configure multi-turn conversation flows

Implement Computer Vision Solutions (20–25%)

Analyze images and videos

• Implement Azure AI Vision for image analysis
• Extract text from images using OCR
• Analyze video content with Azure AI Vision
• Configure custom vision models

Deploy computer vision solutions

• Integrate Azure AI Vision with applications
• Configure scalability and performance settings
• Manage model training and deployment

Implement Natural Language Processing Solutions (20–25%)

Process and analyze text

• Implement Azure AI Language for text analytics
• Perform sentiment analysis and key phrase extraction
• Configure entity recognition and language detection
• Integrate question-answering capabilities

Implement conversational AI

• Design conversational AI solutions with Azure AI Language
• Configure language understanding models
• Integrate with Azure AI Bot Service

Implement Knowledge Mining Solutions (15–20%)

Implement Azure AI Search

• Create and configure search indexes
• Implement document extraction with Azure AI Document Intelligence
• Configure search enrichment pipelines
• Integrate search solutions with applications

Manage knowledge mining solutions

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• Monitor and optimize search performance
• Configure access control for search services
• Implement data ingestion and indexing