AI-102T00: Designing and Implementing a Microsoft Azure AI Solution

Module 1: Plan and Manage an Azure AI Solution

• Azure AI solution planning
• Selecting appropriate Azure AI services
• AI solution architecture
• Azure AI resources
• Authentication and authorization
• Secure AI solution development
• Monitoring AI solutions
• Responsible AI principles
• Cost and performance considerations

Module 2: Implement Decision-Support Solutions

• Azure AI Vision
• Image analysis
• Image classification
• Object detection
• Optical character recognition (OCR)
• Face-related capabilities
• Custom Vision solutions
• Video analysis
• Azure AI Content Safety

Module 3: Implement Azure AI Vision Solutions

• Image analysis
• Image classification
• Object detection
• Optical character recognition
• Face detection and analysis
• Custom Vision
• Image and video processing
• Azure AI Vision SDKs and APIs

Module 4: Implement Natural Language Processing Solutions

• Azure AI Language
• Text analysis
• Sentiment analysis
• Key phrase extraction
• Named entity recognition
• Custom text classification
• Question answering
• Conversational language understanding
• Azure AI Speech
• Speech recognition
• Speech synthesis
• Speech translation

Module 5: Implement Knowledge Mining and Document Intelligence Solutions

• Azure AI Search
• Search indexes
• Indexers
• Data sources
• Skillsets
• Semantic search
• Vector search
• Knowledge mining
• Azure AI Document Intelligence
• Prebuilt models
• Custom document models
• Information extraction
• OCR and document analysis

Module 6: Implement Generative AI Solutions

• Azure OpenAI
• Generative AI fundamentals
• Generative AI models
• Prompt engineering
• Azure OpenAI APIs
• Chat completion
• Embeddings
• Retrieval-augmented generation concepts
• Responsible generative AI
• Generative AI application integration

• AI Engineers
• Azure AI Developers
• Software Developers
• Cloud Developers
• Machine Learning Professionals
• Data Scientists
• Application Developers
• AI Solution Developers
• Cloud Engineers
• Software Engineers working with AI applications
• Professionals integrating AI capabilities into Azure applications
• Developers looking to build expertise in Azure AI services and generative AI

• Understand how to plan and manage Azure AI solutions.
• Select appropriate Azure AI services and resources for different business requirements.
• Implement computer vision solutions for image and video analysis.
• Develop solutions using Azure AI Language for text analysis and natural language processing.
• Implement speech recognition, synthesis, and translation solutions.
• Build knowledge-mining solutions using Azure AI Search.
• Extract information from documents using Azure AI Document Intelligence.
• Develop generative AI applications using Azure OpenAI.
• Work with Azure AI SDKs, REST APIs, and development tools.
• Implement authentication, security, monitoring, and responsible AI practices.
• Integrate AI capabilities into cloud-based applications and business solutions.
• Develop practical skills for designing and implementing AI-powered Azure solutions.

• Experience with software development and programming.
• Familiarity with Microsoft Azure and cloud computing concepts.
• Working knowledge of Python or C#.
• Experience using REST APIs and SDKs.
• Basic understanding of JSON and HTTP-based services.
• Familiarity with Azure Portal and Azure resources.
• Basic understanding of artificial intelligence and machine learning concepts.
• Familiarity with application development, authentication, and security concepts.

Exam: AI-102: Designing and Implementing a Microsoft Azure AI Solution
Former Passing Score: 700 or greater