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

By completing this course, learners were able to:

• Design Azure AI solutions based on business and technical requirements.
• Select appropriate Azure AI services for different use cases.
• Build applications using Azure AI REST APIs and SDKs.
• Implement computer vision and image-processing solutions.
• Develop natural language and speech-processing solutions.
• Build knowledge-mining and document-intelligence solutions.
• Implement generative AI capabilities using Azure AI services.
• Integrate AI capabilities into applications.
• Secure, monitor, and manage Azure AI solutions.
• Apply responsible AI principles.
• Optimize AI applications for performance and operational requirements.
• Prepare for the AI-102: Designing and Implementing a Microsoft Azure AI Solution examination that was associated with the retired certification.

Module 1: Plan and Manage an Azure AI Solution

• Select the appropriate Azure AI service
• Plan an AI solution
• Create and deploy Azure AI resources
• Configure AI services
• Manage AI resources
• Monitor AI services
• Secure Azure AI solutions
• Implement responsible AI principles

Module 2: Implement Decision-Support Solutions

• Analyze business requirements
• Select appropriate AI capabilities
• Implement decision-support solutions
• Configure and integrate AI services
• Evaluate AI solution requirements

Module 3: Implement Azure AI Vision Solutions

• Analyze images
• Process images and video
• Use Azure AI Vision
• Implement image classification
• Implement object detection
• Extract information from images
• Use image analysis capabilities
• Implement optical character recognition
• Process video using Azure AI capabilities

Module 4: Implement Natural Language Processing Solutions

• Analyze text
• Implement text analytics
• Extract key phrases
• Perform sentiment analysis
• Recognize named entities
• Implement language detection
• Implement speech recognition
• Implement speech synthesis
• Translate text and speech
• Build conversational language solutions
• Implement question answering
• Work with Azure AI Language capabilities

Module 5: Implement Knowledge Mining and Document Intelligence Solutions

• Implement Azure AI Search
• Create searchable data stores
• Build indexing pipelines
• Configure search indexes
• Implement skillsets
• Extract information from documents
• Use Azure AI Document Intelligence
• Process forms and structured documents
• Implement knowledge-mining solutions

Module 6: Implement Generative AI Solutions

• Understand generative AI concepts
• Implement generative AI applications
• Work with Azure OpenAI capabilities
• Select appropriate generative AI models
• Deploy and consume models
• Design prompts
• Implement prompt engineering techniques
• Ground model responses with organizational data
• Integrate generative AI into applications
• Evaluate AI-generated responses
• Apply responsible AI practices

5 Days

• Creating and configuring Azure AI resources.
• Calling Azure AI services through APIs and SDKs.
• Implementing image-analysis solutions.
• Processing images and extracting visual information.
• Implementing OCR.
• Building natural language processing solutions.
• Performing text analysis and language detection.
• Implementing speech recognition and speech synthesis.
• Building conversational AI solutions.
• Implementing question-answering capabilities.
• Creating Azure AI Search indexes.
• Building knowledge-mining pipelines.
• Processing documents with Azure AI Document Intelligence.
• Implementing Azure OpenAI solutions.
• Working with generative AI models.
• Applying prompt engineering techniques.
• Integrating AI capabilities into applications.
• Monitoring, securing, and managing AI solutions.

Course Completion Certificate by Network Binary

• Azure AI Engineers
• AI Engineers
• Software Developers
• Cloud Application Developers
• AI Solution Developers
• Application Developers
• Technical Professionals implementing Azure AI solutions

• Programming using Python or C#.
• REST APIs and SDKs.
• Azure AI services.
• Basic application development.
• AI and machine-learning concepts.
• Working with Azure resources.
• Building applications that integrate cloud services.