AI-102 Designing & Implementing an Azure AI Solution - [elearning]

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These courses cover various aspects of AI, from foundational concepts to advanced machine learning techniques, all delivered through interactive learning paths and hands-on labs. Whether you're a beginner looking to understand AI basics or a professional aiming to deepen your expertise, 

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Course Overview:

The "Designing & Implementing an Azure AI Solution" course is designed to equip participants with the knowledge and skills required to design and implement AI solutions using Microsoft Azure services. The course covers a range of AI services and tools available on Azure, focusing on their integration to build intelligent applications.

Target Audience:

Software engineers concerned with building, managing and deploying AI solutions that leverage Azure AI Services, Azure AI Search, and Azure OpenAI. They are familiar with C# or Python and have knowledge on using REST-based APIs to build computer vision, language analysis, knowledge mining, intelligent search, and generative AI solutions on Azure.

Prerequisites:

Participants should have a fundamental understanding of Azure services, machine learning concepts, programming skills (preferably Python), and familiarity with data handling and analysis.

What's Included :

• Online access for AI-102T00 course on MS Learn platform 
• Course completion certificate subject to modules & assessments completion.
• Mansi Skills guidance for onboarding & scheduling these courses on MS Learn platform.

Module 1: Get started with Azure AI Services

• Prepare to develop AI solutions on Azure
• Create and consume Azure AI services
• Secure Azure AI services
• Monitor Azure AI services
• Deploy Azure AI services in containers

Module 2: Create computer vision solutions with Azure AI Vision

Computer vision is an area of artificial intelligence that deals with visual perception. Azure AI Vision includes multiple services that support common computer vision scenarios.

• Analyze images
• Image classification with custom Azure AI Vision models
• Detect, analyse and recognize faces
• Read Text in images and documents with Azure AI Vision Service
• Analyse video

Module 3: Develop natural language processing solutions with Azure AI Services

Natural language processing (NLP) solutions use language models to interpret the semantic meaning of written or spoken language. You can use the Language Understanding service to build language models for your applications.

• Analyse text with Azure AI Language
• Create question answering solutions with Azure AI Language
• Build a conversational understanding model
• Create a custom text classification solution
• Custom named entity recognition
• Translate text with Azure Ai Translator service
• Create speech-enabled apps with Azure AI services
• Translate speech with the Azure AI Speech service

Module 4: Implement knowledge mining with Azure AI Search

Do you have information locked up in structured and unstructured data sources? Using Azure AI Search, you can extract key insights from this data, and enable applications to search and analyze them.

• Create an Azure AI search solution
  
• Create a custom skill for Azure AI search
• Create a knowledge store with Azure AI search
• Enrich your data with Azure AI Language
• Implement advanced search features in Azure AI search
• Build an Azure Machine Learning custom skill for AI search
• Search data outside the Azure platform in Azure AI Search using Azure Data Factory
• Maintain an Azure AI Search solution
• Perform search re-ranking with semantic ranking in Azure AI Search
• Perform vector search and retrieval in Azure AI search

Module 5: Develop solutions with Azure AI Document Intelligence

In this learning path, discover how Azure AI Document Intelligence solutions can enable you to capture data from typed or hand-written forms. Learn how to build a solution for your custom form types and integrate that solution into an Azure Cognitive Search pipeline.

• Design a solution that analyzes your business forms by using Azure AI Document Intelligence.
• Create a solution that analyzes common documents by using Document Intelligence.
• Create a solution that analyses different custom form types by using Document Intelligence.
• Include an Azure AI Document Intelligence service as a custom skill in an Azure AI Search pipeline.
• Plan an Azure AI Document Intelligence solution
• Use prebuilt Document intelligence models
• Extract data forms with Azure Document intelligence
• Create a composed Document intelligence model
• Build a Document intelligence custom skill for Azure AI search

This course outline provides a structured approach to learning about Azure AI solutions, from understanding the fundamentals to designing, implementing, and optimizing intelligent applications on the Microsoft Azure platform.