Курс за AI-102: Designing and Implementing a Microsoft Azure AI Solution | Најдобар Курс во Македонија

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AI-102 Designing and Implementing an Azure AI Solution is intended for software developers wanting to build AI infused applications that leverage Azure AI Services, Azure AI Search, and Azure OpenAI. The course will use C# or Python as the programming language.

LEARNING PATH 1
Get started with Azure AI Services

Module 1: Prepare to develop AI solutions on Azure
Module 2: Create and consume Azure AI services
Module 3: Secure Azure AI services
Module 4: Monitor Azure AI services
Module 5: Deploy Azure AI services in containers

LEARNING PATH 2
Develop decision support solutions with Azure AI Services

Module 1: Classify and moderate text with Azure Content Moderator

LEARNING PATH 3
Create computer vision solutions with Azure AI Vision

Module 1: Analyze images
Module 2: Image classification with custom Azure AI Vision models
Module 3: Detect, analyze, and recognize faces
Module 4: Read Text in images and documents with the Azure AI Vision Service
Module 5: Analyze video

LEARNING PATH 4
Develop natural language processing solutions with Azure AI Services

Module 1: Analyze text with Azure AI Language
Module 2: Build a question answering solution
Module 3: Build a conversational language understanding model
Module 4: Create a custom text classification solution
Module 5: Custom named entity recognition
Module 6: Translate text with Azure AI Translator service
Module 7: Create speech-enabled apps with Azure AI services
Module 8: Translate speech with the Azure AI Speech service

LEARNING PATH 5
Implement knowledge mining with Azure AI Search

Module 1: Create an Azure AI Search solution
Module 2: Create a custom skill for Azure AI Search
Module 3: Create a knowledge store with Azure AI Search
Module 4: Enrich your data with Azure AI Language
Module 5: Implement advanced search features in Azure AI Search
Module 6: Build an Azure Machine Learning custom skill for Azure AI Search
Module 7: Search data outside the Azure platform in Azure AI Search using Azure Data Factory
Module 8: Maintain an Azure AI Search solution
Module 9: Perform search re-ranking with semantic ranking in Azure AI Search
Module 10: Perform vector search and retrieval in Azure AI Search

LEARNING PATH 6
Develop solutions with Azure AI Document Intelligence

Module 1: Plan an Azure AI Document Intelligence solution
Module 2: Use prebuilt Form Recognizer models
Module 3: Extract data from forms with Azure Document Intelligence
Module 4: Create a composed Form Recognizer model
Module 5: Build a Document Intelligence custom skill for Azure AI Search

LEARNING PATH 7
Develop Generative AI solutions with Azure OpenAI Service

Module 1: Get started with Azure OpenAI Service
Module 2: Build natural language solutions with Azure OpenAI Service
Module 3: Apply prompt engineering with Azure OpenAI Service
Module 4: Generate code with Azure OpenAI Service
Module 5: Generate images with Azure OpenAI Service
Module 6: Implement Retrieval Augmented Generation (RAG) with Azure OpenAI Service
Module 7: Fundamentals of Responsible Generative AI

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.

Microsoft Certified: Azure AI Engineer Associate after successful completition of the Exam AI-102: Designing and Implementing a Microsoft Azure AI Solution

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