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Course: AI-102: Designing and Implementing a Microsoft Azure AI Solution
AI-102 Designing and Implementing an Azure AI Solution is intended for software developers who want to build AI-powered applications that use Azure Cognitive Services , Azure Cognitive Search , and the Microsoft Bot Framework. The programming language used in the course will be C# or Python.
The course includes the certification exam as a gift opportunity! *Promotion valid until February 28th only for clients from Spain
Course aimed at
Software engineers involved in building, managing, and deploying AI solutions using Azure Cognitive Services, Azure Cognitive Search, and the Microsoft Bot Framework. They are familiar with C# or Python, and have knowledge of using REST-based APIs to build computer vision, language analysis, knowledge mining, intelligent search, and conversational AI solutions on Azure.
Goals
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Describe considerations for developing AI-enabled applications
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Build, configure, deploy, and secure Azure Cognitive Services
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Develop applications that analyze text
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Develop voice-enabled applications
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Build apps with natural language understanding capabilities
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Creating QnA applications
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Create conversational solutions with bots
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Use computer vision services to analyze images and videos
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Create custom computer vision models
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Develop applications that detect, analyze and recognize faces
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Develop applications that read and process text in images and documents
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Create intelligent search solutions for knowledge mining
Elements of the AI-102 formation
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Introduction to Azure AI Services (6 units)
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Building Computer Vision Solutions with Azure AI Vision (6 units)
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Developing Natural Language Processing Solutions with Azure AI Services (8 units)
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Implementing Knowledge Mining with Azure AI Search (8 units)
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Developing Solutions with Azure AI Intelligence Document (4 units)
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Developing generative artificial intelligence solutions with Azure OpenAI Service (3 units)
AI-102 Course Content
Module 1: Introduction to AI and AI in Azure
- Introduction to artificial intelligenceAI in Azure
- Introduction to Azure AI Services
- Using Azure AI Services for Enterprise Applications
Module 2: Develop Computer Vision Solutions with Azure AI Vision
- Analyze and manipulate images
- Create a Custom Vision model.
- Detect, analyze and recognize faces
- Analyze videos
Laboratories:
- Lab: Analyze images with Azure AI Vision
- Lab: Reading text in images
- Lab: Classify images with an Azure AI Custom Vision model
Module 3: Developing Natural Language Processing Solutions
- Analyze and translate text
- Creating a Question Answering Solution
- Building a conversational language recognition app
- Extract a custom classification and named entities
- Recognize, synthesize and translate voice
Module 4: Developing generative artificial intelligence solutions with Azure OpenAI Service
- Getting started with Azure OpenAI Service
- Developing applications with Azure OpenAI ServiceMessaging application engineering with Azure OpenAI Service
- Use your own data with Azure OpenAI Service
Module 5. Building a Knowledge Mining Solution
- Implementing an intelligent search solution
- Developing custom skills for an enrichment pipeline
- Creating a knowledge repository
Module 6: Developing Solutions with Azure AI Intelligence Document
- Using pre-built Intelligence Document templates
- Train a custom Document Intelligence model
Prerequisites
Before attending this course, students must have:
- Knowledge of Microsoft Azure and ability to navigate the Azure Portal
- Knowledge of C# or Python
- Knowledge of JSON and REST programming semantics
To gain C# or Python skills, complete the free Getting Started with C# or Python for Beginners learning paths before taking the course. If you are new to AI and want to get an overview of AI capabilities in Azure, consider completing the Azure AI Fundamentals certification before taking this one.
Language
- Course: English / Spanish
- Labs: English/Spanish
Microsoft Certification Associate: Azure AI Engineer Associate
Microsoft Certified: Azure AI Engineer Associate
Design and deploy an Azure AI solution using Azure AI services, Azure AI Search, and Azure Open AI.
Level: Intermediate
Role: AI Engineer
Product: Azure
Subject: Data and AI