Designing and Implementing a Microsoft Azure AI Solution

This comprehensive course enables software engineers to design and implement AI solutions using Microsoft Azure. Participants will gain expertise in leveraging Azure Cognitive Services, Azure AI Search, Azure OpenAI, and the Microsoft Bot Framework to build, deploy, and operationalize AI-powered applications. The course focuses on developing intelligent solutions for vision, speech, language, and knowledge mining using C# or Python.

This course is ideal for:

Software Developers working on AI-infused applications
Engineers leveraging Azure for cognitive and conversational solutions
IT Professionals interested in building intelligent cloud-based systems

Azure AI Fundamentals: Understand the capabilities of Azure Cognitive Services, Bot Framework, and Cognitive Search.
Application Development: Develop intelligent applications using REST APIs and SDKs.
AI Solutions: Build AI solutions for vision, speech, language understanding, and knowledge mining.
Deployment Strategies: Operationalize AI applications securely and efficiently.

By the end of this course, participants will:

Develop and deploy intelligent applications using Azure services.
Implement advanced AI features for computer vision, natural language processing, and conversational bots.
Monitor and secure AI solutions to meet organizational needs.

Module 1: Introduction to Azure AI Solutions

Overview of Azure AI services and capabilities
Considerations for AI-enabled application development
Responsible AI principles

Module 2: Cognitive Services Essentials

Provisioning Cognitive Services in Azure
Consuming Cognitive Services using REST APIs and SDKs
Authentication and network security for Cognitive Services

Module 3: Natural Language Processing Applications

Detecting language, sentiment, and key phrases
Building and deploying language understanding models
Implementing QnA solutions for customer support

Module 4: Speech-Enabled Applications

Speech-to-text and text-to-speech APIs
Speech translation and synthesis for multilingual applications
Configuring custom voices using Speech Synthesis Markup Language (SSML)

Module 5: Vision and Image Analysis

Object detection and image classification using Custom Vision
Facial recognition and analysis with Azure Face service
Reading printed and handwritten text using Computer Vision

Module 6: Conversational AI and Bots

Building bots with the Bot Framework SDK and Composer
Designing conversational flows for natural interactions
Integrating bots with Azure Cognitive Services

Module 7: Advanced AI Solutions

Creating intelligent search solutions with Cognitive Search
Developing custom skills for knowledge mining
Deploying AI solutions in containers for scalability

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Participants can pursue the Azure AI Engineer Associate Certification by passing Exam AI-102. The certification validates expertise in building and deploying AI solutions using Microsoft Azure.

Exam Code: AI-102
Prerequisites: Familiarity with Azure, C# or Python, REST APIs, and JSON.

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