Name: Microsoft Certified: Azure AI Engineer Associate (AI-102) Training | AI Engineering
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Microsoft Certified: Azure AI Engineer Associate (AI-102) Training Syllabus

Curriculum Designed by Experts

Prepare to Develop AI Solutions on Azure

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Understand capabilities of Azure Machine Learning
Understand capabilities of Azure AI Services
Understand capabilities of Azure OpenAI Service
Understand capabilities of Azure AI Search

Create and Consume Azure AI Services

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Create Azure AI services resources in an Azure subscription
Identify endpoints, keys, and locations
Use a REST API and an SDK to consume Azure AI services

Secure Azure AI Services

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Consider authentication for Azure AI services
Manage network security for Azure AI services

Monitor Azure AI Services

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Monitor Azure AI services costs
Create alerts and view metrics for Azure AI services
Manage Azure AI services diagnostic logging

Deploy Azure AI Services in Containers

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Create containers for reuse
Deploy to a container and secure a container
Consume Azure AI services from a container

Analyze Images

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Provision an Azure AI Vision resource
Analyze an image
Generate a smart-cropped thumbnail

Classify Images

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Provision Azure resources for Azure AI Custom Vision
Understand image classification
Train an image classifier

Detect, Analyze, and Recognize Faces

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Identify options for face detection, analysis, and identification
Understand considerations for face analysis
Detect faces with the Computer Vision service
Understand capabilities of the Face service
Compare and match detected faces
Implement facial recognition

Read Text in Images and Documents with the Azure AI Vision Service

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Read text from images using OCR
Use the Azure AI Vision service Image Analysis with SDKs
Develop an application that can read printed and handwritten text

Analyze Video

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Describe Azure Video Indexer capabilities
Extract custom insights
Use Azure Video Indexer widgets and APIs

Analyze Text with Azure AI Language

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Detect language from text
Analyze text sentiment
Extract key phrases, entities, and linked entities

Create Question Answering Solutions with Azure AI Language

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Understand question answering and how it compares to language understanding
Create, test, publish, and consume a knowledge base
Implement multi-turn conversation and active learning
Create a question answering bot to interact with using natural language

Build a Conversational Language Understanding Model

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Provision Azure resources for Azure AI Language resource
Define intents, utterances, and entities
Use patterns to differentiate similar utterances
Use pre-built entity components
Train, test, publish, and review an Azure AI Language model

Create a Custom Text Classification Solution

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Understand types of classification projects
Build a custom text classification project
Tag data, train, and deploy a model
Submit classification tasks from your own app

Custom Named Entity Recognition

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Understand tagging entities in extraction projects
Understand how to build entity recognition projects

Translate Text with Azure AI Translator Service

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Provision a Translator resource
Understand language detection, translation, and transliteration
Specify translation options
Define custom translations

Create Speech-Enabled Apps with Azure AI Services

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Provision an Azure resource for the Azure AI Speech service
Use the Azure AI Speech to text API to implement speech recognition
Use the Text to speech API to implement speech synthesis
Configure audio format and voices
Use Speech Synthesis Markup Language (SSML)

Translate Speech with the Azure AI Speech Service

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Provision Azure resources for speech translation
Generate text translation from speech
Synthesize spoken translations

Create an Azure AI Search Solution

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Create an Azure AI Search solution
Develop a search application

Create a Custom Skill for Azure AI Search

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Implement a custom skill for Azure AI Search
Integrate a custom skill into an Azure AI Search skillset

Create a Knowledge Store with Azure AI Search

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Create a knowledge store from an Azure AI Search pipeline
View data in projections in a knowledge store

Plan an Azure AI Document Intelligence Solution

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Describe Azure AI Document Intelligence solution components
Create and connect to Azure AI Document Intelligence resources

Extract Data from Documents Using Azure AI Document Intelligence

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Extract data from forms using Azure AI Document Intelligence.
Customize data extraction models.
Use form recognizers and manage document processing.

Integrate Azure AI with Bot Services

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Use Azure Bot Services for conversational AI.
Create bots that integrate with Azure AI services.
Implement bot logic and language models.

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Microsoft Certified: Azure AI Engineer Associate (AI-102) Training Details

What is Microsoft Certified: Azure AI Engineer Associate (AI-102) Training?

This course provides comprehensive training on Azure AI services, covering the configuration and management of AI solutions to support various business requirements. Participants will learn to customize and deploy AI models, ensuring efficient integration of AI capabilities into applications.

Why enroll for Microsoft Certified: Azure AI Engineer Associate (AI-102) Training?

Gain practical experience in deploying AI solutions using Azure.
Learn to implement end-to-end AI applications within a business environment.
Prepare for the AI-102 certification exam to validate your AI engineering skills.

What are the benefits of joining Microsoft Certified: Azure AI Engineer Associate (AI-102) Training?

Access to Microsoft’s comprehensive AI and machine learning resources.
Hands-on labs for real-world Azure AI solutions.
Certified instructors provide industry insights and practical examples.

What skills will you learning during Microsoft Certified: Azure AI Engineer Associate (AI-102) Training?

AI model creation, training, and deployment
Language processing, speech recognition, and image analysis
Azure AI service integrations and security configurations
Containerization and monitoring of AI services

What tools are covered during Microsoft Certified: Azure AI Engineer Associate (AI-102) Training?

Azure Machine Learning
Azure AI Vision, Language, and Speech services
Azure Bot Service
Azure AI Document Intelligence and Custom Vision

What are the objectives of Microsoft Certified: Azure AI Engineer Associate (AI-102) Training?

Configure, deploy, and manage Azure AI services.
Design end-to-end AI solutions on the Azure platform.
Secure, monitor, and integrate AI solutions.

Who should go for this Microsoft Certified: Azure AI Engineer Associate (AI-102) Training?

AI engineers and software developers with a focus on AI.
IT professionals responsible for AI integration within cloud platforms.
Business analysts and consultants working with data and AI.

What are the Prerequisite of Microsoft Certified: Azure AI Engineer Associate (AI-102) Training?

Basic understanding of AI and cloud computing.
Experience with Python or similar languages for data science is beneficial.

What will you learning during Microsoft Certified: Azure AI Engineer Associate (AI-102) Training?

Designing AI solutions and implementing ML workflows.
Integrating and deploying AI models within Azure services.
Customizing and securing AI services.

What are the system requirements for Microsoft Certified: Azure AI Engineer Associate (AI-102) Training?

Access to a device with an internet connection for online training.
Azure subscription for practical labs and exercises.

What are the career opportunities after Microsoft Certified: Azure AI Engineer Associate (AI-102) Training?

Roles in AI engineering, cloud solutions architecture, and data science.
Opportunities as an Azure AI Engineer or AI Solution Consultant.

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Microsoft Certified: Azure AI Engineer Associate (AI-102)

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Microsoft Certified: Azure AI Engineer Associate (AI-102) Training Syllabus

Curriculum Designed by Experts

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Microsoft Certified: Azure AI Engineer Associate (AI-102) Training Details

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