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Exam Prep AI-102: Microsoft Azure AI Engineer Associate 

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Exam Prep AI-102: Microsoft Azure AI Engineer Associate
 at 
Coursera 
Overview

Duration

15 hours

Start from

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Total fee

Free

Mode of learning

Online

Official Website

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Credential

Certificate

Exam Prep AI-102: Microsoft Azure AI Engineer Associate
 at 
Coursera 
Highlights

  • Flexible deadlines Reset deadlines in accordance to your schedule.
  • Shareable Certificate Earn a Certificate upon completion
  • 100% online Start instantly and learn at your own schedule.
  • Intermediate Level Skilled in C Python language and able to leverage REST-based APIs & SDK to build Computer Vision, NLP, Knowledge Mining & Conversational AI Solutions
  • Approx. 15 hours to complete
  • English Subtitles: English
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Exam Prep AI-102: Microsoft Azure AI Engineer Associate
 at 
Coursera 
Course details

More about this course
  • The AI-102: Designing and Implementing a Microsoft Azure AI Solution certification exam tests the candidate experience and knowledge of the AI solutions that make the most of Azure Cognitive Services and Azure services. In addition, the exam also tests the candidate's ability to implement this knowledge by participating in all phases of AI solutions development—from defining requirements, and design to development, deployment, integration, maintenance, performance tuning, and monitoring.
  • Take this Designing and Implementing a Microsoft Azure AI Solution: AI-102 exam and become a part of the futuristic world of Artificial Intelligence and grow your career by attaining Azure AI-102 certification.
  • Azure AI engineers have experience developing solutions that use languages such as Python or C# and should be able to use REST-based APIs and software development kits (SDKs) to build secure image processing, video processing, natural language processing (NLP), knowledge mining, and conversational AI solutions on Azure. They should be familiar with all methods of implementing AI solutions. Plus, they understand the components that make up the Azure AI portfolio and the available data storage options. Azure AI engineers also need to understand and be able to apply responsible AI principles.
  • This course contains 5+ hours of training videos. Learners could find a total of 90+ lectures in the training course with comprehensive coverage of all topics regarding the exam AI-102: Designing and Implementing a Microsoft Azure AI Solution. These lectures are divided into 5 Modules and each module is further split into lessons. The entire course includes Assessments to validate knowledge checks of learners. Also, a set of Graded Questions is available at the end of every module.
  • Module 1: Azure AI Solutions: Planning and Management
  • Module 2: Image & Video Processing Solutions
  • Module 3: Natural Language Processing (NLP) Solutions
  • Module 4: Knowledge Mining Solutions
  • Module 5: Conversational AI Solutions
  • Enroll in Exam Prep AI-102: Microsoft Azure AI Engineer Associate Course and advance your Azure AI Solution Workload skills with Microsoft Azure.
  • This training course helps you develop your skills and knowledge in AI-102. You can start with fundamental certifications such as the AI-900 exam. Once you gain command over all phases of AI solutions development, you are ready to start preparing for the AI-102 exam.
  • This AI-102 course is mainly for those who need opportunities in various job roles such as Cloud Developers, Cloud Engineers, Solutions Architects, and Cloud Architects.
  • By the end of this course, you will be able to pass the AI-102 exam on the first attempt and master Designing and Implementing a Microsoft Azure AI Solution.
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Exam Prep AI-102: Microsoft Azure AI Engineer Associate
 at 
Coursera 
Curriculum

Azure AI solutions: Planning and Management

About the Course

Prerequisites for Attending this Course

What are Azure AI Solutions?

Python Installation

What are Cognitive Services?

Cognitive Services for a Vision Solution

Cognitive Services for a Language Analysis Solution

Cognitive Services for a Decision Support Solution

Cognitive Services for a Speech Solution

Manage account keys & Authentication

Manage account keys & Authentication - Demo

Azure Virtual Networks

Azure Virtual Networks - Demo

Responsible AI principles

Create an Azure AI resource

Create an Azure AI resource - Demo

Configure diagnostic logging

Configure diagnostic logging - Demo

Manage costs for Azure AI services

Manage costs for Azure AI services - Demo

Monitor an Azure AI resource

Monitor an Azure AI resource - Demo

CI/CD Integration

Working with Containers

Anomaly Detector

Anomaly Detector - Demo

Azure Content Moderator

Azure Content Moderator - Demo

Personalizer

Azure Metrics Advisor

Azure Immersive Reader

Azure Immersive Reader - Demo

Welcome to the Course

Course Outline

Azure AI solutions: Planning and Management - Course Overview

Azure AI Engineer Associate - Knowledge Check

Azure AI services : Appropriate Selection and Security - Knowledge Check

Azure AI services : Appropriate Selection and Security - Knowledge Check

Detecting Anomalies & Improving Content - Knowledge Check

Azure AI solutions: Planning and Management - Assessment

Image & Video Processing Solutions

Computer Vision

OCR - Text Extraction

Azure Form Recognizer

Azure Form Recognizer -Demo

Azure Video Indexer

Azure Video Indexer - Demo

Image Calssification & Object Detection

Image Calssification & Object Detection - Demo

Creating a Custom Model

Training a Custom Model

Creating and Training a Custom Model - Demo

Model Evaluation

Model Evaluation & Testing - Demo

Model Exporting

Model Exporting - Demo

Image & Video Processing Solutions Overview

Analyze Text Extractor and Azure Video Indexer - Knowledge Check

Image Classification & Object Detection - Knowledge Check

Image & Video Processing Solutions - Assessment

Natural Language Processing (NLP) Solutions

Analyze Text : Key Phrases

Analyze Text : Entities

Analyze Text : Sentiment

Analyze Text : Language Detection

Demo: Cognitive Services and Text Analytics with Visual Studio Code

Demo: Azure Text Analytics with Visual Studio Code

Process Speech: Text-to-Speech

Process Speech: Speech-to-Text

Process Speech: Keyword & Intent Recognition

Demo: Text Translation Setup with Cognitive Services & Translator

Demo: Translate Text with Translator Service - Configure and Run

Azure Translator Service

Translate Speech-to-speech using Azure Services

Azure Speech-to-Text Translation

Custom Translation Models

Demo - Translate Speech-to-Speech: Creating and Deploying Cognitive Resource

Demo - Translate Speech to Speech: Configuring Speech Recognition and Synthesis

Demo - Translating Text-to-Speech: Configuring Repository Cloning, Visual Studio, and Cognitive Service

Demo - Translating Text-to-Speech: Configuring Resource Group Connection, Visual Studio Setup, and Code Execution

Language Understanding Model : Create Intents and Add Utterances

Language Understanding Model : Create Entities

Language Understanding Model : Train, Evaluate, Deploy, and Test

Language Understanding Model : Optimize a Language Understanding model

Language Understanding Model : Integrate multiple language service model

Language Understanding Model- Import and Export language understand

Demo - Conversational Language Model: Creating Language Service Resource & Conversation Understand

Demo - Conversational Language Model : Training & Deployment with Performance Analysis

Demo - Conversational Language Model : Creating a Schema Definition and Training a Conversational Language Model

Demo - Conversational Language Model : Testing a Conversational Language Model

Creating a Question Answering Project and a Source

Creating Conversational Q&A Solution - Train and test a knowledge base

Exporting Publishing a knowledge base

Creating Web Chat Bot

Create a multi-turn conversation

Adding chit-chat to a Knowledge Base

Demo - Conversational Language Understanding Project using Azure Language Studio

Demo - Deploying and Testing Azure LUIS Conversational Language Understanding Project

Demo - Creating a Knowledge Base : QnAMaker Tool Step-by-Step Guide

Demo - Knowledge Base Creation and Deployment with QnAMaker

Natural Language Processing (NLP) Solutions Overview

Analyze text & Process Speech - Knowledge Check

Translate Language & Language Understanding Model - Knowledge Check

Creating Conversational Q&A Solutions - Knowledge Check

Natural Language Processing (NLP) Solutions - Assessment

Knowledge Mining Solutions

Cognitive Search: Overview and Components

Exploring Search Components and Security Measures in Azure Cognitive Search

Exploring Multi-Turn Conversations and Context Management in Conversational Q&A Systems

Exploring Inbound and Outbound Traffic Security Measures in Azure Cognitive Search

AI Enrichment Skills Overview

Demo - Azure Cognitive Search Service: Configuring Alerts and Metrics

Demo - Diagnostic Settings and Scaling for Azure Cognitive Search Services

Demo - Using Application Insights for Azure Cognitive Search Monitoring

Demo - Creating a Cognitive Search Service

Demo - Cognitive Search - Indexing and Adding Cognitive Skills

Knowledge Mining Solutions Overview

Cognitive Search & AI Enrichment Skills - Knowledge Check

Knowledge Mining Solutions - Assessment

Conversational AI Solutions

Conversational Bot : Creating Bot - Frameworks and Conversational Flow

Connecting and Deploying a Conversational Bot

Conversational Bot : Deployment and Monitoring Best Practices

Conversational Bot : Activity Handlers, Dialogs or Topics, and Triggers

Conversational Bot : Adaptive Cards

Conversational Bot : Integration with Cognitive Services

Testing the Conversational Bot

Publishing the Conversational Bot

Demo - Bot Framework Setup : Console, SDK, and Emulator

Demo - Bot Framework Setup : Console, Configuration, and Azure Storage

How to Prepare for the Exam

Summary of AI-102

Key Takeaways

Conversational AI Solutions Overview

Course Conclusion

Build, Test and Publish Conversational Bot - Knowledge Check

Conversational AI Solutions - Assessment

Overall Assessment

Exam Prep AI-102: Microsoft Azure AI Engineer Associate
 at 
Coursera 
Admission Process

    Important Dates

    May 25, 2024
    Course Commencement Date

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