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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

Instructor: Whizlabs Instructor

8,167 already enrolled

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5 modules

Gain insight into a topic and learn the fundamentals.

26 reviews

Intermediate level

Recommended experience

2 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

5 modules

Gain insight into a topic and learn the fundamentals.

26 reviews

Intermediate level

Recommended experience

2 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

What you'll learn

Explore and make use of AI conversational assistants.
Design and implement Computer Vision Solutions.
Develop Natural Language Processing Applications.
Design and Implement Knowledge Mining Solutions.

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

16 assignments

Taught in English

91% of learners achieved a positive career outcome

See how employees at top companies are mastering in-demand skills

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There are 5 modules in this course

The AI-102: Designing and Implementing a Microsoft Azure AI Solution certification exam tests the candidate’s 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.

Module details

Welcome to Week 1 of the Course. This week, we’ll explore the Concepts of Course Overview, Prerequisites, and Azure AI Solutions Introduction. We will also explore the concepts of Azure AI services with security-based selection. By the end of the course, we'll learn how to configure and manage the logging and cost of Azure AI Services and explore the concepts of Monitoring Azure AI Services.

What's included

31 videos3 readings4 assignments1 discussion prompt

31 videosTotal 150 minutes

About the Course4 minutes
Prerequisites for Attending this Course4 minutes
Introduction to Azure AI Services5 minutes
Introduction to Azure Machine Learning Services3 minutes
Python Installation4 minutes
Azure AI Foundry - Overview6 minutes
Azure AI Foundry - Demo6 minutes
Microsoft Copilot: Your AI companion [Overview]5 minutes
Microsoft 365 Copilot - Overview5 minutes
Azure AI Services - Overview6 minutes
What are Azure AI Solutions - Part 15 minutes
What are Azure AI Solutions - Part 26 minutes
Knowledge Mining Solution7 minutes
Responsible AI principles5 minutes
Azure Virtual Networks3 minutes
Demo: Protect account keys by using Azure Key Vault - Part 18 minutes
Demo: Protect account keys by using Azure Key Vault - Part 27 minutes
Manage account keys & Authentication3 minutes
Manage account keys & Authentication - Demo2 minutes
Manage private communications- Part 110 minutes
Manage private communications - Part 26 minutes
Create an Azure AI resource2 minutes
Create an Azure AI resource - Demo4 minutes
Configure diagnostic logging2 minutes
Configure diagnostic logging - Demo4 minutes
Manage costs for Azure AI services3 minutes
Manage costs for Azure AI services - Demo4 minutes
Monitor an Azure AI resource4 minutes
Monitor an Azure AI resource - Demo4 minutes
CI/CD Integration4 minutes
Working with Containers7 minutes

3 readingsTotal 35 minutes

Welcome to the Course10 minutes
Course Outline15 minutes
Azure AI solutions: Planning and Management - Course Overview10 minutes

4 assignmentsTotal 80 minutes

Azure AI Engineer Associate - Knowledge Check12 minutes
Azure AI services : Appropriate Selection and Security - Knowledge Check20 minutes
Azure AI services: Creating, Planning, and Deployment with Management & Monitoring - Knowledge Check18 minutes
Azure AI solutions: Planning and Management - Assessment30 minutes

1 discussion promptTotal 10 minutes

Meet and Greet10 minutes

Welcome to Week 2 of the Course. This week, we’ll explore the concepts of Image processing requirements, responses, and features. We learn the concepts of extracting text with Computer Vision Models. By the end of this course, we will be able to configure Image classification and object detection and concepts of Azure AI Vision with OCR and AI.

What's included

22 videos1 reading3 assignments

22 videosTotal 106 minutes

Computer Vision3 minutes
Azure AI Vision - Overview6 minutes
Azure AI Custom Vision - Overview7 minutes
Azure AI Custom Vision - Demo5 minutes
Azure AI Vision Spatial Analysis5 minutes
Spatial Analysis - Overview6 minutes
Spatial Analysis - Demo5 minutes
Image Classification & Object Detection5 minutes
Object Detection and Image Tagging in Azure AI Vision10 minutes
OCR for images - Azure AI Vision7 minutes
OCR - Text Extraction4 minutes
Azure AI Video Indexer5 minutes
Azure Video Indexer - Demo5 minutes
Image Calssification & Object Detection3 minutes
Image Calssification & Object Detection - Demo5 minutes
Creating a Custom Model3 minutes
Training a Custom Model3 minutes
Creating and Training a Custom Model - Demo5 minutes
Model Evaluation4 minutes
Model Evaluation & Testing - Demo4 minutes
Model Exporting3 minutes
Model Exporting - Demo2 minutes

1 readingTotal 10 minutes

Computer Vision Models Overview10 minutes

3 assignmentsTotal 70 minutes

Azure AI Vision with OCR and AI - Knowledge Check20 minutes
Image Classification & Object Detection - Knowledge Check15 minutes
Computer Vision Solutions - Assessment35 minutes

Welcome to Week 3 of the Course. This week, we’ll explore the concepts of Analyzing text using Azure AI Language and configuring the Process speech using Azure AI Speech. We will learn the concepts of the Translate language with Translator Services. By the end of this course, we will be able to Explore how to Implement and manage a language understanding model by using Azure AI Language and Analyze the concepts of question answering solutions by using Azure AI Language.

What's included

41 videos1 reading4 assignments

41 videosTotal 212 minutes

Azure AI Language - Part 16 minutes
Azure AI Language - Part 25 minutes
Azure AI Language - Demo7 minutes
Analyze Text : Key Phrases2 minutes
Analyze Text : Entities4 minutes
Analyze Text : Sentiment2 minutes
Analyze Text : Language Detection3 minutes
Azure AI Speech Service: Overview5 minutes
Azure AI Speech Service: Demo - Part 17 minutes
Azure AI Speech Service: Demo - Part 24 minutes
Azure AI Speech Service [speech-to-speech & speech-to-text]5 minutes
Process Speech: Text-to-Speech4 minutes
Process Speech: Speech-to-Text4 minutes
Process Speech: Keyword & Intent Recognition3 minutes
Translate to multiple languages simultaneously4 minutes
What is the Personally Identifying Information (PII) detection5 minutes
Azure Translator Service6 minutes
Azure AI Translator - Overview [Speech and Custom]7 minutes
Translate Speech-to-speech using Azure Services5 minutes
Azure Speech-to-Text Translation3 minutes
Custom Translation Models3 minutes
Language Understanding Model : Create Intents and Add Utterances5 minutes
Language Understanding Model : Create Entities3 minutes
Language Understanding Model : Train, Evaluate, Deploy, and Test3 minutes
Language Understanding Model : Optimize a Language Understanding model3 minutes
Language Understanding Model : Integrate multiple language service model3 minutes
Language Understanding Model- Import and Export language understand3 minutes
Demo - Conversational Language Model: Creating Language Service Resource & Conversation Understand9 minutes
Demo - Conversational Language Model : Training & Deployment with Performance Analysis6 minutes
Demo - Conversational Language Model : Creating a Schema Definition and Training a Conversational Language Model8 minutes
Demo - Conversational Language Model : Testing a Conversational Language Model7 minutes
Creating a Question Answering Project and a Source5 minutes
Train and test a knowledge base 5 minutes
Exporting Publishing a knowledge base6 minutes
Creating Web Chat Bot14 minutes
Create a multi-turn conversation3 minutes
Adding chit-chat to a Knowledge Base10 minutes
Demo - Conversational Language Understanding Project using Azure Language Studio6 minutes
Demo - Deploying and Testing Azure LUIS Conversational Language Understanding Project7 minutes
Demo - Creating a Knowledge Base : QnAMaker Tool Step-by-Step Guide5 minutes
Demo - Knowledge Base Creation and Deployment with QnAMaker4 minutes

1 readingTotal 10 minutes

Natural Language Processing (NLP) Solutions Overview10 minutes

4 assignmentsTotal 85 minutes

Analyze text & Process Speech - Knowledge Check15 minutes
Translate Language & Language Understanding Model - Knowledge Check20 minutes
Creating Q&A Solutions - Knowledge Check15 minutes
Natural Language Processing (NLP) Solutions - Assessment35 minutes

Welcome to Week 4 of the Course. This week, we’ll explore the concepts of Implementing Azure AI Search Solutions. Then we learn how to Explore the concepts of Document Intelligence. By the end of this course, we will learn to demonstrate the concepts of Azure AI Document Intelligence with pre-built Models and Explore the concepts of how to implement Build an Azure AI Document Intelligence custom skill for Azure AI Search.

What's included

10 videos1 reading2 assignments

10 videosTotal 73 minutes

Azure AI Search - Overview9 minutes
Azure AI Document Intelligence Overview11 minutes
Azure AI Search - Custom skill interface6 minutes
Demo: Azure AI Search Skillset Concepts 9 minutes
Azure AI Document Intelligence with Pre Built Models - Demo7 minutes
Azure AI Document Intelligence - Custom Model6 minutes
Demo: Build an Azure AI Document Intelligence custom skill for Azure AI Search - Part 15 minutes
Demo: Build an Azure AI Document Intelligence custom skill for Azure AI Search - Part 25 minutes
Query an index, including syntax, sorting, filtering, and wildcards - Demo7 minutes
Define projections in a knowledge store - Demo8 minutes

1 readingTotal 10 minutes

Knowledge Mining with Document Intelligence Solutions Overview10 minutes

2 assignmentsTotal 45 minutes

Azure AI Search with Document Intelligence - Knowledge Check15 minutes
Knowledge Mining with Document Intelligence Solutions - Assessment Questions30 minutes

Welcome to the Week 5 (Final Week) of the Course. This week, we’ll explore the concepts of Generative AI, Azure Open AI, and Content Safety Services. Then we will learn how to analyze the concepts of Azure OpenAI Service to generate content. By the end of this course, we will be able to learn how to Analyze the concepts of how to Implement and Optimize Generative AI, and how to create and implement solutions for content delivery.