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.

Exam Prep AI-102: Microsoft Azure AI Engineer Associate

Exam Prep AI-102: Microsoft Azure AI Engineer Associate

Instructor: Whizlabs Instructor
Access provided by Masterflex LLC, Part of Avantor
7,804 already enrolled
26 reviews
Recommended experience
Recommended experience
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
26 reviews
Recommended experience
Recommended experience
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
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

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16 assignments
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There are 5 modules in this course
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 videos• Total 150 minutes
- About the Course• 4 minutes
- Prerequisites for Attending this Course• 4 minutes
- Introduction to Azure AI Services• 5 minutes
- Introduction to Azure Machine Learning Services• 3 minutes
- Python Installation• 4 minutes
- Azure AI Foundry - Overview• 6 minutes
- Azure AI Foundry - Demo• 6 minutes
- Microsoft Copilot: Your AI companion [Overview]• 5 minutes
- Microsoft 365 Copilot - Overview• 5 minutes
- Azure AI Services - Overview• 6 minutes
- What are Azure AI Solutions - Part 1• 5 minutes
- What are Azure AI Solutions - Part 2• 6 minutes
- Knowledge Mining Solution• 7 minutes
- Responsible AI principles• 5 minutes
- Azure Virtual Networks• 3 minutes
- Demo: Protect account keys by using Azure Key Vault - Part 1• 8 minutes
- Demo: Protect account keys by using Azure Key Vault - Part 2• 7 minutes
- Manage account keys & Authentication• 3 minutes
- Manage account keys & Authentication - Demo• 2 minutes
- Manage private communications- Part 1• 10 minutes
- Manage private communications - Part 2• 6 minutes
- Create an Azure AI resource• 2 minutes
- Create an Azure AI resource - Demo• 4 minutes
- Configure diagnostic logging• 2 minutes
- Configure diagnostic logging - Demo• 4 minutes
- Manage costs for Azure AI services• 3 minutes
- Manage costs for Azure AI services - Demo• 4 minutes
- Monitor an Azure AI resource• 4 minutes
- Monitor an Azure AI resource - Demo• 4 minutes
- CI/CD Integration• 4 minutes
- Working with Containers• 7 minutes
3 readings• Total 35 minutes
- Welcome to the Course• 10 minutes
- Course Outline• 15 minutes
- Azure AI solutions: Planning and Management - Course Overview• 10 minutes
4 assignments• Total 80 minutes
- Azure AI solutions: Planning and Management - Assessment• 30 minutes
- Azure AI Engineer Associate - Knowledge Check• 12 minutes
- Azure AI services : Appropriate Selection and Security - Knowledge Check• 20 minutes
- Azure AI services: Creating, Planning, and Deployment with Management & Monitoring - Knowledge Check• 18 minutes
1 discussion prompt• Total 10 minutes
- Meet and Greet• 10 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 videos• Total 106 minutes
- Computer Vision• 3 minutes
- Azure AI Vision - Overview• 6 minutes
- Azure AI Custom Vision - Overview• 7 minutes
- Azure AI Custom Vision - Demo• 5 minutes
- Azure AI Vision Spatial Analysis• 5 minutes
- Spatial Analysis - Overview• 6 minutes
- Spatial Analysis - Demo• 5 minutes
- Image Classification & Object Detection• 5 minutes
- Object Detection and Image Tagging in Azure AI Vision• 10 minutes
- OCR for images - Azure AI Vision• 7 minutes
- OCR - Text Extraction• 4 minutes
- Azure AI Video Indexer• 5 minutes
- Azure Video Indexer - Demo• 5 minutes
- Image Calssification & Object Detection• 3 minutes
- Image Calssification & Object Detection - Demo• 5 minutes
- Creating a Custom Model• 3 minutes
- Training a Custom Model• 3 minutes
- Creating and Training a Custom Model - Demo• 5 minutes
- Model Evaluation• 4 minutes
- Model Evaluation & Testing - Demo• 4 minutes
- Model Exporting• 3 minutes
- Model Exporting - Demo• 2 minutes
1 reading• Total 10 minutes
- Computer Vision Models Overview• 10 minutes
3 assignments• Total 70 minutes
- Computer Vision Solutions - Assessment• 35 minutes
- Azure AI Vision with OCR and AI - Knowledge Check• 20 minutes
- Image Classification & Object Detection - Knowledge Check• 15 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 videos• Total 212 minutes
- Azure AI Language - Part 1• 6 minutes
- Azure AI Language - Part 2• 5 minutes
- Azure AI Language - Demo• 7 minutes
- Analyze Text : Key Phrases• 2 minutes
- Analyze Text : Entities• 4 minutes
- Analyze Text : Sentiment• 2 minutes
- Analyze Text : Language Detection• 3 minutes
- Azure AI Speech Service: Overview• 5 minutes
- Azure AI Speech Service: Demo - Part 1• 7 minutes
- Azure AI Speech Service: Demo - Part 2• 4 minutes
- Azure AI Speech Service [speech-to-speech & speech-to-text]• 5 minutes
- Process Speech: Text-to-Speech• 4 minutes
- Process Speech: Speech-to-Text• 4 minutes
- Process Speech: Keyword & Intent Recognition• 3 minutes
- Translate to multiple languages simultaneously• 4 minutes
- What is the Personally Identifying Information (PII) detection• 5 minutes
- Azure Translator Service• 6 minutes
- Azure AI Translator - Overview [Speech and Custom]• 7 minutes
- Translate Speech-to-speech using Azure Services• 5 minutes
- Azure Speech-to-Text Translation• 3 minutes
- Custom Translation Models• 3 minutes
- Language Understanding Model : Create Intents and Add Utterances• 5 minutes
- Language Understanding Model : Create Entities• 3 minutes
- Language Understanding Model : Train, Evaluate, Deploy, and Test• 3 minutes
- Language Understanding Model : Optimize a Language Understanding model• 3 minutes
- Language Understanding Model : Integrate multiple language service model• 3 minutes
- Language Understanding Model- Import and Export language understand• 3 minutes
- Demo - Conversational Language Model: Creating Language Service Resource & Conversation Understand• 9 minutes
- Demo - Conversational Language Model : Training & Deployment with Performance Analysis• 6 minutes
- Demo - Conversational Language Model : Creating a Schema Definition and Training a Conversational Language Model• 8 minutes
- Demo - Conversational Language Model : Testing a Conversational Language Model• 7 minutes
- Creating a Question Answering Project and a Source• 5 minutes
- Train and test a knowledge base • 5 minutes
- Exporting Publishing a knowledge base• 6 minutes
- Creating Web Chat Bot• 14 minutes
- Create a multi-turn conversation• 3 minutes
- Adding chit-chat to a Knowledge Base• 10 minutes
- Demo - Conversational Language Understanding Project using Azure Language Studio• 6 minutes
- Demo - Deploying and Testing Azure LUIS Conversational Language Understanding Project• 7 minutes
- Demo - Creating a Knowledge Base : QnAMaker Tool Step-by-Step Guide• 5 minutes
- Demo - Knowledge Base Creation and Deployment with QnAMaker• 4 minutes
1 reading• Total 10 minutes
- Natural Language Processing (NLP) Solutions Overview• 10 minutes
4 assignments• Total 85 minutes
- Natural Language Processing (NLP) Solutions - Assessment• 35 minutes
- Analyze text & Process Speech - Knowledge Check• 15 minutes
- Translate Language & Language Understanding Model - Knowledge Check• 20 minutes
- Creating Q&A Solutions - Knowledge Check• 15 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 videos• Total 73 minutes
- Azure AI Search - Overview• 9 minutes
- Azure AI Document Intelligence Overview• 11 minutes
- Azure AI Search - Custom skill interface• 6 minutes
- Demo: Azure AI Search Skillset Concepts • 9 minutes
- Azure AI Document Intelligence with Pre Built Models - Demo• 7 minutes
- Azure AI Document Intelligence - Custom Model• 6 minutes
- Demo: Build an Azure AI Document Intelligence custom skill for Azure AI Search - Part 1• 5 minutes
- Demo: Build an Azure AI Document Intelligence custom skill for Azure AI Search - Part 2• 5 minutes
- Query an index, including syntax, sorting, filtering, and wildcards - Demo• 7 minutes
- Define projections in a knowledge store - Demo• 8 minutes
1 reading• Total 10 minutes
- Knowledge Mining with Document Intelligence Solutions Overview• 10 minutes
2 assignments• Total 45 minutes
- Knowledge Mining with Document Intelligence Solutions - Assessment Questions• 30 minutes
- Azure AI Search with Document Intelligence - Knowledge Check• 15 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.
What's included
20 videos2 readings3 assignments
20 videos• Total 130 minutes
- Generative AI Solutions - Overview• 9 minutes
- Azure OpenAI - Overview and Service Models Part 1• 8 minutes
- Azure OpenAI - Overview and Service Models Part 2• 8 minutes
- Azure OpenAI Service - Natural Language Solutions • 10 minutes
- Azure OpenAI - Prompt engineering techniques• 9 minutes
- Azure OpenAI Service REST API• 7 minutes
- Decision Support Solutions - Overview• 10 minutes
- Azure AI Content Safety - Overview• 7 minutes
- Azure AI Content Safety - Demo• 7 minutes
- Generate and improve code with Azure OpenAI Service - Part 1• 6 minutes
- Generate and improve code with Azure OpenAI Service - Part 2• 6 minutes
- Generate images with Azure OpenAI Service• 6 minutes
- Azure OpenAI Service powers the Microsoft Copilot ecosystem• 7 minutes
- Use large multimodal models in Azure OpenAI• 5 minutes
- Configure parameters to control generative behavior• 5 minutes
- Summary of AI-102• 5 minutes
- How to Prepare for the Exam• 3 minutes
- Key Takeaways• 1 minute
- Fine-tune an Azure OpenAI model• 7 minutes
- Submit prompts to generate code• 3 minutes
2 readings• Total 20 minutes
- Generative AI with Content Moderation Solutions Overview• 10 minutes
- Course Conclusion• 10 minutes
3 assignments• Total 95 minutes
- Generative AI with Content Moderation Solutions - Assessment• 25 minutes
- Overall Assessment• 50 minutes
- Generative AI & Azure OpenAI with Content Safety Services• 20 minutes
Instructor

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Providing certification training since the year 2000, Whizlabs is the pioneer among online training providers across the globe. We are dedicated to helping you learn the skills you need to transform your career in the IT industry. We provide certification training in the form of Video Courses, Practice Tests, Hands-on Labs and Sandbox in various disciplines such as Cloud Computing, DevOps, Cyber Security, Java, Big Data, Snowflake, CompTIA, Agile, Linux, CCNA, Blockchain, and much more.
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