Azure

AI-900T00 : Microsoft Azure AI Fundamentals

Course Duration

1 Day

Delivery

ILT VILT

Overview

AI-900T00 course introduces fundamental concepts related to artificial intelligence (AI), and the services in Microsoft Azure that can be used to create AI solutions. The course is not designed to teach students to become professional data scientists or software developers, but rather to build awareness of common AI workloads and the ability to identify Azure services to support them. The course is designed as a blended learning experience that combines instructor-led training with online materials on the Microsoft Learn platform.

What You'll Learn

Describe core concepts of machine learning
Identify different types of machine learning
Describe considerations for training and evaluating machine learning models
Describe core concepts of deep learning
Use automated machine learning in Azure Machine Learning service
Understand applications Azure AI services can be used to build
Understand how to access Azure AI services in the Azure portal
Understand how to use Azure AI services keys and endpoint for authentication
Create and use an Azure AI services resource in a Content Safety Studio setting
Learn how to use the Azure AI Vision service to analyze images.
Learn how to use Azure AI Face service to detect and analyze faces in images.
Learn how to read text in images with Azure AI Vision.
Learn how to use Azure AI Language for text analysis
After completing this module, you'll be able to understand how to use Azure AI Language and Azure AI Bot Service to create a bot.
Learn what conversational language understanding is.
Learn about key features, such as intents and utterances.
Build and publish a natural-language machine-learning model.
Learn about speech recognition and synthesis
Learn how to use Azure AI Speech
Learn how to use the prebuilt receipt processing capabilities of Azure AI Document Intelligence.
Explore Azure AI Search
Create an Azure AI Search index
Import data to the index
Query the Azure AI Search index
Understand generative AI's place in the development of artificial intelligence
Understand large language models and their role in intelligent applications
Describe how Azure OpenAI supports intelligent application creation
Describe examples of copilots and good prompts
Describe Azure OpenAI workloads and access the Azure OpenAI Service
Understand generative AI models
Understand Azure OpenAI's language, code, and image capabilities
Understand Azure OpenAI's responsible AI practices and limited access policies
Describe an overall process for responsible generative AI solution development
Identify and prioritize potential harms relevant to a generative AI solution
Measure the presence of harms in a generative AI solution
Mitigate harms in a generative AI solution
Prepare to deploy and operate a generative AI solution responsibly

Who Should Attend

The Azure AI Fundamentals (AI-900T00) course is designed for anyone interested in learning about the types of solutions artificial intelligence (AI) makes possible, and the services on Microsoft Azure that you can use to create them. You don’t need to have any experience of using Microsoft Azure before taking this course, but a basic level of familiarity with computer technology and the Internet is assumed. Some of the concepts covered in the course require a basic understanding of mathematics, such as the ability to interpret charts. The course includes hands-on activities that involve working with data and running code, so a knowledge of fundamental programming principles will be helpful.

Prerequisites

Please review the prerequisites listed for each module in the course content and click on the provided links for more information.

Learning Journey

Coming Soon...

1. Fundamental AI Concepts

With AI, we can build solutions that seemed like science fiction a short time ago; enabling incredible advances in health care, financial management, environmental protection, and other areas to make a better world for everyone.

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2. Fundamentals of machine learning

Machine learning is the basis for most modern artificial intelligence solutions. A familiarity with the core concepts on which machine learning is based is an important foundation for understanding AI.

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3. Fundamentals of Azure AI services

In this module, you learn the fundamentals of how Azure AI services can be used to build applications.

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4. Fundamentals of Computer Vision

Azure AI Vision service enables software engineers to create intelligent solutions that extract information from images; a common task in many artificial intelligence (AI) scenarios.

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5. Fundamentals of Facial Recognition

Face detection, analysis, and recognition are important capabilities for artificial intelligence (AI) solutions. Azure AI Face service in Azure makes it easy integrate these capabilities into your applications.

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6. Fundamentals of optical character recognition

Optical character recognition (OCR) enables artificial intelligence (AI) systems to read text in images, enabling applications to extract information from photographs, scanned documents, and other sources of digitized text.

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7. Fundamentals of Text Analysis with the Language Service

Explore Azure AI Language's natural language processing (NLP) features, which include sentiment analysis, key phrase extraction, named entity recognition, and language detection.

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8. Fundamentals of question answering with the Language Service

Create a custom question answering knowledge base with Azure AI Language and create a bot with Azure AI Bot Service that answers user questions.

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9. Fundamentals of conversational language understanding

In this module, we introduce you to conversational language understanding, and show how to create applications that understand language with Azure AI Language.

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10. Fundamentals of Azure AI Speech

Learn how to recognize and synthesize speech by using Azure AI Speech.

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11. Fundamentals of language translation

Automated translation capabilities in an AI solution enable closer collaboration by removing language barriers.

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12. Fundamentals of Azure AI Document Intelligence

Document processing is a common task in many business scenarios. Organizations can use Azure AI Document Intelligence to automate data extraction across document types, such as receipts, invoices, and more.

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13. Fundamentals of Knowledge Mining and Azure AI Search

Use Azure AI Search to make your data searchable.

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14. Fundamentals of Generative AI

In this module, you explore the way in which language models enable AI applications and services to generate original content based on natural language input. You also learn how generative AI enables the creation of copilots that can assist humans in creative tasks.

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15. Introduction to Azure AI Studio

Microsoft Azure offers multiple services that enable developers to build amazing AI-powered solutions. Azure AI Studio brings these services together in a single unified experience for AI development on the Azure cloud platform.

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16. Responsible generative AI

Generative AI enables amazing creative solutions, but must be implemented responsibly to minimize the risk of harmful content generation.

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Skills Measured

Describe Artificial Intelligence workloads and considerations (15-20%)
Describe fundamental principles of machine learning on Azure (20-25%)
Describe features of computer vision workloads on Azure (15-20%)
Describe features of Natural Language Processing (NLP) workloads on Azure (15-20%)
Describe features of generative AI workloads on Azure (15-20%)

Frequently Asked Questions (FAQs)

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Microsoft-certified professionals are in high demand, opening doors to new career opportunities and higher earning potential.
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Microsoft certification exams are designed to assess your knowledge and skills in specific Microsoft technologies and solutions.
Exams typically consist of multiple-choice, multiple-select, and case study questions, and some may include lab simulations to evaluate your practical skills.
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How long is Microsoft certification valid for?

Most Microsoft role-based and specialty certifications are valid for one year from the date of passing the exam.
To maintain your certification, you will need to renew it annually by passing a free online assessment on Microsoft Learn.
However, Microsoft Applied Skills credentials and Fundamentals certifications do not expire.
Note: Certification requirements and policies may be updated by Microsoft from time to time. We apologize for any discrepancies; do get in touch with us if you have any questions.
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