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Exam Number : AI-900
Exam Name : Microsoft Azure AI Fundamentals
Vendor Name : Microsoft
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EXAM NAME : Microsoft Azure AI Fundamentals
Prove that you can describe the following: AI workloads and considerations; fundamental principles of machine learning on Azure; features of computer vision workloads on Azure; features of Natural Language Processing (NLP) workloads on Azure; and features of conversational AI workloads on Azure.

Candidates for the Azure AI Fundamentals certification should have foundational knowledge of machine learning (ML) and artificial intelligence (AI) concepts and related Microsoft Azure services.

This certification is an opportunity to demonstrate knowledge of common ML and AI workloads and how to implement them on Azure.

This certification is intended for candidates with both technical and non-technical backgrounds. Data science and software engineering experience are not required;
however, some general programming knowledge or experience would be beneficial.

Azure AI Fundamentals can be used to prepare for other Azure role-based certifications like Azure Data Scientist Associate or Azure AI Engineer Associate, but its not a prerequisite for any of them.

Describe AI workloads and considerations

Describe fundamental principles of machine learning on Azure

Describe features of computer vision workloads on Azure

Describe features of Natural Language Processing (NLP) workloads on Azure

Describe features of conversational AI workloads on Azure

Module 1: Introduction to AI

In this module, you'll learn about common uses of artificial intelligence (AI), and the different types of workload associated with AI. You'll then explore considerations and principles for responsible AI development.

Artificial Intelligence in Azure

Responsible AI

After completing this module you will be able to:

Describe Artificial Intelligence workloads and considerations

Module 2: Machine Learning

Machine learning is the foundation for modern AI solutions. In this module, you'll learn about some fundamental machine learning concepts, and how to use the Azure Machine Learning service to create and publish machine learning models.

Introduction to Machine Learning

Azure Machine Learning

After completing this module you will be able to:

Describe fundamental principles of machine learning on Azure

Module 3: Computer Vision

Computer vision is a the area of AI that deals with understanding the world visually, through images, video files, and cameras. In this module you'll explore multiple computer vision techniques and services.

Computer Vision Concepts

Computer Vision in Azure

After completing this module you will be able to:

Describe features of computer vision workloads on Azure

Module 4: Natural Language Processing

This module describes scenarios for AI solutions that can process written and spoken language. You'll learn about Azure services that can be used to build solutions that analyze text, recognize and synthesize speech, translate between languages, and interpret commands.

After completing this module you will be able to:

Describe features of Natural Language Processing (NLP) workloads on Azure

Module 5: Conversational AI

Conversational AI enables users to engage in a dialog with an AI agent, or bot, through communication channels such as email, webchat interfaces, social media, and others. This module describes some basic principles for working with bots and gives you an opportunity to create a bot that can respond intelligently to user questions.

Conversational AI Concepts

Conversational AI in Azure

After completing this module you will be able to:

Describe features of conversational AI workloads on Azure

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Microsoft opens Bing AI for public checking out, no waitlist required | Resources

Bing AI is now open to all—sort of. Three months after debuting its revamped search engine, Microsoft has announced that or not it's now entering into open preview. you are going to nonetheless should signal into Bing on the edge browser (or the Bing cellular apps) to use the chatbot, however at least you no longer need to contend with a waitlist.

As if to have fun this new phase of Bing (powered by using OpenAI's GPT-four), Microsoft is also rolling out a number of new facets. For one, it will possibly go past mere textual content responses to carry charts, graphs and rich formatting. The Bing image Creator, which faucets into DALL-E to craft AI-generated pictures, also now supports the more than 100 languages that Bing's typical search presents.

Bing AI chat

Microsoft additionally says it's engaged on multi-modal support, which would can help you add photographs to seek specific content. You could, as an example, ask Bing to seek furnishings that matches a unique bookcase in your home.

committed clients will probably admire the addition of conversation histories. up to now, your chats with Bing AI would disappear into the ether. Now, you will be able to continue older discussions at will. Microsoft is additionally attempting to optimize the consumer journey a bit: if you click on into a hyperlink from a chat outcomes, your dialog could be moved into the aspect sidebar for effortless reference.

Bing AI chat

Slowly, however undoubtedly, we're seeing Bing's AI integration blossom from a mere technical check into whatever that we can depend on as a great deal as Microsoft workplace. The company says it's additionally working on bringing over context from previous chats into your conversations, and it will soon be adding share and export facets. enhanced summarization will additionally make Bing more suitable at breaking down PDFs, documents or long web sites. pay attention, faculty professors all over the place.

As you would expect, Microsoft also desires to vogue Bing's AI chat into a genuine platform. The business will soon present third-celebration plugins to do things like verify a reservation through OpenTable, or fetch complex math solutions from Wolfram|Alpha. it is going to be enjoyable to peer how Microsoft manages those plugins notwithstanding: How will those functions be permitted? and may they be able to access any of your records beyond the conversation they're getting used in?

The edge browser is getting its fair proportion of upgrades soon, as neatly. Microsoft says we'll finally see a "sleeker and improved" interface, due to rounded corners and semi-clear features. (Let's just hope the company would not go all Vista with it.) facet will also be empowered by means of Bing AI in new techniques: area's built-in chat may demonstrate you areas to monitor a selected movie you might be shopping about. you are going to also be in a position to Bing chat at once about web sites you are viewing within the aspect cellular apps.

Microsoft will surely have extra AI and area announcements in tow for its construct convention at the conclusion of the month. usually, even though, i ponder how the enterprise plans to pitch Bing's AI chat to normal clients. Microsoft does not need to try very challenging to get tech fans hyped up, however how can it clarify why any individual else may still care?


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