Microsoft Azure Ai Fundamentals Ai - 900 Full Exam Guide

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Microsoft Azure Ai Fundamentals Ai-900 Full Exam Guide
Published 2/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 32m | Size: 408 MB
Full-Length Lectures and 2 Practice Tests with 200 Questions Total - Master the Azure AI Fundamentals!​

What you'll learn
Understand foundational AI concepts, including machine learning, neural networks, and deep learning.
Explore Azure AI services and their practical applications across industries.
Learn generative AI basics, model types, and common use cases.Differentiate between image classification, object detection, and OCR.
Natural language processing (NLP) solutions with Azure Text Analytics and Translator.
Intelligent chatbots using Azure Bot Framework and QnA Maker.
Knowledge mining with Azure Cognitive Search for data insights
Understand responsible AI principles, including fairness, transparency, and accountability.
Prepare effectively for the AI-900 certification exam with practice tests and mock exams.
Requirements
Basic Computer Literacy: Comfortable using a computer, browsing the internet, and installing software.
Familiarity with Cloud Concepts: Some understanding of cloud services like Microsoft Azure is helpful but not required.
Interest in AI and Machine Learning: Curiosity about how AI works and its real-world applications.
No Coding Required: This course focuses on understanding AI concepts rather than programming skills.
Description
Unlock the power of artificial intelligence with Azure AI Fundamentals, a comprehensive course designed to build your understanding of core AI concepts and practical applications using Microsoft Azure. Whether you're new to AI or looking to advance your cloud skills, this course provides a clear, hands-on approach to learning.Boost your AI-900 exam success with comprehensive lectures and 2 full-length practice tests, totaling 200 expertly crafted questions. This course covers core AI concepts, Azure AI services, and real-world applications to ensure you're fully prepared for the Microsoft Azure AI Fundamentals certification.Master machine learning, computer vision, natural language processing (NLP), and conversational AI while practicing with realistic exam-style questions. Each test includes detailed explanations to reinforce your understanding and build exam confidence.Whether you're an aspiring AI professional, IT enthusiast, or business user, this course equips you with the knowledge and hands-on practice needed to ace the AI-900 exam and apply AI concepts in real-world scenarios.What You'll Learn:Core AI concepts, including machine learning and deep learning.Building and deploying machine learning models using Azure.Image classification, object detection, and OCR with Azure Vision.Natural language processing (NLP) with Azure AI Language and Translator.Creating conversational AI chatbots with Azure Bot Framework and LUIS.Knowledge mining with Azure Cognitive Search.Responsible AI principles for ethical and transparent solutions.
Who this course is for
Beginners in AI and Cloud Computing: No prior experience required-just a curiosity about how AI works.
Business Professionals: Learn how AI can drive insights and efficiency in your industry.
IT Professionals and Developers: Expand your skills by exploring Azure AI services and solutions.
Students and Educators: Build foundational AI knowledge for academic or teaching purposes.
Aspiring AI Practitioners: Prepare for the AI-900 certification and future AI-focused roles.
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Exam AI-900 Microsoft Azure AI Fundamentals
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 3h 7m | 522 MB
Instructor: Tim Warner​

Prepare to become an AI professional and ace the Microsoft Exam AI-900 with our comprehensive video course from Microsoft Press, covering everything from the fundamentals of AI to practical applications using Azure AI services.

The technologies covered in Microsoft Exam AI-900, including machine learning, natural language processing, computer vision, and cognitive services, are widely used in real-world applications across various industries.

In healthcare, AI is used for medical image analysis, drug discovery, and predicting patient outcomes. In finance, AI is used for fraud detection, credit scoring, and algorithmic trading. In retail, AI is used for recommendation systems, supply chain optimization, and inventory management. In manufacturing, AI is used for predictive maintenance, quality control, and autonomous robotics. In customer service, AI is used for chatbots, sentiment analysis, and personalized marketing.

These are just a few examples of how AI technologies are being used in the real world, and the demand for professionals with the skills to develop and implement these technologies is rapidly .

Skill Level:

Beginner
Intermediate

What You Will Learn:

After completing this video, you will be able to:

• Comprehend Artificial Intelligence workloads and considerations
• Understand fundamental principles of machine learning on Azure
• Work with all features of computer vision workloads on Azure
• Experiment with features of Natural Language Processing (NLP) workloads on Azure

Who Should Take This Course:

• Data analysts or scientists who want to expand their skills to include AI and machine learning.
• Software developers or engineers who want to incorporate AI capabilities into their software applications.
• IT professionals who want to learn how to leverage AI technologies in their organization.
• Project managers or team leaders who want to understand the potential impact of AI on their organization.
• Students or recent graduates who want to gain a basic understanding of AI concepts and how they can be applied in different industries.

Prerequisite:

This exam is intended for candidates with both technical and non-technical backgrounds. Data science and software engineering experience are not required; however, awareness of cloud basics and client-server applications would be beneficial.

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