[Pearson / O\'Reilly Media] Exam AI-900 Microsoft Azure AI Fundamentals
|
||||||||||||||||||||||||||||||||||||||||||
|
Home » Training video » Computer video tutorials and educational interactive discs » Microsoft OS and server programs |
| DL-List and Torrent activity | |
| Size: 523 MB | Registered: 1 year 4 months | Completed: 0 times | |
|
|
| Author | Message | |||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
Download Windows ® Gender: Longevity: 9 years Posts: 6887
|
Exam AI-900 Microsoft Azure AI Fundamentals
Год выпуска: July 2023 Производитель: Published by Pearson via O'Reilly Learning Сайт производителя: https://learning.oreilly.com/videos/exam-ai-900-microsoft/9780138202781/ Автор: Tim Warner Продолжительность: 3h 7m Тип раздаваемого материала: Видеоурок Язык: Английский + субтитры Описание: 3+ Hours of Video Instruction 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 increasing. About the Instructor As an experienced and knowledgeable instructor with a background in AI and Microsoft Azure, Tim Warner is optimally suited to provide expert guidance and insights on the subject matter. The author presents the material in an engaging and easy-to-understand way that will resonate with the audience. Tim has 25 years of experience as a Microsoft technical professional, and Microsoft Certified Trainer (MCT). He is a Five-year veteran of the Microsoft MVP program. He has widespread knowledge of Microsoft AI technologies as a Microsoft FTE attached to several Azure product engineering teams, and has extensive experience teaching on Microsoft AI products, services, and certifications. 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. СодержаниеIntroductionLesson 1 Identify Features of Common AI Workloads Lesson 2 Identify Guiding Principles for Responsible AI Lesson 3 Identify Common Machine Learning Types Lesson 4 Describe Core Machine Learning Concepts Lesson 5 Describe Capabilities of Visual Tools in Azure Machine Learning Studio Lesson 6 Identify Common Types of Computer Vision Solution Lesson 7 Identify Azure Tools and Services for Computer Vision Tasks Lesson 8 Identify Features of Common NLP Workload Scenarios Lesson 9 Identify Azure Tools and Services for NLP Workloads Lesson 10 Identify Considerations for Conversational AI Solutions on Azure Summary Формат видео: MP4 Видео: AVC, 1280×720, 16:9, 30.000 fps, 3 000 kb/s (0.017 bit/pixel) Аудио: AAC, 44.1 KHz, 2 channels, 128 kb/s, CBR
 |
|||||||||||||||||||
![[Profile]](./templates/default/images/lang/en/icon_profile.gif "View user's profile"){kind=icon} ![[PM]](./templates/default/images/lang/en/icon_pm.gif "Send private message"){kind=icon} |
||||||||||||||||||||
![[Quote]](./templates/default/images/lang/en/icon_quote.gif "Reply with quote"){kind=icon}
|
|
Home » Training video » Computer video tutorials and educational interactive discs » Microsoft OS and server programs |
Current time is: 24-Feb 12:16
All times are UTC + 2
You cannot post new topics in this forum
You cannot reply to topics in this forum You cannot edit your posts in this forum You cannot delete your posts in this forum You cannot vote in polls in this forum You cannot attach files in this forum You can download files in this forum |