10-04-2024, 08:49 AM
Microsoft Certified: Azure Ai Fundamentals Ai-900
![[Image: a100e913814e38043e6eb96476c7a8fd.jpeg]](https://i124.fastpic.org/big/2024/1004/fd/a100e913814e38043e6eb96476c7a8fd.jpeg)
Published 10/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 4.06 GB | Duration: 7h 13m
Demonstrate fundamental AI concepts related to the development of software and services of Microsoft Azure to create AI
What you'll learn
Describe Artificial Intelligence 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 generative AI workloads on Azure
Requirements
The Azure AI Fundamentals course is designed for anyone interested in learning about the types of solution 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
Description
Azure AI Fundamentals is a foundational certification designed to introduce you to the world of artificial intelligence (AI) and its applications on Microsoft Azure. This course is ideal for individuals seeking a comprehensive understanding of AI concepts and the Azure services that enable their implementation.Key Benefits
emonstrate AI Knowledge: Validate your proficiency in machine learning and AI principles.Explore Azure Services: Gain familiarity with relevant Microsoft Azure tools and technologies.Prepare for Advanced Certifications: Serve as a stepping stone towards Azure Data Scientist Associate or Azure AI Engineer Associate.Prerequisites:While prior experience in data science or software engineering is not mandatory, a basic understanding of the following is recommended:Cloud Computing: Familiarity with fundamental cloud concepts.Client-Server Applications: Knowledge of how client-server architectures function.Mathematics: A grasp of basic mathematical principles, particularly the ability to interpret charts.Programming: A foundational understanding of programming principles will be beneficial for hands-on activities.Course Content:The course covers a wide range of AI topics, including:Introduction to AI: Explore the basics of AI, machine learning, and deep learning.Azure AI Services: Learn about various Azure services for building AI solutions, such as Azure Machine Learning, Azure Cognitive Services, and Azure IoT.AI Use Cases: Discover real-world applications of AI across different industries.Hands-On Exercises: Engage in practical activities to apply AI concepts and Azure services.
Overview
Section 1: AI Overview
Lecture 1 AI Overview
Lecture 2 Fundamentals of machine learning
Lecture 3 Fundamentals of Azure AI services
Section 2: Microsoft Azure AI Fundamentals: Computer Vision
Lecture 4 Fundamentals of Computer Vision
Lecture 5 Fundamentals of Facial Recognition
Lecture 6 Fundamentals of optical character recognition
Section 3: Microsoft Azure AI Fundamentals: Natural Language Processing
Lecture 7 Fundamentals of Text Analysis with the Language Service
Lecture 8 Fundamentals of question answering with the Language Service
Lecture 9 Fundamentals of conversational language understanding
Section 4: Microsoft Azure AI Fundamentals: Document Intelligence and Knowledge Mining
Lecture 10 Fundamentals of Azure AI Document Intelligence
Lecture 11 Fundamentals of Knowledge Mining and Azure AI Search
Section 5: Microsoft Azure AI Fundamentals: Generative AI
Lecture 12 Fundamentals of Generative AI
Lecture 13 Introduction to Azure Open AI Studio
Beginner, AI Engineer
Screenshots
![[Image: feac2161d4b3c3aab65b443fa17bdc41.jpeg]](https://i124.fastpic.org/big/2024/1004/41/feac2161d4b3c3aab65b443fa17bdc41.jpeg)
rapidgator.net:
ddownload.com:
Published 10/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 4.06 GB | Duration: 7h 13m
Demonstrate fundamental AI concepts related to the development of software and services of Microsoft Azure to create AI
What you'll learn
Describe Artificial Intelligence 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 generative AI workloads on Azure
Requirements
The Azure AI Fundamentals course is designed for anyone interested in learning about the types of solution 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
Description
Azure AI Fundamentals is a foundational certification designed to introduce you to the world of artificial intelligence (AI) and its applications on Microsoft Azure. This course is ideal for individuals seeking a comprehensive understanding of AI concepts and the Azure services that enable their implementation.Key Benefits
emonstrate AI Knowledge: Validate your proficiency in machine learning and AI principles.Explore Azure Services: Gain familiarity with relevant Microsoft Azure tools and technologies.Prepare for Advanced Certifications: Serve as a stepping stone towards Azure Data Scientist Associate or Azure AI Engineer Associate.Prerequisites:While prior experience in data science or software engineering is not mandatory, a basic understanding of the following is recommended:Cloud Computing: Familiarity with fundamental cloud concepts.Client-Server Applications: Knowledge of how client-server architectures function.Mathematics: A grasp of basic mathematical principles, particularly the ability to interpret charts.Programming: A foundational understanding of programming principles will be beneficial for hands-on activities.Course Content:The course covers a wide range of AI topics, including:Introduction to AI: Explore the basics of AI, machine learning, and deep learning.Azure AI Services: Learn about various Azure services for building AI solutions, such as Azure Machine Learning, Azure Cognitive Services, and Azure IoT.AI Use Cases: Discover real-world applications of AI across different industries.Hands-On Exercises: Engage in practical activities to apply AI concepts and Azure services.Overview
Section 1: AI Overview
Lecture 1 AI Overview
Lecture 2 Fundamentals of machine learning
Lecture 3 Fundamentals of Azure AI services
Section 2: Microsoft Azure AI Fundamentals: Computer Vision
Lecture 4 Fundamentals of Computer Vision
Lecture 5 Fundamentals of Facial Recognition
Lecture 6 Fundamentals of optical character recognition
Section 3: Microsoft Azure AI Fundamentals: Natural Language Processing
Lecture 7 Fundamentals of Text Analysis with the Language Service
Lecture 8 Fundamentals of question answering with the Language Service
Lecture 9 Fundamentals of conversational language understanding
Section 4: Microsoft Azure AI Fundamentals: Document Intelligence and Knowledge Mining
Lecture 10 Fundamentals of Azure AI Document Intelligence
Lecture 11 Fundamentals of Knowledge Mining and Azure AI Search
Section 5: Microsoft Azure AI Fundamentals: Generative AI
Lecture 12 Fundamentals of Generative AI
Lecture 13 Introduction to Azure Open AI Studio
Beginner, AI Engineer
Screenshots
rapidgator.net:
ddownload.com:
