AI-900T00: Microsoft Azure AI Fundamentals Course Overview

An introductory course that gives students a basic understanding of artificial intelligence (AI) concepts and related Microsoft Azure services is called AI-900T00: Microsoft Azure AI Fundamentals. With a focus on hands-on exercises utilizing Azure’s AI tools, this extensive course is made to walk students through the fundamentals of AI, machine learning, computer vision, natural language processing, conversational AI, and more. Students will learn about the foundations of artificial intelligence, as well as how Azure integrates AI and why responsible AI practices are crucial. Along with covering the application and management of these models in Azure, the course delves deeply into the fundamentals of machine learning. Students gain practical experience with automated machine learning and other AI capabilities by investigating Azure AI Services. In the Computer Vision module, participants will learn how to use Azure’s Vision Studio to analyze images, identify faces, and read text. The course also covers the features of natural language processing, providing an understanding of speech services in Azure, text analysis, and conversational understanding. The course concludes with a discussion of the newly-emerging field of generative AI and how Azure OpenAI Service makes it possible, emphasizing the significance of ethical issues when using these potent AI models. After completing the AI-900T00 course, students will have a firm grasp of Azure AI Services, enabling them to apply AI solutions in a variety of applications in an ethical and efficient manner.

Course Prerequisites

Indeed! The following are the minimal requirements for students planning to enroll in the Microsoft Azure AI Fundamentals course, AI-900T00: AI for Students:

• Basic knowledge of computing concepts: familiarity with the fundamental ideas behind computers, such as what a network is and what a computer program is.
• Basic knowledge of data concepts: An awareness of databases and fundamental data types, as well as an understanding of how data is processed and stored.
• Basic mathematical knowledge, such as algebra and statistics, is required to comprehend machine learning algorithms at the introductory level.
• General knowledge of cloud computing: Since Azure is a cloud platform, knowing about cloud services and cloud models (IaaS, PaaS, and SaaS) is beneficial.
• No prior knowledge of Azure is necessary. Although it can be helpful, prior Azure experience is not required for this course. Over the training, the fundamentals will be covered.
• A desire to learn about artificial intelligence and machine learning a curiosity about machine learning, artificial intelligence, and how these technologies are used in practical situations.
• English proficiency: Technical English reading and comprehension skills are essential because the course materials and instructions are written in this language.

Target Audience for AI-900T00: Microsoft Azure AI Fundamentals

• IT specialists with a passion for AI
• Data analysts trying to comprehend applications of AI
• Developers of software who want to incorporate AI into their products
• Architects for cloud solutions investigating Azure AI capabilities
• Data scientists can start using Azure AI services and tools.
• AI enthusiasts and hobbyists who want to formalize their understanding
• Technical managers in charge of AI-driven initiatives
• Pupils pursuing computer science or similar subjects
• Non-technical positions trying to understand how AI will affect their sector (e.g., Project Managers, Business Analysts)
• Professionals in fields like healthcare, finance, and retail where artificial intelligence is becoming more and more important
• Teachers and instructors getting ready to impart the foundations of AI
• Changing careers and entering the tech and AI fields

LLearning Objectives – What you will Learn in this AI-900T00: Microsoft Azure AI Fundamentals?

Introduction to the AI-900T00: Microsoft Azure AI Fundamentals Course Learning Outcomes and Concepts:

The fundamentals of artificial intelligence (AI), machine learning, vision, natural language processing, and conversational AI using Azure services are covered in this course.

Learning Objectives and Outcomes:

• Gain an understanding of the fundamentals and uses of artificial intelligence, as well as a summary of Azure’s AI capabilities and the significance of responsible AI.
• Learn about the basic ideas of machine learning as well as how to use Azure Machine Learning for automated machine learning.
• Discover the fundamentals of optical character recognition, face recognition, and computer vision, and gain practical experience with Vision Studio.
• Discover the basics of machine learning and how Azure Machine Learning services can help you put it into practice.
• Learn the fundamentals of computer vision and how to use Azure’s computer vision services to put them into practice.
• Gain an understanding of the fundamentals and uses of artificial intelligence, as well as a summary of Azure’s AI capabilities and the significance of responsible AI.
• Learn about the basic ideas of machine learning as well as how to use Azure Machine Learning for automated machine learning.
• Discover the fundamentals of optical character recognition, face recognition, and computer vision, and gain practical experience with Vision Studio.
• Discover the basics of machine learning and how Azure Machine Learning services can help you put it into practice.
• Learn the fundamentals of computer vision and how to use Azure’s computer vision services to put them into practice.