This course introduces fundamentals concepts related to artificial intelligence (AI), and the services in Microsoft Azure that can be used to create AI solutions. The course is not designed to teach students to become professional data scientists or software developers, but rather to build awareness
Overview:
This course introduces fundamentals concepts related to artificial intelligence (AI), and the services in Microsoft Azure that can be used to create AI solutions. The course is not designed to teach students to become professional data scientists or software developers, but rather to build awareness of common AI workloads and the ability to identify Azure services to support them.
The course is designed as a blended learning experience that combines instructor-led training with online materials on the Microsoft Learn platform. The hands-on exercises in the course are based on Learn modules, and students are encouraged to use the content on Learn as reference materials to reinforce what they learn in the class and to explore topics in more depth.
Upon successful completion of this course, students will have the skills necessary to:
• 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
Module 1: Explore Fundamentals of Artificial Intelligence
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.
Lessons
• Introduction to Artificial Intelligence
• Artificial Intelligence in Microsoft Azure
After completing this module, students will be able to:
• Describe Artificial Intelligence workloads and considerations
Module 2: Explore Fundamentals of 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.
Lessons
• Introduction to Machine Learning
• Azure Machine Learning
After completing this module, students will be able to:
• Describe fundamental principles of machine learning on Azure
Module 3: Explore Fundamentals of 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.
Lessons
• Computer Vision Concepts
• Creating Computer Vision solutions in Azure
After completing this module, students will be able to:
• Describe features of computer vision workloads on Azure
Module 4: Explore Fundamentals of 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.
Lessons
• Introduction to Natural Language Processing
• Building Natural Language Solutions in Azure
After completing this module, students will be able to:
• Describe features of Natural Language Processing (NLP) workloads on Azure
We are a Scottish SME on a mission to be the only training provider your company will ever need. To date we’ve run over 9,000 courses in more than 1,100 organisations, across public and private sectors. 96% of course attendees rate their training experience with us as excellent or very good.
The Azure Fundamentals course provides basic knowledge and skills to the delegates to evaluate Microsoft Azure in their organizations. The course explains how to implement the principles of cloud computing in Microsoft Azure and core Azure infrastructure comprising storage and virtual networks.
Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring
Microsoft Certified: Azure Security Engineer Associate course will help you to earn the required expertise to implement threat protection, identity management, security controls, data protection, and securing the networks and applications in the cloud and hybrid environments.
Microsoft Azure Security Technologies (MAZ 500) training course validates the capacity of an individual to demonstrate specialized data classifications on the Azure platform.
This course offers the knowledge and understanding of the fundamental concepts of Microsoft Azure to those candidates who are interested in Developing Microsoft Azure Solutions.
© 2024 coursetakers.com All Rights Reserved. Terms and Conditions of use | Privacy Policy