course overview
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Overview
Artificial Intelligence (AI) will define the next generation of software solutions and unlocks the potential to create amazing applications that improve life for everyone. This course introduces AI and the Microsoft services students can use to create AI solutions.
The Azure AI Fundamentals course is designed for anyone interested in learning about the types of solutions AI makes possible and the services on Microsoft Azure that are used to create them.
To access your Official Curriculum (MOC) course materials you will need a Microsoft.com/Learn account. In Learn you will also be able to register your completion of the event and receive your achievement badge. You will be issued with a unique code during your event.
Audience
After completing this course, students will be able to:
Prerequisites
Students don’t need to have any experience with Microsoft Azure before taking this course; however, a basic level of familiarity with computer technology, cloud computing, and the Internet is assumed. Some of the concepts covered in the course require a basic understanding of mathematics, such as the ability to interpret charts. The course includes hands-on activities that involve working with data and running Python, so knowledge of fundamental programming principles will be helpful.
Outline
Module 1: Introduction to AI
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.
Module 2: 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.
Module 3: Computer Vision Computer vision is 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
Module 4: 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
Module 5: Conversational AI Conversational AI enables users to engage in a dialog with an AI agent, or Bot, through communication channels such as email, webchat interfaces, social media, and others.
This module describes some basic principles for working with bots and gives you an opportunity to create a bot that can respond intelligently to user questions.
If you need training for 3 or more people, you should ask us about onsite training. Putting aside the obvious location benefit, content can be customised to better meet your business objectives and more can be covered than in a public classroom. Its a cost effective option. One on one training can be delivered too, at reasonable rates.
Submit an enquiry from any page on this site and let us know you are interested in the requirements box, or simply mention it when we contact you.
All $ prices are in USD unless it’s a NZ or AU date
SPVC = Self Paced Virtual Class
LVC = Live Virtual Class
Our clients have included prestigious national organisations such as Oxford University Press, multi-national private corporations such as JP Morgan and HSBC, as well as public sector institutions such as the Department of Defence and the Department of Health.
