Azure AI Fundamentals

This course is designed to introduce fundamental 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 build awareness of common AI workloads and the ability to identify Azure services to support them

The outcomes of this course for delegates are and ability 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
• Describe features of conversational AI workloads on Azure

The course, along with MS Learn, is designed to help delegates get an understanding of the topics covered on the AI-900 certification exam

Cost
Special discounted pricing for Vuzion Partners can be found on the price guide within the Vuzion Partner portal here or quoted by your BDM. You can also reach out to us at partners@vuzion.cloud

Course Format
Delivered virtually using Microsoft Teams

Course Constitution
This course is constituted as follows

• Theoretical: 60%
• Practical - Demo: 25%
• Practical - Tasks, Activities or Labs: 15%

Percentages are approximate. Whilst we endeavor to include a blend of theory, demo, and activities in all our courses we recognise that some delegates prefer a particular style of course (E.g., wholly, or predominantly lab-based workshops or immersion experiences) and would ask them to consider their preferred learning style before registration. We would also ask delegates to check the site regularly for new courses as we expand to offer different blends of theory/practice

For this course, an Azure subscription is required with spend available to participate in the labs. GitHub will be used for lab details.

Who Should Attend?
Course Level: 100-200. Delegates should come with a basic level of understanding and familiarity with Azure (Azure Fundamentals recommended), as well as a basic understanding of machine learning (ML) and artificial intelligence (AI) concepts. If the delegate does not have this, prior reading is advised

Roles Aimed at: Junior Data Scientists, Junior Software Developers, Junior Architects, Managed Service Engineers, or any data professional who is looking to consolidate their knowledge and looking to certify. It is also aimed at anyone looking to reorientate their career into data. Those who have an interest in Azure and AI are welcome

The course is designed for those with technical backgrounds

This course is not intended for:

• Experienced Data Scientists or Software Developers
• Commercial roles with no involvement with AI
• Roles that have no experience of Azure

Course Capacity
The course capacity is currently 10 seats

Certifications & Competencies
This course is linked to exam AI-900 Azure AI Fundamentals. Exam is not included in the cost of the course and should be ordered and taken separately

Prerequisites
This course has the following prerequisites

• A laptop/desktop with Microsoft Teams and an up-to-date modern browser to access the Azure portal (Edge/Chrome)
• Non-production Azure Subscription with spend. This could be in a separate tenant, in an MSDN subscription or in an Azure trial account. This spend needs to be at least $100

• Foundational knowledge of machine learning (ML) and artificial intelligence (AI) concepts and related Microsoft Azure services