Designing and Implementing an Azure AI Solution
An Azure AI
engineer works with Data Engineers and Data Scientists to analyze requirements
for AI cloud-based and hybrid AI solutions and implements solutions. They are
aware of the various components that make up the Microsoft Azure AI portfolio
and related open source frameworks and technologies. The engineer leverages
their knowledge to recommend appropriate tools and technologies for a given
solution. The engineer is aware of the available data storage options and uses
their understanding of cost models, capacity, and best practices to architect
and implement AI solutions.
Designing
and Implementing an Azure AI Solution training course is recommended for azure
AI Engineers to learn how to use cognitive Services, Machine Learning, and Knowledge
Mining to architect and implement Microsoft AI solutions involving natural
language processing, speech, computer vision, bots, and agents. In this
training class, you will be prepared for the exam AI-100 which measures your
ability to accomplish the following technical tasks: analyze solution
requirements, design solutions, integrate AI models into solutions and deploy
and manage solutions.
This course
teaches the concepts of Azure AI engineering by presenting, and developing, a
scenario that creates a customer support Bot that utilizes various tools and
services in the Azure AI landscape like language understanding, QnA Maker, and
various Azure Cognitive Services to implement language detection, text analytics,
and computer vision.
What you’ll
learn:
·
Identify
storage solutions
·
Recommend
tools, technologies, and processes to meet process flow requirements
·
Map
security requirements to tools, technologies, and processes
·
Select
software and services required to support the solution
·
Design
an AI solution that includes one or more pipelines
·
Design
the compute infrastructure to support a solution
·
Design
Intelligent Edge solutions
·
Design
data governance
·
Design
solutions that adhere to cost constraints
·
Orchestrate
an AI workflow
·
Integrate
AI services with solution components
·
Integrate
Intelligent Edge with solutions
·
Provision
required cloud, on-premises, and hybrid environments
·
Validate
solutions to ensure compliance with data privacy and security requirements
·
Monitor
and evaluate the AI environment
Certification
Target Audience
The AI-100
Designing and Implementing an Azure AI Solution certification exam is geared
towards Azure AI Engineer candidates with a working knowledge of basic
statistics, data ethics, and data privacy. Exam candidates should be familiar
with various aspects of the Microsoft Azure AI portfolio, related open source
frameworks and technologies, and available data storage options. Candidates
will use their understanding of cost models, capacity, and best practices to
architect and implement Artificial Intelligence (AI) solutions using Microsoft
Azure.
Pass your
Azure AI Solution:
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