Microsoft/AI-100T01: Designing and Implementing an Azure AI Solution


AI-100T01: Designing and Implementing an Azure AI Solution Certification Training Course Overview

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.


Microsoft exam can be taken from home.
This course prepares you for Exam AI-100. Download Course Contents Test your current knowledge Qubits

AI-100T01: Designing and Implementing an Azure AI Solution Course schedule & Prices

Schedule & Prices
Course Details Schedule
Live Virtual Classroom (Instructor-Led)
Duration : 3 Days (6 Days for 4 Hours/Day)
Fee : USD 1,100 (Includes Taxes) 



July
8 Hours/Day
06-08
12-14
13-15
20-22
26-28
06-13
12-18
13-20
20-27
26-01
August
8 Hours/Day
03-05
09-11
10-12
17-19
23-25
24-26
03-10
09-15
10-17
17-24
23-29
24-31
September
8 Hours/Day
07-09
13-15
21-23
27-29
28-30
07-14
13-19
21-28
27-03
28-05
Fly-Me-a-Trainer
Duration : 3 Days
Fee : On Request
Client's Location
As per mutual convenience
Classroom Training (Available: London, Dubai, India, Sydney, Vancouver)
Duration : 3 Days
Fee : On Request
On Request

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Course Prerequisites
  • No formal pre-requisites for this course.

  • Recommend Cognitive Services APIs to meet business requirements
  • Map security requirements to tools, technologies, and processes
  • Select the software, services, and storage required to support a solution
  • Design solutions that include one or more pipelines
  • Design solutions that uses Cognitive Services
  • Design solutions that implement the Bot Framework
  • Design the compute infrastructure to support a solution
  • Design for data governance, compliance, integrity, and security