IL - AI-100: Designing and Implementing an Azure AI Solution

Course Overview

Course Details:
Gain the necessary knowledge for designing Azure AI solution by building a customer support chat Bot using artificial intelligence from the Microsoft Azure platform including language understanding and pre-built AI functionality in the Azure Cognitive Services.

Outcome: 
Pass the AI-100 Designing and Implementing an Azure AI Solution exam to be awarded the Microsoft Certified: Azure AI Engineer Associate certification.
Students learn how to develop AI solutions using Microsoft Azure.

Course Details
  • Duration: 3 Days
  • Level: 300

Who this course is designed for
  • This course is aimed at Cloud Solution Architects, Azure artificial intelligence designers, and AI developers.

  • 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
  • Azure Fundamentals
  • C# Knowledge

Course Outline

Module 1: Analyze solution requirements

In this module you will learn how to Identify storage solutions, recommend tools, technologies, and processes to meet process flow requirements, map security requirements to tools, technologies, and processes and select software and services required to support the solution.

Module 2: Design solutions

In this module you will learn how to 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 and design solutions that adhere to cost constraints.

Module 3: Integrate AI models into solutions

In this module you will learn how to orchestrate an AI workflow, integrate AI services with solution components and integrate Intelligent Edge with solutions.

Module 4: Deploy and manage solutions

In this module you will learn how to provision required cloud, on-premises, and hybrid environments, salidate solutions to ensure compliance with data privacy and security requirements and monitor and evaluate the AI environment.

Training Options


Dedicated Delivery

This course can be delivered dedicated to your team either virtually or onsite. A dedicated delivery allows deeper discussion with your team and our instructor on projects and workloads that are specific to your environment.

Customized Delivery

This course can be customized by adding or removing topics, going deeper on specific topics, or by customizing the delivery schedule to make it easier for your team to attend the training.

Contact a Cloud Training Specialist

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Course Schedule