AI-100 Exam Study Guide (Microsoft Azure AI Solution)

AI-100 Designing and Implementing an Azure AI Solution Certificate Exam Study Guide

Preparing for AI-100 Designing and Implementing an Azure AI Solution Certificate exam? Don’t know where to start? This post is the AI-100 Certificate Study Guide (with links to each exam objective).

I have curated a list of articles from Microsoft documentation for each objective of the AI-100 exam. I hope this article will help you to prepare for the AI-100 Certification exam. Also, please share the post within your circles so it helps them to prepare for the exam.

AI-100 Azure AI Practice Test and Lab

AI-100 Azure AI Related Study Materials

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Analyze solution requirements (25-30%)

Recommend Cognitive Services APIs to meet business requirements

Select the processing architecture for a solution

Select the appropriate data processing technologies

Select the appropriate AI models and services

Identify components and technologies required to connect service endpoints

Identify automation requirements


Map security requirements to tools, technologies, and processes

Identify processes and regulations needed to conform with data privacy, protection, and regulatory requirements

Identify which users and groups have access to information and interfaces

Identify appropriate tools for a solution

Identify auditing requirements


Select the software, services, and storage required to support a solution

Identify appropriate services and tools for a solution

Identify integration points with other Microsoft services

Identify storage required to store logging, bot state data, and Cognitive Services output


Amazon link (affiliate)

Design AI solutions (40-45%)

Design solutions that include one or more pipelines

Define an AI application workflow process

Design a strategy for ingest and egress data

Design the integration point between multiple workflows and pipelines

Integrating Data in Microsoft Azure

Design pipelines that use AI apps

Design pipelines that call Azure Machine Learning models

Select an AI solution that meet cost constraints


Design solutions that uses Cognitive Services

Design solutions that use vision, speech, language, knowledge, search, and anomaly detection APIs


Design solutions that implement the Bot Framework

Integrate bots and AI solutions

Building with Conversational AI

Design bot services that use Language Understanding (LUIS)

Design bots that integrate with channels

Integrate bots with Azure app services and Azure Application Insights


Design the compute infrastructure to support a solution

Identify whether to create a GPU, FPGA, or CPU-based solution

Identify whether to use a cloud-based, on-premises, or hybrid compute infrastructure

Select a compute solution that meets cost constraints


Design for data governance, compliance, integrity, and security

Define how users and applications will authenticate to AI services

Design a content moderation strategy for data usage within an AI solution

Ensure that data adheres to compliance requirements defined by your organization

Ensure appropriate governance for data

Design strategies to ensure that the solution meets data privacy regulations and industry standards

Integrate AI services with solution components

Configure prerequisite components and input datasets to allow the consumption of Cognitive Services APIs

Configure integration with Cognitive Services

Configure prerequisite components to allow connectivity to the Bot Framework

Implement Azure Cognitive Search in a solution


Monitor and evaluate the AI environment

Identify the differences between KPIs, reported metrics, and root causes of the differences

Identify the differences between expected and actual workflow throughput

Maintain an AI solution for continuous improvement

Monitor AI components for availability

Recommend changes to an AI solution based on performance data

This brings us to the end of AI-100 Study Guide

What do you think? Let me know in the comments section if I have missed out on anything. Also, I love to hear from you about how your preparation is going on!

In case you are looking for other Azure certification exams check out this page

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