AI-100 Azure AI Engineer Associate, Part 2 of 4: Analyze Solution Requirements

AI-100 Azure AI Engineer Associate, Part 2 of 4: Analyze Solution Requirements

Course description

Azure AI Engineers work with solution architects to translate their vision and with data scientists, data engineers, IoT specialists, and AI developers to build complete end-to-end AI solutions. This course covers the Domain Design AI solutions which is (40-45%) of the exam. This course covers Domain Analyze solution requirements which is (25-30%) of the exam.

Each LearnNowOnline training course is made up of Modules (typically an hour in length). Within each module there are Topics (typically 15-30 minutes each) and Subtopics (typically 2-5 minutes each). There is a Post Exam for each Module that must be passed with a score of 70% or higher to successfully and fully complete the course.


Candidates for this certification should be proficient in C#, Python, or JavaScript and should be able to use REST-based APIs and SDKs to build computer vision, natural language processing, knowledge mining, and conversational AI solutions on Azure. They should also understand the components that make up the Azure AI portfolio and the available data storage options. Plus, candidates need to understand and be able to apply responsible AI principles.

Meet the expert

Anand Rao

Anand Rao is a senior technical instructor and cloud consultant. He has worked with large enterprises for about 15 years and has a wide range of technologies in his portfolio.Anand Rao has delivered instructor led trainings in several states in India as well as several countries like USA, Bahrain, Kenya and UAE. He has worked as a Microsoft Certified Trainer globally for Corporate Major Clients.

Video Runtime

73 Minutes

Time to complete

93 Minutes

Course Outline

Analyze Solution Requirements

Processing Architecture for a solution (24:34)

  • Introduction (00:08)
  • Processing Architecture for a Solution (06:04)
  • Appropriate Data Processing Technologies (03:23)
  • Appropriate AI models and services (06:41)
  • Components and Technologies to Connect Service En (05:04)
  • Identify Automation Requirements (03:04)
  • Summary (00:08)

Introduction to Cognitive Services (20:11)

  • Introduction (00:08)
  • Cognitive Service Intro (04:29)
  • Processes and Regulations with Data Privacy (03:06)
  • Users and Group Access to Information and Interfa (03:54)
  • Identify Appropriate Tools for a Solution (03:38)
  • Identify Auditing Requirements (04:46)
  • Summary (00:08)

Appropriate Services and Tools for a Solution (15:15)

  • Introduction (00:08)
  • Services and Tools for a Solution (04:52)
  • Integration Points with other Microsoft Services (05:36)
  • Storage for Logging and Bot State (04:30)
  • Summary (00:08)

Face Recognition (13:53)

  • Introduction (00:08)
  • Facial Recogniton (06:12)
  • Group Picture Lab Activity (07:24)
  • Summary (00:08)