Course

Course Summary
Credit Type:
Exam
ACE ID:
MLS-0072
Organization's ID:
AI-102
Organization:
Location:
Worldwide through Certiport and Pearson Vue test centers (and online proctoring through VUE)
Length:
2 hours
Dates Offered:
Credit Recommendation & Competencies
Level Credits (SH) Subject
Upper-Division Baccalaureate 3 computer science
Vocational-Certificate 0 0
Credit is recommended for examinees scoring 700 or above
Description

Objective:

This exam measures your ability to accomplish the following technical tasks: plan and manage an Azure Cognitive Services solutions; implement Computer Vision solutions; implement natural language processing solutions; implement knowledge mining solutions; and implement conversational AI solutions.

Candidates for Exam AI-102: Designing and Implementing a Microsoft Azure AI Solution build, manage, and deploy AI solutions that leverage Azure Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework.

Their responsibilities include participating in all phases of AI solutions development- from requirements definition and design to development, deployment, maintenance, performance tuning, and monitoring.

They 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.

Candidates for this exam should be proficient in C# or Python 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.

Skills Measured:

The skills measured include: plan and manage an Azure cognitive Services solution (15-20%); implement Computer Vision solutions (20-25%); implement natural language processing solutions (20-25%); implement knowledge mining solutions (15-20%); and implement conversational AI solutions (15-20%).
Instruction & Assessment
Supplemental Materials