Course

Course Summary
Credit Type:
Course
ACE ID:
MLS-0100
Organization's ID:
APL-3003
Organization:
Microsoft Corporation
Location:
Online
Length:
5-8 hours
Dates Offered:
Credit Recommendation & Competencies
Competency Framework Statement
AI Competency Framework Data Handling and Manipulation: 3.1 Prepare data for use in an ML or AI project
AI Competency Framework Data Handling and Manipulation: 3.2 Manipulate data
AI Competency Framework Core Language Skills: 1.1 Write code using proper syntax and structure
AI Competency Framework Core Language Skills: 1.2 Incorporate libraries
AI Competency Framework Software Development: 2.2 Apply software development process
AI Competency Framework AI Ecosystems: 1.4 Integrate AI systems in real-world contexts
AI Competency Framework Data Storage: 1.1 Manipulate data stored in files
AI Competency Framework Data Storage: 2.1 Manipulate data stored in databases
Description

Objective:

The course objective is to demonstrate the ability to create a natural language processing (NLP) solution by using Azure AI Language.

Candidates for this credential should have a solid understanding of creating and using various Azure NLP models through both Language Studio and in code, including custom models. They should also have experience programming in either Python or C#, be familiar with the Azure portal, and be comfortable provisioning Azure AI resources.

Learning Outcomes:

  • Deploy a language resource, and use prebuilt models
  • Create a custom text classification solution
  • Create a custom named entity recognition (NER) solution

General Topics:

  • Deploy a language resource, and use prebuilt models
  • Create a custom text classification solution
  • Create a custom named entity recognition (NER) solution
Instruction & Assessment

Instructional Strategies:

  • Computer Based Training
  • Practical Exercises

Methods of Assessment:

  • Other
  • Performance base test

Minimum Passing Score:

70%
Supplemental Materials