AI Technology - AI Free Course on Internet

Planning a Machine Learning Project

 

 

 

 

 

This course introduces requirements to determine if machine learning (ML) is the appropriate solution to a business problem.

 

• Course level: Fundamental

 

• Duration: 30 minutes

 

Activities

This course includes presentations, videos, and knowledge assessments.

 

 

Course objectives

In this course, you will learn to:

 

• Identify the data, time, and production requirements for a successful ML project

 

 

Intended audience

This course is intended for:

 

• Nontechnical business leaders and other business decision-makers who are, or will be, involved in ML projects

 

• Participants in the AWS Machine Learning Embark program, and Machine Learning Solutions Lab (MLSL) discovery workshops

 

 

Prerequisites

We recommend that attendees of this course have:

 

• Introduction to Machine Learning: Art of the Possible

 

 

Course outline

Module 1: Is a machine learning solution appropriate for my problem?

• Explain how to determine if ML is the appropriate solution to your business problem

 

Module 2: Is my data ready for machine learning?

• Describe the process of ensuring that your data is ML-ready

 

Module 3: How will machine learning impact a project timeline?

• Explain how ML can impact a project timeline

 

Module 4: What early questions should I ask in deployment?

• Identify the questions to ask that affect ML deployment Module 5: Conclusion

 

 

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