What you’ll learn
- Main concepts to enable suggestions of new AI opportunities for value creation
- Identify and prioritize AI/ML use cases
- Create a roadmap for AI use cases
- Key aspects of Machine Learning projects
This course includes:
- 1.5 hours on-demand video
- Access on mobile and TV
- Full lifetime access
- Certificate of completion
This course is intended for managers, product owners, and business analysts, without any prior technical expertise, willing to leverage Artificial Intelligence (AI) and Machine Learning (ML) in real business applications.
The main goal is to enable you to identify and suggest business opportunities applying AI/ML.
In this course, you will go through:
- Key aspects of AI/ML
This will be done in a light format, intended for non-technical people.
There are NO math/programming/statistics/technical background requirements.
With this knowledge, you will be able to better understand the inner workings of AI, its purpose, and the circumstances in which it is best suited.
- Business case discovery
In this module, the requirements and objectives of an AI model will be covered, alongside examples and a guideline.
This knowledge will guide you in identifying cases where AI can be leveraged to create value.
- Project roadmap creation
AI/ML projects involve a very specific staged development with unique steps that make up the process. Those are both cyclical and incremental, due to the trial-and-error nature of the project.
Those unique characteristics demand a more specific analysis than standard software development, with several factors to consider, both technical and business-related.
Factoring into the planning those components protect the project against disruptions, unexpected hurdles, challenges, and potential failure.
- Project management
In this module major stages, steps, and considerations are covered.
Learning the most important aspects of an AI project, and how its development is done is crucial.
In this course, you are not intended to learn how to create a model or any other technical data-related task.
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