Citizen AI Developer’s journey
The Citizen AI Developer studies business logic and applicable documents, and defines rules and corner cases. They work closely with subject matter experts (SMEs) on data set collection, have a deep understanding of document logic, and tag data sets for model training. They also deliver a model that handles document data and lead the implementation of ML improvements and re-training
What you’ll learn
- Core Work.AI components and how to automate real business cases with it
- How to customize your workflow depending on your business needs
- Overview of typical machine learning use cases
- How to interpret and measure data
- How to analyze ML model results and propose ways to improve them
- How to train SMEs to tag documents properly to ensure a high-quality data set
- ML project complete delivery process, and more
Your Automation Journey includes 5 courses:
Get to Know Work.AI
Learn about each capability’s value and ease of use. Explore the stages of an automation journey, and how to achieve immediate, scalable results
Start with Work.AI
Gain basic knowledge of how Work.AI Platform works, its applications (Control Tower, WorkSpace, Work.AI Developer), services it uses, and business needs it solves
Building Human-in-the-Loop
Get to know the Manual Task Builder tool, including its components and interface, how to create manual tasks using different templates based on business needs, and how to process them
No-Code Machine Learning
Learn how to create and perform manual tasks, and how to train and modify models with a no-code approach to achieve fully automated process implementation
No-Code Developer Exam
Upon completion of the certification assignment, you will be able to automate real business use cases with the machine learning technology in scope
