Foundations of Robotic Process Automation (RPA)

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Robotic Process Automation (RPA) has been gaining increased interest lately to help companies and agencies automate many rote, simple, back-office tasks. These automation tools complete repetitive tasks with ease and speed freeing up workers to focus on more complex, higher value tasks. RPA bots save companies time, money, and resources. In this foundation level course we’ll explore the basics of RPA, what these bots can and can’t do, and how AI is being applied to help handle more complex tasks. This course is ideal for executives, managers, or those who may be building or using bots.

What Will I Learn?

  • Basics of RPA
  • Common RPA terminology
  • A history of process automation
  • Challenges with API and System-to-System integration
  • Automation vs Autonomous
  • Attended vs Unattended bots
  • RPA applications and use cases
  • Current limits of RPA
  • Best practices for building and deploying RPA

Who is this Training For?

  • Project Manager
  • Product Manager
  • Capability Manager
  • Technical Manager
  • Acquisitions Manager
  • Procurement & Contracting Officers
  • Computer Systems Programmer
  • Developer
  • Artificial Intelligence Research Associate
  • Data Scientist
  • AI / Machine Learning (ML) Engineer
  • AI Assurance Engineer
  • Test & Evaluation Engineer, System Engineer
  • Network Analyst
  • Data Analyst
  • Operations Research Analyst
  • Deployment Engineer
  • Knowledge Operations Manager
  • Network Infrastructure Engineer
  • Information Technician
  • Data engineer
  • Network operations
  • Information technician
  • Data technician

Supported Learning Paths

  • Cognilytica: AI Decision-Makers, RPA 
  • DoD JAIC: Drive AI, Create AI, Embed AI
  • Edison DSF: Data Science Managers (DSP01 - DSP03), Data Science Professionals (DSP04 -DSP09), Data Engineering Professionals (DSP10-DSP16), Data & User Support (DSP20-DSP22)

Learning Levels

  • DoD JAIC AI: BASIC (Foundation) Level
  • Edison DSF: Level 2-3
  • Category: Foundations of AI & Data Science