Studyportals
Certificate Online

Implementing RPA with Cognitive Automation and Analytics Coursera

Highlights
Tuition fee
Free
Free
Free
Unknown
Tuition fee
Free
Free
Free
Unknown
Duration
1 months
Duration
1 months
Apply date
Anytime
Unknown
Apply date
Anytime
Unknown
Start date
Anytime
Unknown
Start date
Anytime
Unknown
Taught in
English
Taught in
English

About

The Implementing RPA with Cognitive Automation and Analytics Specialization offered by Coursera in partnership with Automation Anywhere is designed to introduce RPA, provide a foundation of the RPA lifecycle--from design to bot deployment--and implement RPA with cognitive automation and analytics. 

Overview

The explosive growth of Robotic Process Automation (RPA) in the past few years has created a tremendous demand to learn and become skilled in this exciting technology. Experienced and novice users and developers of RPA will all benefit from completing this Specialization. If you are interested in starting a career in automation or boosting your profile in it, now’s the time and here’s the place!  

With RPA, companies can deploy software robots to automate repetitive tasks, improving business processes and outcomes. When used in combination with cognitive automation and automation analytics, RPA can help transform the nature of work, adopting the model of a Digital Workforce for organizations. This allows human employees to focus on more value-added work, improve efficiency, streamline processes, and improve key performance indicators.

Applied Learning Project

  • Learners in this Implementing RPA with Cognitive Automation and Analytics Specialization offered by Coursera in partnership with Automation Anywhere will complete various projects in each course that identify business processes for automation and build software bots by applying knowledge and skills including: Robotic Process Automation, cognitive intelligence, and RPA analytics.  

Programme Structure

Courses include:

  • RPA Lifecycle: Discovery and Design
  • RPA Lifecycle: Development and Testing
  • RPA Lifecycle: Deployment and Maintenance
  • Cognitive Solutions and RPA Analytics

Key information

Duration

  • Part-time
    • 1 months
    • 10 hrs/week

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online
  • Self-paced

Campus Location

  • Mountain View, United States

What students do after studying

Join for free or log in to access our complete career info list.

Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

Beginner Level

  • No prior experience required.
  • To obtain additional information about the programme, we kindly suggest that you visit the programme website, where you can find further details and relevant resources.  

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
  • International

    Non-residents
    Free
  • Out-of-State
    Free
  • Domestic

    In-State
    Free

Additional Details

  • This short course is included with Coursera Plus subscription

Funding

Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.

Other interesting programmes for you

Our partners

Implementing RPA with Cognitive Automation and Analytics
Coursera
Implementing RPA with Cognitive Automation and Analytics
-
Coursera

Wishlist

Go to your profile page to get personalised recommendations!