Implementing RPA with Cognitive Automation and Analytics Specialization
Design, develop and deploy software bots with RPA. Build an intelligent digital workforce using RPA, cognitive automation, and analytics. Automate business processes using Automation Anywhere products.
About this Specialization
Applied Learning Project
Learners in this specialization 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.
No prior experience required.
No prior experience required.
Automation Anywhere is a global leader in Robotic Process Automation (RPA), empowering customers to automate end-to-end business processes with software bots – digital workers that perform repetitive and manual tasks, resulting in dramatic productivity gains, optimized customer experience and more engaged employees. The company offers the world’s only web-based and cloud native intelligent automation platform combining RPA, artificial intelligence, machine learning and analytics right out of the box, to help organizations rapidly start and scale their process automation journey. For additional information, visit https://automationanywhere.com.
Frequently Asked Questions
What is the refund policy?
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
Can I just enroll in a single course?
Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.
Is financial aid available?
Yes, 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. Learn more.
Can I take the course for free?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. If you only want to read and view the course content, you can audit the course for free. If you cannot afford the fee, you can apply for financial aid.
Is this course really 100% online? Do I need to attend any classes in person?
This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.
Will I earn university credit for completing the Specialization?
This Specialization doesn't carry university credit, but some universities may choose to accept Specialization Certificates for credit. Check with your institution to learn more.
How long does it take to complete the Specialization?
It will take approximately 35 hours to complete this Specialization. If learners spend two hours every day, it can be completed in approximately 28 days or 4 weeks.
What background knowledge is necessary?
None. Learners will be introduced to the concepts of Robotic Process Automation.
Do I need to take the courses in a specific order?
Yes. The courses are numbered sequentially and should be taken in that order as each builds off of the previous.
What will I be able to do upon completing the Specialization?
You will be able to:
- Create, manage, and monitor software bots using RPA tools from Automation Anywhere
- Train a bot to perform data extraction using the cognitive tool from Automation Anywhere
- Analyze the bot for operational and business insights using the Automation Anywhere analytics program
More questions? Visit the Learner Help Center.