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Course Features
Duration
5 months
Delivery Method
Online
Available on
Limited Access
Accessibility
Desktop, Laptop
Language
English
Subtitles
English
Level
Advanced
Effort
10 hours per week
Teaching Type
Self Paced
Course Description
Highlights
Hands on training
Top 30 Percentile
Pedagogy
Top 1 Percentile
Career Impact
Top 1 Percentile
Course Credibility
Top 1 Percentile
Parameters
Course Credibility
Delivered through Udacity a renowned institution in the field, this course offers a comprehensive learning experience.
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Pedagogy
This comprehensive course equips you with all major Robotics Process Automation skills applicable to your daily life. Personalized teaching ensures one-on-one doubt resolution with faculty, maximizing skill acquisition. These practical skills empower you to confidently apply your knowledge and thrive in various real-life situations. An exceptional course in Robotics Process Automation, this stands out for its Self Paced learning approach. Learners have the flexibility to progress at their own speed, tailoring the experience to their individual needs.
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Hands on training
Inclusion of the capstone project and hands-on training offers a dual focus. This enriches its value, making it an ideal choice for those seeking comprehensive learning and real-world application in Robotics Process Automation.
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Career Impact
This course is exceptional, ranking among the top 1 percentile in Robotics Process Automation for its significant career impact and excellent job assistance. Learners benefit from valuable career opportunities and support, enabling them to secure relevant positions and excel in the industry. The course's dual focus on career impact and job assistance enhances its value, making it an ideal choice for individuals seeking to advance their careers and succeed in the Robotics Process Automation field.
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Course Overview
Job Assistance
Personlized Teaching
International Faculty
Post Course Interactions
Hands-On Training,Instructor-Moderated Discussions
Case Studies, Captstone Projects
Skills You Will Gain
Prerequisites/Requirements
Build object-oriented programs in any language (ideally Python or C++)
Compute integrals and derivatives of polynomial functions
Multiply matrices and understand related aspects of linear algebra
Calculate mean, median, and standard deviation of a dataset
Model the effects of forces on point masses
What You Will Learn
Develop critical Machine Learning skills
Learn about the Lidar sensor and its role in the Autonomous Vehicle Sensor suite
Learn all about Robotic Localization
Apply Model-Driven and Data-Driven approaches to predict how other vehicles on the road will behave
Target Students
Anyone who meets the eligibility criteria can join this course
Course Instructors
Corporate Sponsors
Course FAQs
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