Robotic Process Automation:
RPA, or robotic process automation, is software that mimics human actions and completes a task as long as the task is completed within a procedure. RPA performs repetitive tasks more consistently, swiftly, and correctly than humans. As a result, we are free to focus on tasks that require our attention, such as logic, judgement, emotional intelligence, and customer connection. This field has a wide range of applications. Employees can now spend fewer hours completing data entry thanks to the development of robotic process automation. It has altered the way business is conducted. Software that is impersonated by a robot is built for the purpose of data entering. This procedure serves as a common ground for both manual and automated data entry. Because employees are no longer bound to execute repetitive jobs, robotic process automation allows them to focus on other things that require their attention. This automated procedure is quite beneficial.
In the Fourth Industrial Revolution, also known as Industry 4.0, the digital and physical worlds converge—fueled by the spread of technologies many companies have started welcoming and implementing technologies and preparing for the future so that smart machines can improve their business and always be competitive in the market.
The most important condition for every firm to succeed is a procedure that saves both time and money. To get the process done in a firm, it's critical to strike the correct balance between time and revenue, and robotic process automation can help you do just that. Employees used to have to pay attention to repeated activities, but now they may be accomplished quickly with robotic process automation. Not only will you save time, but you will also save money. Employees who were previously assigned to these activities can now devote their attention to other vital responsibilities. According to studies, automated technology can fulfil 49 percent of a person's work, which is a significant factor in today's economy.
SESSIONS | COURSE TOPICS |
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SESSION 1 DS2106HV01S1 |
Introduction to Data Science Languages for Data Science Python and R Installation Statistics |
SESSION 2 DS2106HV01S2 |
Descriptive Statistics Inferential statistics Data Science Libraries Numpy |
SESSION 3 DS2106HV01S3 |
Pandas Semi Supervised and Reinforcement Learning Deep Learning Natural Language Processing |
SESSIONS | COURSE TOPICS |
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SESSION 1 CC2106HV01S1 |
Introduction to Networking, Data communication Cloud Service Models Cloud Deployment Model |
SESSION 2 CC2106HV01S2 |
Virtualization and Cloud Computing Types of Virtualizations Cloud Architecture AWS Google Cloud Platform (GCP) Microsoft Azure |
SESSION 3 CC2106HV01S3 |
Cloud Platform in Industries Cloud Applications, Service Efficiency and Cloud Security Business and Consumer Applications Basics of Virtualization |
SESSIONS | COURSE TOPICS |
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SESSION 1 CS2106HV01S1 |
What is Cyber Security Need of Cyber Security CIA Triad |
SESSION 2 CS2106HV01S3 |
Cryptography & it Types Symmetric and Asymmetric Cryptography Model Transmission Control Protocol/ Internet Protocol Networks Scanning Implementation of Ceasar Cipher |
SESSION 3 CS2106HVO1S4 |
Playfair Cipher, Hill Cipher Vigenere Cipher, Rail fence Implementation of Data Encryption Standard Exercise |
SESSIONS | COURSE TOPICS |
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SESSION 1 BD2106HV01S1 |
Introduction to Big Data Big Data Tools and Applications Introduction to Hadoop Components of Hadoop Hadoop Ecosystem |
SESSION 2 BD2106HV01S3 |
Hadoop installation on windows User creation Setting hadoop configuration Hadoop architecture |
SESSION 3 BD2106HVO1S4 |
History Demonstration R integration with hadoop Exercise |
SESSIONS | COURSE TOPICS |
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SESSION 1 MRPA2142HV01S1 |
RPA Vs Automation Different types of Bots in RPA RPA and its development Methodology |
SESSION 2 MRPA2142HV01S2 |
Introduction to UI Path Platform Domain Activities Work flow files in UI Path |
SESSION 3 MRPA2142HV01S3 |
UI Automation Activities Import Panel User Events Activities |
SESSION 4 MRPA2142HV01S4 |
App Integration Recording & Scraping Work flow Activities |
SESSION 5 MRPA2142HV01S5 |
Debug, Execute and Generic value Activities Logging in UI Path Best Practices for Developing Projects |
SESSION 6 MRPA2142HV01S6 |
UI Path Orchestrator Over View Working with Jobs in Orchestrator CE Assets and Queues in Orchestrator CE |
SESSION 7 MRPA2142HV01S7 |
Utility of Automation Any where Enterprise Client Bot Creator and Bot Runner Components of Work Bench |
SESSION 8 MRPA2142HV01S8 |
Editing a Recorded Bot Leverage the Work Bench Comments Understanding the Variable Manager & the Variable Command |
SESSION 9 MRPA2142HV01S9 |
Loop Command Understanding Loop Command Using Loop Command |
SESSION 10 MRPA2142HV01S10 |
Using the Recognition Command Using the Image Recognition Command Error Handling Command |
SESSION 11 MRPA2142HV01S11 |
Understanding LOG to File Command If /else Command Using LOG to file Command |
SESSION 12 MRPA2142HV01S12 |
Insert Key Stroke Commands Features of the String Operation Command Terminal Emulator Command |
SESSION 13 MRPA2142HV01S13 |
Understanding Email Commands Using Email Commands String Commands |
SESSION 14 MRPA2142HV01S14 |
Understanding Data Base Commands Using Data Base Commands |
SESSION 15 MRPA2142HV01S15 |
Understanding the Terminal Emulator Get all fields Command |
SESSION 16 MRPA2142HV01S16 |
Using Command Tree & Metabot Designer Understanding the Excel Command Using the Excel Command |
SESSION 17 MRPA2142HV01S17 |
Understanding PDF Command Using the PDF Command Demo |
SESSION 18 MRPA2142HV01S18 |
Understanding the PGP Command Using the PGP Command Understanding the XML Command |
SESSION 19 MRPA2142HV01S19 |
Using the XML Command Demo |
SESSION 20 MRPA2142HV01S20 |
Understanding the Metabot Designer Following Development Best Practices Demo |
Students | Value |
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Industry oriented trainers | |
Constantly updated industry syllabus | |
Unique T model learning model | |
Tailor made curriculum | |
Life time LMS access | |
Students counseling | |
job placement assistance | |
Post training support | |
Certification | |
Online lab assess for practice |
Corporate | Value |
---|---|
Industry oriented trainers | |
Constantly updated industry syllabus | |
Unique T model learning model | |
Tailor made curriculum | |
Continuous assessment | |
Individual LMS access | |
Group performance report | |
LMS access |
Years of Experience: 10+ years of experience in Academics and Research
Ph.D. (Faculty of Mechanical Engineering: Mobile Robot Navigation), Anna University, Chennai, 2017 – Till date
20 BE Projects guided under the area of Robot navigation, Simulation and Optimization.
Total 5 papers published & 10 papers presented in international journals & conferences like Scopus Indexed Journals.
10 PG Level Projects guided under the area of Autonomous Mobile Robot Navigations.
Roles: Placement Cell Coordinator, Admission Coordinator, Course instructor