Career Path - Robotics Process Automation (RPA) Developer
Automate Business Processes with UiPath, Automation Anywhere & Power Automate – Build Bots, Streamline Workflows, and Drive EfficiencyPreview Career Path - Robotics Process Automation (RPA) Developer course
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Understand RPA fundamentals, benefits, and architecture
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Identify and analyze business processes suitable for automation
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Design and build bots using UiPath, Automation Anywhere, and Power Automate
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Perform desktop and web automation including Excel, PDFs, emails, SAP, and browsers
-
Handle exceptions, triggers, and data-driven automation
-
Integrate OCR, AI/ML services, and REST APIs into bots
-
Deploy and manage bots using orchestrators or control rooms
-
Implement security, logging, and audit practices in RPA environments
-
Use process mining to identify high-value automation opportunities
-
Prepare for RPA certifications and real-world implementation projects
-
Build a portfolio of bots to showcase your automation expertise
Course/Topic 1 - Course access through Google Drive
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Google Drive
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Google Drive
Course/Topic 2 - Python Programming - all lectures
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In this lecture session we learn about introduction to python programming for beginners and also talk about features of python programming.
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In this lecture session we learn about basic elements of python in python programming and also talk about features of elements of python.
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In this lecture session we learn about installation of python in your system and also talk about the best way of installation of python for beginners.
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In this lecture session we learn about input and output statements in python programming and also talk about features of input and output statements.
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In this lecture session we learn about data types in python programming and also talk about all the data types in python programming.
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In this lecture session we learn about operators in python and also talk about how we use operators in python programming.
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In this lecture session we learn about different types of operators in python programming and also talk about features of operators in python.
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In this lecture session we learn about type conversion in python programming and also talk about features of type conversion in python.
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In this lecture session we learn about basic programming in python programming for beginners.
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In this lecture session we learn about features of basic programming in python and also talk about the importance of programming in python.
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In this lecture session we learn about math modules in python programming and also talk about features of math modules in python.
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In this lecture session we learn about conditional statements in python and also talk about conditional statements in python programming.
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In this lecture session we talk about basic examples of conditional statements in python.
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In this lecture session we learn about greater and less then conditional statements in python programming.
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In this lecture session we learn about nested IF Else statements and also talk about features of nested IF else statements.
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In this lecture session we learn about looping in python in programming for beginners and also talk about looping in python.
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In this lecture session we learn about break and continue keywords and also talk about features of break continue keywords.
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In this lecture session we learn about prime number programs in python and also talk about functions of prime number programs in python.
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In this lecture session we learn about while loop in python programming and also talk about features of while loop in python.
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In this lecture session we learn about nested For loop in python programming and also talk about features of nested For loop.
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In this lecture session we learn about features of nested for loop in python and also talk about the importance of nested For loop in python.
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In this lecture session we learn about functions in python and also talk about different types of functions in pythons.
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In this lecture session we learn about passing arguments to functions in python programming and also talk about features of passing arguments to functions
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In this lecture session we learn about return keywords in python and also talk about features of return keywords in python.
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In this lecture session we learn about calling a function in python programming and also talk about calling a function.
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In this lecture session we learn about factors of calling a function in python programming and also talk about features of calling a function.
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In this lecture session we learn about a program to swap 2 numbers using calling a function in python programming.
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In this lecture session we learn about functions of arbitrary arguments in python programming and also talk about features of arbitrary arguments.
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In this lecture session we learn about functions keywords arguments in python programming and also talk about features of keyword arguments.
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In this lecture session we learn about functions default arguments in python programming and also talk about features of default argument.
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In this lecture session we learn about global and local variables in python programming and also talk about features of global and local variables.
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In this lecture session we learn about global and local keywords and also talk about features of global and local keywords.
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In this lecture session we learn about strings in python programming and also talk about features of string in python.
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In this lecture session we learn about string methods in python programming and also talk about features of string methods in python.
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In this lecture session we learn about string functions in python and also talk about features of strings functions in python.
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In this lecture session we learn about string indexing in python programming and also talk about features of string indexing in python programming.
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In this lecture session we learn about introduction of lists in python programming and also talk about features of introduction to lists.
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In this lecture session we learn about basics of lists python programming and also talk about features of basics of lists in python.
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In this lecture session we learn about list methods and also talk about features of list method python programming.
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In this lecture session we learn about linear search on list and also talk about features of linear search on list in brief.
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In this lecture session we learn about the biggest and smallest number of the list and also talk about features of MAX and Min in a list.
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In this lecture session we learn about the difference between 2 lists in python programming and also talk about features of 2 lists.
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In this lecture session we learn about tuples in python programming and also talk about tuples in python programming.
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In this lecture session we learn about introduction to sets in python and also talk about functions of introduction to sets in python.
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In this lecture session we learn about set operations in python programming and also talk about features of set operation in brief.
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In this lecture session we learn about set examples and also talk about features set examples.
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In this lecture session we learn about introduction to dictionaries in python programming and also talk about featured dictionaries.
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In this lecture session we learn about creating and updating dictionaries in python programming and also talk about features of creating and updating dictionaries.
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In this lecture session we learn about deleting items in a dictionary in python programming and also talk about features of deleting items in a dictionary.
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In this lecture session we learn about values and items in a dictionary in python programming and also talk about features of values and items in the dictionary.
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In this lecture session we learn about dictionary methods in python programming and also talk about features of dictionary methods.
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In this lecture session we learn about built in methods in python programming and also talk about features of built in methods in python.
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In this lecture session we learn about lambda functions and also talk about features of lambda function in python programming.
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In this lecture session we learn about file handling in python programming and also also talk about the importance of file handling in python.
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In this lecture session we learn about file handling in python programming and also talk about features of file handling in python.
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In this lecture session we learn about exception handling in python and also talk about features of exception handling in python.
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In this lecture session we learn about exception handling examples in python programming.
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In this lecture session we learn about python programs in python programming and also talk about features of python programs
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In this lecture session we learn about the program of printing odd numbers in python programming and also talk about the best way of printing.
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In this lecture session we learn about counting the number of vowels and consonants in a string and also talk about features of these programs.
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In this lecture session we learn about python programs of swapping two numbers in a list by taking indexes as parameters.
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In this lecture session we learn about bubble sort and also talk about features of bubble sort in brief.
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In this lecture session we learn about operator precedence in python and also talk about features of operator precedence in python.
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In this lecture session we learn about operator precedence in python and also talk about features of operator precedence types.
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In this lecture session we learn about recursion in python and also talk about features of recursion in python.
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In this lecture session we learn about binary search in python and also talk about features of binary search in python programming.
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In this lecture session we learn about binary search in python and also talk about the importance of binary search in python.
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In this lecture session we learn about object oriented programming and also talk about features of object oriented programming in brief.
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In this lecture session we learn about factors and types of object oriented programming in python programming.
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In this lecture session we learn about OOPS and procedural programming and also talk about features of OOPS and procedural programming in OOPS.
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In this lecture session we learn about OOPS programs in python and also talk about the importance of OOPS.
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In this lecture session we learn about inheritance in python programming and also talk about features of inheritance.
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In these lecture sessions we learn about features of object creation in python programming and also talk about object creation in python.
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In this lecture session we learn about OOPS terminology and functions and also talk about features of OOPS terminology and functions.
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In this lecture session we learn about built in class attributes and garbage collection in python programming.
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In this lecture session we learn about inheritance in python and also talk about features of inheritance in python.
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In this lecture session we learn about the importance of inheritance in python programming and also talk about functions of inheritance.
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In this lecture session we learn about programs in inheritance in python programming and also talk about features of inheritance in python.
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In this lecture session we learn about polymorphism in python programming polymorphism and also talk about polymorphism in python.
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In this lecture session we learn about features of polymorphism in python and also talk about the importance of polymorphism in python.
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In this lecture session we learn about the time module in python and also talk about features time module in python in features.
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In this lecture session we learn about the importance of time modules in python time module in python in brief.
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In this lecture session we learn about the calendar module in python programming in brief.
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In these lecture sessions we learn about calendar methods in python programming and also talk about the importance of calendar methods.
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Class 28.1 - Boolean in Python
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In this lecture session we learn about python iterators and also talk about features of python iterators in brief.
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In this lecture session we learn about python programs and summary in python programming and also talk about python programs.
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In this lecture sessions we learn about python programs and also talk about features of python programs and summary.
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Understand RPA fundamentals, benefits, and architecture
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Identify and analyze business processes suitable for automation
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Design and build bots using UiPath, Automation Anywhere, and Power Automate
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Perform desktop and web automation including Excel, PDFs, emails, SAP, and browsers
-
Handle exceptions, triggers, and data-driven automation
-
Integrate OCR, AI/ML services, and REST APIs into bots
-
Deploy and manage bots using orchestrators or control rooms
-
Implement security, logging, and audit practices in RPA environments
-
Use process mining to identify high-value automation opportunities
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Prepare for RPA certifications and real-world implementation projects
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Build a portfolio of bots to showcase your automation expertise
Course Syllabus – RPA Developer
Module 1: Introduction to RPA
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What is Robotic Process Automation?
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Business Benefits and Use Cases of RPA
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History and Evolution of RPA
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RPA Tools Overview: UiPath, Automation Anywhere, Power Automate
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RPA vs. Traditional Automation vs. AI
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Understanding Attended vs. Unattended Bots
Module 2: RPA Architecture & Project Lifecycle
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RPA Components: Bot, Orchestrator, Studio, Control Room
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Bot Deployment Models and Scalability
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Stages of an RPA Project
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Identifying Automation Candidates
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RPA in Enterprise IT Architecture
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Governance, Risk, and Compliance in RPA Projects
Module 3: UiPath Foundation
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Installing and Navigating UiPath Studio
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Activities, Variables, and Control Flow
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Recording, Screen Scraping, and Data Extraction
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Excel and PDF Automation
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Email Automation and Outlook Integration
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Debugging, Logging, and Exception Handling
Module 4: Automation Anywhere Essentials
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Introduction to Automation Anywhere A360
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Web-Based Control Room Overview
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Task Bot Creation and Recorder
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Looping, Conditional Logic, and Variable Usage
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Bot Deployment and Scheduling
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Integration with Excel, Email, Web Apps
Module 5: Microsoft Power Automate (Desktop & Cloud)
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Introduction to Power Platform and Power Automate
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Cloud Flows vs. Desktop Flows
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Automating Office 365 and SharePoint Tasks
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Excel, Forms, and OneDrive Automation
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Triggers, Conditions, and Approval Workflows
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RPA Connectors and Data Gateway Integration
Module 6: Advanced Automation Techniques
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Dynamic Selectors and UI Automation Strategies
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DataTables and Queue-Based Processing
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Error Handling, Retry Scopes, and Logging
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Working with Citrix/Remote Apps
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Email Triggers and Event-Driven Bots
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Automating SAP, CRMs, and Legacy Systems
Module 7: Intelligent Automation & AI Integration
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Introduction to AI and Cognitive Automation
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Using OCR (Tesseract, Google Vision, Abbyy, Microsoft OCR)
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Intelligent Document Processing (IDP)
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NLP, Sentiment Analysis, and Chatbot Integration
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AI Center (UiPath), Azure AI Builder, and ML Models
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Decision Automation and Predictive Logic
Module 8: APIs, Web Services, and Integrations
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Introduction to REST & SOAP APIs
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API Authentication Methods
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Sending HTTP Requests in UiPath and Power Automate
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Consuming JSON/XML Responses
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Integrating Bots with External Systems and Databases
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Webhooks and Event-Based Automation
Module 9: Orchestration and Bot Management
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UiPath Orchestrator Fundamentals
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Automation Anywhere Control Room Management
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Bot Scheduling, Queues, and Asset Management
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Version Control and Deployment Best Practices
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Role-Based Access Control and Licensing
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Monitoring, Alerts, and Dashboard Analytics
Module 10: Process Mining and Optimization
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Introduction to Process Mining & Task Mining
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Tools Overview: Celonis, UiPath Process Mining, Power BI
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Identifying Automation Opportunities
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Building Automation Pipelines from Insights
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Continuous Process Improvement
Module 11: RPA in Cloud & Enterprise Environments
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RPA as SaaS vs. On-Prem vs. Hybrid
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Using Bots in Azure, AWS, and Google Cloud
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Compliance Considerations in Cloud RPA
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Case Studies: RPA in Finance, Healthcare, Retail
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DevOps for RPA: Pipelines, Deployment, and Automation
Certification Back to Top
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RPA Developer
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Automation Engineer
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RPA Consultant
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Citizen Developer / Business Automation Specialist
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Hyperautomation Analyst
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Process Automation Lead
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UiPath / Automation Anywhere Developer
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Microsoft Power Platform Developer
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Intelligent Automation Analyst
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What is RPA?
RPA is a technology that allows software bots to emulate human interactions with digital systems to automate repetitive tasks. -
What’s the difference between attended and unattended bots?
Attended bots require human initiation, while unattended bots run in the background without human intervention. -
Which processes are best suited for RPA?
Repetitive, rule-based, high-volume processes like data entry, invoice processing, and email handling. -
What is UiPath Studio?
An IDE used to design RPA workflows in UiPath using drag-and-drop activities and visual programming. -
How does RPA handle exceptions?
Through try-catch blocks, logging, email alerts, and exception handling logic to recover from errors. -
Can RPA work with SAP or legacy systems?
Yes, using screen scraping, API integration, and desktop automation. -
What is an orchestrator or control room?
A centralized platform to deploy, schedule, monitor, and manage bots at scale. -
What is the role of selectors in UiPath?
Selectors identify UI elements for automation; they are critical for stable, accurate interaction. -
Can RPA be integrated with AI or machine learning?
Yes, using services like Azure AI, Google Vision, or UiPath AI Center to build intelligent bots. -
What are common RPA tools?
UiPath, Automation Anywhere, Microsoft Power Automate, Blue Prism, WorkFusion.