Advanced RPA Development & AI-Powered Intelligent Automation
Executive Overview
The Advanced RPA Development & AI-Powered Intelligent Automation course is a 5-day enterprise-grade training designed for professionals aiming to master next-generation automation capabilities. This program goes beyond traditional Robotic Process Automation (RPA) by integrating Artificial Intelligence (AI), Natural Language Processing (NLP), Optical Character Recognition (OCR), and Machine Learning (ML) into automation workflows. Participants will gain hands-on experience with advanced bot orchestration, intelligent document processing (IDP), and predictive automation models using tools like UiPath AI Center, Automation Anywhere IQ Bot, and Blue Prism Decipher. By the end of the program, attendees will be equipped to build and deploy cognitive bots capable of handling complex, data-driven, and unstructured business scenarios.
Objectives of the Training
- Learn advanced RPA architecture, bot orchestration, and scaling techniques.
- Design cognitive bots integrating AI, ML, OCR, and NLP capabilities.
- Implement Intelligent Document Processing (IDP) and AI-based data extraction.
- Build and train machine learning models within RPA workflows.
- Learn to deploy, monitor, and optimize intelligent bots in production.
- Understand the convergence of RPA, AI, and analytics in enterprise automation.
Prerequisites
- Completion of foundational RPA training or equivalent practical experience.
- Familiarity with UiPath, Automation Anywhere, or Blue Prism environments.
- Basic understanding of APIs, databases, and machine learning concepts.
- Intermediate knowledge of business processes and workflow management.
What You Will Learn
- Cognitive RPA concepts and the integration of AI into automation.
- Building intelligent bots using NLP, OCR, and computer vision.
- Developing predictive automation using ML models and RPA orchestration tools.
- Intelligent Document Processing (IDP) for invoices, forms, and contracts.
- End-to-end deployment of scalable RPA solutions integrated with AI services.
- Implementing monitoring, exception handling, and feedback loops for self-learning automation.
Target Audience
This course is ideal for RPA Developers, Automation Engineers, AI Engineers, and Solution Architects. It is also beneficial for Digital Transformation Leads and IT Managers seeking to implement intelligent automation across business units.
Detailed 5-Day Curriculum
Day 1 – Cognitive RPA Foundations & Intelligent Automation Overview (6 Hours)
- Session 1: Understanding Cognitive RPA – Evolution from Traditional Automation to AI-Driven Automation.
- Session 2: Intelligent Automation Architecture – Components and Integration Layers.
- Session 3: Introduction to NLP, OCR, and ML for RPA Developers.
- Hands-on: Configuring Cognitive Services APIs for RPA Platforms.
Day 2 – Advanced Bot Development & Orchestration (6 Hours)
- Session 1: Orchestrating Complex Workflows using UiPath Orchestrator and Automation Anywhere Control Room.
- Session 2: Designing Reusable and Modular Bot Components.
- Session 3: Implementing Error Handling, Logging, and Exception Management.
- Workshop: Building an Advanced Multistage Bot Workflow with Trigger-Based Execution.
Day 3 – Intelligent Document Processing (IDP) & AI Model Integration (6 Hours)
- Session 1: Document Understanding using OCR Engines (Tesseract, ABBYY, and Azure Form Recognizer).
- Session 2: Automating Document Classification and Data Extraction using ML Models.
- Session 3: Integrating IDP Solutions with RPA Workflows (UiPath AI Center / IQ Bot).
- Hands-on: Building an IDP Workflow for Invoice or Claims Processing.
Day 4 – NLP, Predictive Automation & Chatbot Integration (6 Hours)
- Session 1: Natural Language Processing (NLP) for Automation – Sentiment Analysis, Text Mining, and Intent Recognition.
- Session 2: Integrating ChatGPT or Dialogflow Bots with RPA for Conversational Automation.
- Session 3: Predictive Decision-Making using Machine Learning and AI APIs.
- Workshop: Designing a Conversational RPA Assistant for Enterprise Support.
Day 5 – Deployment, Monitoring & Capstone Project (6 Hours)
- Session 1: RPA Deployment Strategies in Hybrid and Cloud Environments.
- Session 2: Monitoring and Scaling Cognitive Bots using Control Room and Analytics Dashboards.
- Session 3: Capstone Project – Building and Deploying an AI-Powered Automation Workflow.
- Panel Discussion: The Future of Hyperautomation and AI-Driven Enterprises.
Capstone Project
Participants will design, build, and deploy a fully functional AI-integrated RPA solution. The project will involve intelligent document processing, NLP-based decision-making, and automation orchestration using UiPath or Automation Anywhere. This hands-on exercise will demonstrate participants’ ability to create intelligent, scalable automation solutions aligned with enterprise digital transformation goals.
Future Trends in AI-Powered Intelligent Automation
The next evolution of automation lies in Hyperautomation — the convergence of RPA, AI, process mining, and analytics. With generative AI, LLMs, and adaptive learning models, bots are evolving from simple task executors to decision-making digital coworkers. Future enterprises will deploy AI-infused bots capable of self-learning, predictive process optimization, and cross-platform orchestration. Professionals skilled in Cognitive RPA and AI integration will lead the next wave of automation-driven innovation in the global enterprise landscape.
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