Intelligent Automation & AI Integration

This 3-day professional course is designed to introduce participants to Intelligent Automation (IA) — the fusion of Robotic Process Automation (RPA), Artificial Intelligence (AI), and analytics. Through hands-on training, participants will explore how to build and integrate intelligent bots that can mimic human decisions, interpret data, and communicate naturally using tools like UiPath, Microsoft Power Automate, OpenAI APIs, ChatGPT, and Pythonbased AI frameworks.

Attendees will learn how to automate business workflows, infuse them with natural language capabilities, extract and interpret unstructured data, and implement AI-enabled decision-making. The course emphasizes real-world use cases and practical application.

Learning Outcomes

By the end of this course, participants will be able to :

Understand the fundamentals of Intelligent Automation and RPA.
Build and deploy automation bots using UiPath.
Integrate AI/NLP features like sentiment analysis and document understanding.
Use tools like OpenAI, Power Automate, and Python in automation workflows.
Design and implement AI-powered decision-making systems.
Apply best practices for automation governance and lifecycle management.

Who Should Take This Course?

This course is ideal for :

Automation engineers and RPA developers.
Data scientists and AI engineers.
IT professionals exploring enterprise automation.
Business analysts looking to optimize workflows with AI.

Pre-requisites

Participants should have:

Familiarity with Excel, web tools, and business workflows.
Some exposure to scripting or programming is beneficial..

Day 1 - Foundations of Intelligent Automation & RPA

Module 1: Introduction to Intelligent Automation
- What is AI? RPA + AI overview.
- Use cases: finance, HR, customer service, operations.

Module 2: Hands-On Robotic Process Automation with UiPath
- Installing UiPath Studio / Using UiPath Cloud.
- Building a simple automation bot: invoice extraction, email handling.

Module 3: Advanced Workflow Automation
- Screen scraping, selectors, and recording.
- Automating Excel tasks and browser-based tasks.

Module 4: Process Design & Best Practices
- Process design documents (PDDs).
- Workflow optimization tips.
- Tools Used: UiPath Studio, Power Automate (demo), Excel, Email clients, Chrome.

Day 2 - AI & NLP Integration

Module 1: AI Concepts & Introduction to NLP
- Supervised vs unsupervised learning.
- What is Natural Language Processing (NLP)?
- Text classification, sentiment analysis, intent detection,

Module 2: Hands-On: Integrating OpenAI/ChatGPT with Automation
- Using OpenAI APIs for intelligent conversations.
- Creating a chatbot assistant that reads documents, summarizes, or answers queries.

Module 3: Document Understanding & Unstructured Data
- OCR tools (Tesseract / UiPath Document Understanding).
- Extracting data from PDFs and images.

Module 4: Hands-On Sentiment & Intent Detection
- Python with Hugging Face or Azure Cognitive Services.
- Automating email classification or feedback analysis.
- Tools Used: OpenAI (ChatGPT), Python (spaCy, Transformers), UiPath AI Center, Azure AI, Postman.

Day 3 - End-to-End AI-Driven Automation

Module 1: Intelligent Bots & Decision Engines
- AI-enabled decision-making.
- Rules engines vs ML-driven choices.
- Use cases: risk scoring, eligibility checks.

Module 2: Hands-On Build an End-to-End Intelligent Process
- Combine UiPath/Power Automate + AI model + API call.
- Example: Read customer request → classify → respond with AI → update CRM

Module 3: CI/CD & Governance for IA
- Managing automation lifecycle.
- Deployment pipelines for automation.
- Ethical AI & data privacy principles.
- Tools Used: UiPath AI Center, Power Automate, Python, OpenAI API, REST APIs, OCR tools, GitHub

Upon successfully passing the examination for this course, participants will be awarded a certificate, an example of which is shown below.

Intelligent Automation & AI Integration – Automate Smarter with AI Technologies