08/15/2022 - 08/17/2022
10:00 AM - 06:00 PM
Online Virtual Class
USD $1,995.00
09/19/2022 - 09/21/2022
10:00 AM - 06:00 PM
Online Virtual Class
USD $1,995.00
10/11/2022 - 10/13/2022
10:00 AM - 06:00 PM
Online Virtual Class
USD $1,995.00


This course is meant for IT professionals and technical managers who need to understand the fundamentals of Intelligent Automation.




3 days


Outline for Introduction to Intelligent Automation for IT Professionals Training

Every participant in the course receives the book Intelligent Automation: Welcome to the World of Hyperautomation:by Pascal Bornet (Author), Ian Barkin (Author)

Chapter 1. Introduction to Intelligent Automation (IA)

What is Intelligent Automation?

It’s potential to increase organization efficiency

IA as a business imperative

Improving customer experience

Improving employee experience

IA use cases in healthcare

Chapter 2. IA Technologies

Thinking and Learning – big data, machine learning and data visualization

Vision – using computer vision

Language – Natural Language Processing 

chatbot, sentiment analysis and speech analysis

Execution – Low code and Robotic Process Automation (RPA)

Chapter 3. Thinking and Learning

Data Engineering

Data Science

Machine Learning



Decision Trees


Data visualization

Workshop – Ames, Iowa House Price Prediction Using Neural Network

Workshop - Titanic Survivability Prediction using classification

Workshop – Visualization of Machine Learning models

Chapter 4. Computer Vision

Image classification using convolutional neural network (CNN)

Object identification 

Facial recognition

Workshop - Handwritten Digit Recognition. Apply CNN to classify handwritten digit images.

Chapter 5. Natural Language Processing (NLP)



Text comprehension

Document comprehension


Sentiment Analysis

Language translation 

Workshop – Sentiment analysis

Chapter 6. Execution – Low code and Robotic Process Automation (RPA)

Smart workflow

Low Code

Robotic process automation (RPA)

Workshop – Creating a Basic Process in a smart workflow platform (UiPath Studio)

Chapter 7. Succeeding in IA Implementation


management vision and support, 

change management, 


technical limitations, 

costs and efficiency, 


overall complexity of the transformation

IA Transformation Roadmap

Transformation preparation and scaling

Change and Talent management

Chapter 8. Addressing important challenges

Addressing complexity, cost, and the work-intensive aspect of transformations

The enablers emerging

Access to technology for more employees

Convergence of vision, execution, NLP and Thinking and Learning to mimic human behavior

Using automation to accelerate automation