Course Detail()

7.00 CPE Hours (Category 1, Category 2, Category 3, Category 4, Others)
Classroom

Please be informed that in view of the current COVID-19 situation, we will be changing the format of this course into a Live Webinar. A detailed set of instructions on the Live Webinar will also be sent to you closer to date. Please sign up for a Zoom account (https://zoom.us/) if you currently do not have an account. 

Programme Objective

This course is intended to give participants an introduction to Artificial Intelligence and Machine Learning, with an eye towards utilizing this knowledge to better evaluate the potential of Robotic Process Automation to optimise organisational efficiency.

Programme Outline

Overview

  • Goals of the Course

Introduction to Artificial Intelligence and Machine Learning

  • Automation vs Artificial Intelligence (AI) vs Machine Learning (ML)
  • Hands on: Are You Smarter Than Paper?
  • Hands on: Quickdraw
  • Image Processing, Natural Language Processing, Reinforcement Learning
  • AI History & Recent Examples


How Machines Learn

  • Supervised Learning
  • Classification Examples
  • Hands on: Neural Networks
  • Prediction Models
  • Image Classification
  • Unsupervised Learning


AI applications

  • Domains: Agriculture, Cultural Preservation, etc.
  • Apps: Seeing AI, Sketch2Code, etc.


RPA

  • What is RPA
    • Definition
    • Pros and Cons
    • RPA Tools / Vendors
  • Processes suitable for RPA
    • Criteria/Guideline
    • Limitations/Challenges
    • Activity/Exercise
  • Benefits of RPA
    • Opportunity
    • Areas for RPA
  • RPA vs Traditional Automation
    • Process driven
    • Data driven
  •  Different Types of RPA
    • Skills
    • Checklist
  • RPA Use Cases
    • Discussion & Examples
    • Application Scenarios
    • Cost
    • Implementing
    • RPA in Accounting/Finance
  • Walk Through RPA Demo
  • Future of RPA


Training Methodology

Our curriculum is designed by trained MOE teachers with classroom teaching experience, who are also programmers with experience developing apps for startups and MNCs. We aim to adapt the best teaching materials available from all over the world, while supplementing them with best practices from our industry experience, to create the most effective courses for learners of all levels. In our classes, learners will be carefully guided through the basic concepts, before being challenged to apply these concepts. For these courses, it helps that our teachers possess a wealth of experience teaching, and many more hours of hands-on experience. 

Closing Date for Registration

1 week before programme or until full enrolment

Intended For

(Foundation level)  

  • Professionals looking to learn more about Robotic Process Automation (RPA) with an eye towards future adoption.
  • Professionals looking to become conversationally fluent in discussing Artificial Intelligence and Machine Learning workflow and applications.

Schedule & Fees

Testimonial

Funding

No funding Available!

Programme Facilitator(s)

Please be informed that in view of the current COVID-19 situation, we will be changing the format of this course into a Live Webinar. A detailed set of instructions on the Live Webinar will also be sent to you closer to date. Please sign up for a Zoom account (https://zoom.us/) if you currently do not have an account. 

Programme Objective

This course is intended to give participants an introduction to Artificial Intelligence and Machine Learning, with an eye towards utilizing this knowledge to better evaluate the potential of Robotic Process Automation to optimise organisational efficiency.

Programme Outline

Overview

  • Goals of the Course

Introduction to Artificial Intelligence and Machine Learning

  • Automation vs Artificial Intelligence (AI) vs Machine Learning (ML)
  • Hands on: Are You Smarter Than Paper?
  • Hands on: Quickdraw
  • Image Processing, Natural Language Processing, Reinforcement Learning
  • AI History & Recent Examples


How Machines Learn

  • Supervised Learning
  • Classification Examples
  • Hands on: Neural Networks
  • Prediction Models
  • Image Classification
  • Unsupervised Learning


AI applications

  • Domains: Agriculture, Cultural Preservation, etc.
  • Apps: Seeing AI, Sketch2Code, etc.


RPA

  • What is RPA
    • Definition
    • Pros and Cons
    • RPA Tools / Vendors
  • Processes suitable for RPA
    • Criteria/Guideline
    • Limitations/Challenges
    • Activity/Exercise
  • Benefits of RPA
    • Opportunity
    • Areas for RPA
  • RPA vs Traditional Automation
    • Process driven
    • Data driven
  •  Different Types of RPA
    • Skills
    • Checklist
  • RPA Use Cases
    • Discussion & Examples
    • Application Scenarios
    • Cost
    • Implementing
    • RPA in Accounting/Finance
  • Walk Through RPA Demo
  • Future of RPA


Training Methodology

Our curriculum is designed by trained MOE teachers with classroom teaching experience, who are also programmers with experience developing apps for startups and MNCs. We aim to adapt the best teaching materials available from all over the world, while supplementing them with best practices from our industry experience, to create the most effective courses for learners of all levels. In our classes, learners will be carefully guided through the basic concepts, before being challenged to apply these concepts. For these courses, it helps that our teachers possess a wealth of experience teaching, and many more hours of hands-on experience. 

Closing Date for Registration

1 week before programme or until full enrolment

Intended For

(Foundation level)  

  • Professionals looking to learn more about Robotic Process Automation (RPA) with an eye towards future adoption.
  • Professionals looking to become conversationally fluent in discussing Artificial Intelligence and Machine Learning workflow and applications.

Programme Facilitator(s)


No course instances or course instance sessions available.