UiPath Installation:
To optimize the learning experience, all participants are required to be equipped with a laptop, pre-installed with UiPath software.
Programme Objective


This course is intended to introduce participants to Artificial Intelligence, Machine Learning, and Robotic Process Automation. Multiple hands on activities will be used to highlight different machine learning applications, such as computer vision and neural networks. We will discuss how accountants will be affected through the many varied applications of these new technologies, and how they are already impacting workplaces today.

Programme Outline

Day 1:
Overview

• Goals of the Course

Introduction to Artificial Intelligence (AI) and Machine Learning (ML)

• Automation vs AI vs 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.

Hands on with Azure Machine Learning

• Basics of Azure Machine Learning

• Creating an Experiment
• Training and Evaluating Models
• Training Experiments vs Predictive Experiments
• Deploying Predictive Experiments

• Predictive analytics applications:

• Activity: HDB Pricing
• Activity: Customer Segmentation
• Activity: Credit Risk Assessment (Credit Risk Classification of Customers, or Corporate Credit Risk Prediction)

AI/ML with Robotic Process Automation (RPA)

• What is RPA?
• Where does AI/ML fit in RPA?
• Looking ahead

Day 2
Overview

• Goals of the Course

Introduction to Robotics Process Automation (RPA)

• What is RPA
• Definition
• Pros and Cons
• RPA Tools / Vendors          
• Activity to Understand and Introduce RPA
• RPA vs Traditional Automation

• Process driven
• Data Driven        

RPA Applications

• Processes suitable for RPA

• Criteria/Guidelines
• Limitations/Challenges
• Activities/Exercises       

• Benefits of RPA

• Opportunity
• Areas for RPA    

• RPA Hands-On Activities and Demo

• Creating first RPA Bot
• Automate Invoice, Processing, or Reports
• Extract, Merge or Reconcile Information via RPA    

• Evaluating RPA

• Workflows
• Processes

• Different Types of RPA

• Skills
• Checklist 

• RPA Use Cases

• Discussion & Examples

• Application Scenarios
• Cost
• Implementing
• RPA in Accounting/Finance           

RPA in the Future

• Future Advancements and Applications of RPA 

 

Programme	2022 Dates
DGT047Av: Artificial Intelligence and Machine Learning (Live Webinar) (1-DAY)  Level: Foundation	14 Feb 2022 8 Jul 2022 29 Nov 2022 Please click here to find out more.
DGT047Bv: Robotics Process Automation Learning (Live Webinar) (1-DAY) Level: Intermediate	4 Mar 2022 5 Aug 2022 30 Nov 2022 Please click here to find out more.
DGT047Cv: Artificial Intelligence and Machine Learning (Live Webinar) (2-DAY) Level: Foundation to Intermediate	14 Feb & 4 Mar 2022 8 Jul & 5 Aug 2022 29 & 30 Nov 2022 Please click here to find out more.

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

• Professionals looking to become conversationally fluent in discussing Artificial Intelligence and Machine Learning workflow and applications.
• Professionals interested in learning how these new technologies will impact the workplace regardless of company domain.
• Professionals looking to learn more about Robotic Process Automation (RPA) with an eye towards future adoption.
• Professionals interested in getting hands-on experience creating their own RPA programs to help automate accounting tasks.

Competency Mapping

Category 5 = 14.00 Hours

Programme Facilitator(s)