This course is formerly known as DGT047v : Artificial Intelligence, Machine Learning, and Robotic Process Automation (Live Webinar).
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 adopting Robotic Process Automation to optimise organisational efficiency.
Programme Outline
Overview
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
You may consider enrolling for Day 2 of the course upon completion of Day 1 or opt for a 2-day course that covers both foundation and intermediate level of Artificial Intelligence, Machine Learning and Robotic Process Automation (DGT047Cv).
| 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.
Competency Mapping
Category 5 = 7.00 Hours
Schedule & Fees
Date & Time
10 Jul 2023 (9:00 AM - 5:00 PM)
Fee (inclusive of GST)
For Members:
$ 301.32
For Non-Members:
$ 361.80
Programme Facilitator(s)
Mike Gonsalves
Ang Swee Chye
Venue
Online Classroom in or outside of
Singapore
Date & Time
06 Dec 2023 (9:00 AM - 5:00 PM)
Fee (inclusive of GST)
For Members:
$ 301.32
For Non-Members:
$ 361.80
Programme Facilitator(s)
Mike Gonsalves
Ang Swee Chye
Venue
Online Classroom in or outside of
Singapore
Testimonial
Funding
No funding Available!
Programme Facilitator(s)
Mike Gonsalves
Mike spends 45% of his time creating curriculum, 30% teaching classes, and 35% thinking he is really good at statistics. He has taught and developed lesson plans for ages 5 through 50 in topics and tools as diverse as Blockchain, Python, Data Science, Cybersecurity, Raspberry Pi, littleBits, Scratch, and Circuit Stickers. In addition to his teaching experience, Mike has data science experience as an actuarial analyst, computer science experience as a web consultant.
Ang Swee Chye
Swee Chye is a Consultant and Trainer with more than 20 years of experience implementing Enterprise Business Solutions for many Corporations in more than 10 different countries. He has taught WSQ Web Development to working professionals, and currently conducts training in Cyber Security, Robotics, Mobile Apps, Internet of Things, Web Development and Programming.
This course is formerly known as DGT047v : Artificial Intelligence, Machine Learning, and Robotic Process Automation (Live Webinar).
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 adopting Robotic Process Automation to optimise organisational efficiency.
Programme Outline
Overview
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
You may consider enrolling for Day 2 of the course upon completion of Day 1 or opt for a 2-day course that covers both foundation and intermediate level of Artificial Intelligence, Machine Learning and Robotic Process Automation (DGT047Cv).
| 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.
Competency Mapping
Category 5 = 7.00 Hours
Programme Facilitator(s)
Mike Gonsalves
Mike spends 45% of his time creating curriculum, 30% teaching classes, and 35% thinking he is really good at statistics. He has taught and developed lesson plans for ages 5 through 50 in topics and tools as diverse as Blockchain, Python, Data Science, Cybersecurity, Raspberry Pi, littleBits, Scratch, and Circuit Stickers. In addition to his teaching experience, Mike has data science experience as an actuarial analyst, computer science experience as a web consultant.
Ang Swee Chye
Swee Chye is a Consultant and Trainer with more than 20 years of experience implementing Enterprise Business Solutions for many Corporations in more than 10 different countries. He has taught WSQ Web Development to working professionals, and currently conducts training in Cyber Security, Robotics, Mobile Apps, Internet of Things, Web Development and Programming.