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PL-7004 Implement AI models with Microsoft Power Platform AI Builder

Sessions 1 day
Duration 7.5 hrs
Level Beginner
Assessment NA

Venue

12 Woodlands Square #07-85/86/87 Woods Square Tower 1, Singapore 737715. 5 mins walk from Woodlands (NS9) MRT station.

The venue is disabled-friendly.

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Certificate of Completion from Tertiary Courses - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Completion from Tertiary Courses.

PL-7004 Implement AI models with Microsoft Power Platform AI Builder

Course Code: C778

24 Review(s) | Add Your Review

This course provides an in-depth understanding of implementing AI models with Microsoft Power Platform AI Builder. Learn how to automate document processing using AI Builder’s prepackaged solutions, configure and monitor AI models, and streamline business workflows. Gain hands-on experience in developing custom AI models, integrating them into Power Apps and Power Automate, and enhancing efficiency with AI-powered automation.

By the end of this course, you will have the skills to build and deploy AI-driven solutions for text recognition, document processing, and predictive analytics. Whether you are a business analyst, developer, or IT professional, this training will equip you with the knowledge to leverage AI Builder for intelligent decision-making, process optimization, and digital transformation in your organization.

No funding is available.

For WSQ funding, please checkout the details at WSQ – Create Intelligent Power Apps and Automate Workflows with AI Builder and Copilot

Course Fee

$350.00 (GST-exclusive)

$381.50 (GST-inclusive)

Mode of Training *

Physical Classroom Training
Synchronised Teaching using ZOOM
Corporate Training at Company Premise

Course Date * Course Date

Course Time *

Sponsorship

Self-Sponsored
Employer-Sponsored

Additional Message

* Required Fields

Please bring your own laptop for hands-on training. If you don't have laptop, we can provide spare laptop for training use.

We provide free consultation related to the subject matter after the course.
Please email your queries to enquiry@tertiaryinfotech.com and we will forward your queries to the subject matter experts.

You can register your interest without upfront payment. There is no penalty for withdrawal of the course before the class commences.
We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% for any paid amount.
Note the venue of the training is subject to changes due to availability of the classroom.

Course Details

Topic 1 Automate the processing of documents with the AI Builder prepackaged solution

Install the document automation base kit

Configure the document automation base kit

Monitor and review processing documents with the document automation base kit

Topic 2 Process custom documents with AI Builder

Introduction to Document Processing

Create your first model

Use your model

Topic 3 Use AI Builder models in Power Apps

Create a new custom model

Add a prebuilt model component to a model-driven app

Add a prebuilt model component to a canvas app

Add a custom model component to a canvas app

Topic 4 Recognize text with AI Builder

Introduction to AI Builder Text Recognition

Business problems solved with AI Builder Text Recognition

Build a Power Automate flow with AI Builder Text Recognition

Build a Power Apps application that uses AI Builder Text Recognition

Topic 5 Get started with AI Builder prediction

Solve business problems with AI Builder prediction models

Build a prediction model and use it in a model-driven app

Create document process model and email approval with AI Builder and Power Automate

Course Info

Promotion Code

Your will get 10% discount voucher for 2nd course onwards if you write us a Google review.

Minimum Entry Requirement

Knowledge and Skills

Able to operate using computer functions
Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)

Attitude

Positive Learning Attitude
Enthusiastic Learner

Experience

Minimum of 1 year of working experience.

Target Age Group: 21-65 years old

Minimum Software/Hardware Requirement

Software:

You can download and install the following software:

Lora

Hardware: Windows and Mac Laptops

Job Roles

AI Solutions Developer
Power Platform Consultant
Business Intelligence Analyst
Automation Engineer
AI Application Developer
Data Analyst
Microsoft Power Apps Developer
Digital Transformation Specialist
AI/ML Engineer
Workflow Automation Specialist
IT Solutions Architect
AI Implementation Specialist
Power Automate Developer
Business Process Analyst
Intelligent Automation Engineer
AI Integration Consultant
Document Processing Specialist
Power Platform Functional Consultant
Enterprise AI Architect
Low-Code/No-Code Developer

Trainers

Shawn Koh Boon Hiap is a ACTA certified trainer and used to be a specialist trainer in RSAF training specialists and officers. He was also invited by Prime Minister Office on Dec 2019 as guest speaker for Smart Nation event held in Downtown East. Throughout his career in the corporate world, he was also coach and mentor to many others, often relinquishing his leadership to take on more challenging tasks after imparting his knowledge and skillsets to his successors. Shawn is skilled in IoT integrations and development, network administration, system administration, website development, software development, multimedia production, information security, entrepreneurship, corporate leadership and project management. He is a corporate leader and turned as entrepreneur, is the founder of I.O.T. Workz, a Smart Nation ambassador, offering integrated IoT solutions for residential, commercial and industrial. He was a self-learned programmer and won the National Software Competition North Zone Champion in 1990. He developed the first predictive online-data reduction system in 1996 for the Command and Control (C2) Center in RSAF to provide real-time system health monitoring in the data center. He also formed the Ground-Based Radar System team in ST Electronics (InfoSoft) to provide software maintenance for all radar systems in Singapore between 2003 and 2006. He was also the solution architect for multiple generations of Derivatives Clearing Systems, Head of Enterprise Solutions and held a couple of other leadership roles in SGX between 2007 and 2018. Throughout his years of exposure with Technology, he had mastered many different programming languages, acquired electronics troubleshooting skills and earn professional certifications in PMP, Information Security, Linux Administration and many others.

Tan Woei Ming is an accomplished data scientist and AI engineer with over 15 years of experience in artificial intelligence, machine learning, and data-driven innovation. Holding a Master’s in Intelligent Systems from the National University of Singapore (NUS) and a First-Class Honours in Electrical and Electronic Engineering from NTU, he has led AI initiatives in predictive analytics, automation, and process optimization across the semiconductor and manufacturing industries. His expertise lies in translating complex AI technologies into practical business applications, enabling organizations to innovate through data insights and intelligent automation.

Richard Wan is an ACLP-certified lecturer and software consultant with over 40 years of experience in software and hardware development, spanning AI, computer vision, and machine learning. He began his programming career with 8-bit computing in the late 1970s and went on to earn his M.Sc. in Electrical Engineering (Computer Vision) from the University of Wisconsin–Madison. His professional contributions include co-founding multiple high-tech companies, pioneering digital publishing technologies, and leading AI-driven software development in healthcare, defense, and manufacturing. Richard has taught a wide range of technical courses, including machine learning with Scikit-Learn, deep learning with TensorFlow and PyTorch, and computer vision with OpenCV. In predictive analytics, he emphasizes the use of PyTorch for building deep learning models that can forecast trends, detect anomalies, and classify outcomes. His teaching approach blends decades of hands-on development with structured, beginner-friendly instruction, equipping learners with practical skills to transform data into prediction.

Fritz is ACTA-certified, as well as a registered MOE instructor, and a graduate of the 2018 ConsenSys Blockchain Developer Program, with a Bachelor in Electrical and Electronic Engineering (Computer Specialisation) from Nanyang Technological University.
With more than 10 years of experience teaching at a local polytechnic, Fritz is passionate about imparting knowledge to teens, adults, and children. He believes that an education in technology and in how things work is essential for everyone, so that they can harness and invent the technologies of the future. He is excited about exploring anything related to computers and IT, with a keen interest in electronics and native cross-platform mobile app development so that our ubiquitous mobile phones can be conveniently used to control and interact with devices wirelessly and over the Internet.

Ken Yuen is an ACTA-certified adult educator specializing in STEM education, IoT systems, and programming. With a background in electrical and electronics engineering from NTU, he has conducted WSQ and SkillsFuture courses in Arduino, Raspberry Pi, micro:bit, Jetson Nano, and Python. He is also a registered MOE instructor, having taught coding and robotics programs in over 50 schools, equipping students and professionals alike with practical IoT and programming skills. In his IoT courses, Ken focuses on hands-on experimentation with microcontrollers, sensors, and automation systems. His prior experience as a Technical Consultant at Anson Engineering saw him develop IoT-based SCADA and temperature monitoring systems for industrial applications, giving him strong industry insight. By blending educational expertise with technical project experience, Ken ensures learners develop the confidence to build, test, and apply IoT solutions in real-world contexts.

Review

Customer Reviews (24)

Will Recommend Review by Course Participant/Trainee

1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment

Should have provide proper prerequisite information. The description for installing a node-red need to be provided in a link. Should not make this steps as part of course, As this wasted the trainee time. (Posted on 5/19/2019)

Will Recommend Review by Course Participant/Trainee

1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment

Thank you (Posted on 4/17/2019)

Might Recommend Review by Course Participant/Trainee

1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment

The part on node-red was basically not covered practically.

The morning on tx/rx signal using the shield was useful. As for the IOT portion ( programming with Nodered and visualisation was not covered properly. )
For the trainer, even the setup was not properly setup and demo. Using even Raspberry Pi was also not successful.
The class was not told to install nodejs as a requirement. Hence a large portion of the time it was spent on installing the software in the afternoon. In website, no pre-requisite for s/w was mentioned. It was stated as NIL.
We are also not aware that Nodered is the training software. We are only told of only the use of arduino.
It is good that the actual trainer trains us than a replacement trainer as Reza is the content expert. Relaying questions is not a good method of learning. (Posted on 3/4/2019)

Will Recommend Review by Course Participant/Trainee