• Home
  • Job Redesign for Managing AI Agents

AI Vibe Coding for C++

Course Information

  • 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.

Course Brochure

Download Course Brochure

Certification

  • Certificate of Achievement from Tertiary Infotech Academy Pte Ltd - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Achievement from Tertiary Infotech Academy Pte Ltd.

Job Redesign for Managing AI Agents

Course Code: C178
AI Vibe Coding Series

40 Review(s) | Add Your Review

Share

What's This Course About

When AI agents start doing real work — drafting, researching, reconciling, responding — the job that changes most is not the agent's, it is your team's. People who used to produce the work now review it, direct it and decide when to overrule it. That is a genuinely different role, and most organisations hand it to staff without redesigning the job, the workload expectations or the performance measures around it.

In this hands-on 1-day course, you will learn to redesign roles for a workforce that supervises AI agents. You will map which tasks move to agents and which stay human, define the oversight each workflow needs, write the escalation rules that tell people when to step in, and rebalance workloads once the routine work has shifted. You will also work through the harder questions: who is accountable when an agent gets it wrong, what supervision looks like at scale, and how to keep judgement sharp when the first draft always arrives finished.

You will leave with redesigned role profiles, an oversight and escalation model, and a skills plan for moving your team from doing the work to directing it — the practical groundwork for adopting agents without hollowing out capability. Ideal for HR and L&D professionals, team leaders, operations managers and transformation leads planning for an agent-assisted workforce.

Funding Options

No funding is available for this course

For WSQ funding, please checkout the details at WSQ - Agentic AI for HR

Course Fee

$350.00 (GST-exclusive)
$381.50 (GST-inclusive)

Course Date

Course Time

* Required Fields

Additional Note

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

Post-Course Support

  • 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.

Cancellation & Reschedule Policy

  • 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

Course Details

What You'll Learn

Topic 1 How AI Agents Change the Job

  • What AI agents can and cannot take over
  • From producing work to directing and reviewing it
  • Roles most and least affected by agent adoption
  • Case examples of agent-assisted teams

Topic 2 Splitting Work Between People and Agents

  • Task-level analysis of existing roles
  • Deciding what to delegate to an agent
  • Rebalancing workloads after the routine work shifts
  • Writing the redesigned role profile

Topic 3 Oversight, Escalation and Accountability

  • Designing review and approval checkpoints
  • Escalation rules: when a human must step in
  • Accountability when an agent gets it wrong
  • Supervising agents at scale without rubber-stamping

Topic 4 Skills, Performance and Transition

  • New skills for agent supervisors
  • Keeping human judgement sharp
  • Performance measures for agent-assisted roles
  • Communicating the change and planning the transition

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:

Hardware: Windows and Mac Laptops

Job Roles

Job Roles

  • C++ Developer
  • Software Engineer
  • Game Developer (using C++)
  • Embedded Systems Developer
  • High-Performance Computing Specialist
  • Systems Programmer
  • Algorithm Developer (using C++)
  • Application Developer (C++ focus)
  • Backend Developer (using C++)
  • Robotics Software Engineer
  • Financial Quantitative Developer
  • 3D Graphics Programmer (using C++)
  • Real-time Systems Engineer
  • Simulation Developer
  • Firmware Engineer.

Trainers

Trainers

Teh Siew Yee is an experienced adult educator and corporate trainer specializing in business communication, workplace effectiveness, and professional development. With years of experience across both corporate and training environments, she has helped learners enhance their skills in problem-solving, collaboration, and interpersonal communication. Her ability to translate complex concepts into clear, practical strategies ensures that participants can immediately apply their learning in the workplace. As an ACLP-certified trainer, Siew Yee delivers WSQ courses with a strong focus on learner engagement and workplace application. She integrates case studies, role-plays, and reflective exercises into her sessions, ensuring participants develop not only knowledge but also confidence in real-world contexts. By combining her corporate experience with adult education expertise, she empowers learners to improve workplace efficiency, strengthen teamwork, and achieve personal and organizational success.
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 (40)

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
. (Posted on 1/23/2021)
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
Need to set separate class for more in depth learning (Posted on 1/23/2021)
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
. (Posted on 11/22/2020)
I can’t but happy 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
Good trainer (Posted on 11/4/2020)
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
Please keep it short and simple (Posted on 10/25/2020)

Items 21 to 25 of 40 total

per page
Page:
  1. 1
  2. ...
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8

Write Your Own Review

You're reviewing: Job Redesign for Managing AI Agents

How do you rate this product? *

  1 star 2 stars 3 stars 4 stars 5 stars
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