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Generative AI for Interviewing

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 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.

Generative AI for Interviewing

Course Code: C169

AI Vibe Coding Series

24 Review(s) | Add Your Review

This course equips HR professionals, hiring managers, and business leaders with practical skills to use Generative AI throughout the interviewing process. Participants will learn how to define interview objectives, analyse job requirements, develop structured interview plans, and generate relevant behavioural, situational, competency-based, and technical questions for different roles and seniority levels.

Learners will use Generative AI to tailor questions to job competencies, create consistent evaluation criteria, develop scoring rubrics, and generate appropriate follow-up questions based on candidate responses. The course also strengthens essential human interviewing skills, including active listening, probing, note-taking, response evaluation, and the delivery of constructive feedback.

Participants will explore how Generative AI can assist in summarising interview notes, comparing candidates against defined job-related criteria, identifying information gaps, and preparing evidence-based hiring recommendations. Emphasis is placed on maintaining human oversight and ensuring that AI-generated outputs are accurate, relevant, and free from inappropriate assumptions.

The course also addresses responsible interviewing practices, including fairness, inclusion, candidate privacy, data protection, bias awareness, and compliance with organisational hiring policies. By the end of the course, participants will be able to apply Generative AI to conduct more structured and consistent interviews, improve candidate evaluation, and support fair, informed, and defensible hiring decisions.

No funding is available for this course

For WSQ funding, please checkout the details at WSQ - Learn C++ Fundamentals with AI Assisted Tools and Vibe Coding

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 * Course Time

Sponsorship

Self-Sponsored
Employer-Sponsored

No. of Participants

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: Responsible Interview Planning and Preparation with Generative AI

Topic 2: Creating Structured and Role-Specific Interview Questions with Generative AI

Topic 3: Candidate Response Evaluation, Interview Feedback and Hiring Decisions

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: 18-65 years old

Minimum Software/Hardware Requirement

Software:

Download and install Visual Studio Community https://visualstudio.microsoft.com/vs/community/

Hardware: Window or Mac Laptops

Job Roles

C Programmer
Embedded Systems Developer
Systems Engineer
Firmware Developer
Application Developer
Game Developer
Robotics Engineer
IoT Developer
Computer Science Educator
Software Architect
Mobile App Developer
Data Scientist
Machine Learning Engineer
Cybersecurity Analyst

Trainers

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.

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)

Игровой компьютер Review by Course Participant/Trainee: Сборка игрового компьютера своими руками — это возможность получить максимум производительности за свои деньги и подобрать комплектующие именно под свои задачи: от киберспортивных игр до требовательных AAA-проектов, а заодно лучше понять, какие компоненты действительно влияют на FPS и как в будущем проще делать апгрейд системы. А вы предпочитаете собирать игровые ПК самостоятельно или покупаете готовые сборки? Подскажите где лучше брать <a href=https://money.bestbb.ru/viewtopic.php?id=2869#p10090>игровой компьютер</a> (Posted on 3/18/2026)
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