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AI Vibe Coding with C

Course Information

  • Sessions 1 day
  • Duration 7.5 hrs
  • Level Beginner
  • Assessment NA

Venue

Course Brochure

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Certification

  • 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.

Generative AI for Interviewing

Course Code: C169
AI Vibe Coding Series

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What's This Course About

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.

Why Take This Course?

  • Hands-On Learning Learn by doing. Every topic is practised hands-on, so you leave with skills you can use at work straight away.
  • Live Coaching Experienced instructors coach you live, answer your questions and guide you step by step.
  • Free Post-Course Consultation Stuck after class? Message your trainer any time for guidance as you apply what you have learned.
  • Always-Updated Materials Materials are refreshed to stay relevant. Log in to our LMS any time to get the latest version.

Course Fee

₵1,500.00

Course Date

Course Time

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 info@tertiarycourses.com.gh and we will forward your queries to the subject matter experts and get back to you as soon as possible.

Cancellation & Reschedule Policy

  • We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% to participants.
  • Note: the venue of the training is subject to changes due to class size and availability of the classroom. The minimum class size to start a class is 3 Pax.

Course Details

Course Details

What You'll Learn

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

Prerequisite

Basic computer and file-management skills are expected. Familiarity with basic computer use and programming concepts will help you follow the exercises.

Software Requirement

Install and test the listed software before class. Confirm the required version and account or licence access in your joining instructions. Cloud and AI services may charge subscription or usage fees.

Also prepare the tools needed for the practical exercises:

Confirm the version, account permissions and any API usage budget with the trainer before class.

Hardware Requirement

Bring a Windows or Mac laptop supported by the listed software, with a working keyboard and sufficient storage for course exercises.

Bring your own computer and charger, with a reliable internet connection and permission to install the required software. For live online classes, also prepare a microphone or headset.

If you need help arranging a suitable device, contact us before the class to confirm availability.

Job Roles

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

Trainers

Dr. Muhammed Siraj is a cybersecurity specialist and academic with 15 years of experience, serving as Senior Lecturer in the Department of Informatics and Director of Graduate and Continuous Education at Academic City University in Accra. He holds a PhD in Security in Computing from Universiti Putra Malaysia, where his research focused on blockchain security, an MSc in Information and Communication Technology from Aalborg University in Denmark, and a degree from the University of Ghana. He is a licensed independent assessor with Ghana's Cyber Security Authority, holds leadership roles in national cybersecurity and privacy professional bodies, and is certified as a Certified Ethical Hacker (CEH), Computer Hacking Forensic Investigator (CHFI) and Certified Data Protection Supervisor (CDPS). Before joining Academic City, he served as Acting Director of ICT and Data Protection Supervisor at Wisconsin International University College. His expertise spans penetration testing, digital forensics, incident response, malware analysis, cryptography, cloud and IoT security, zero trust architecture, cyber threat intelligence, data protection, and governance, risk and compliance.

Dr. Siraj's research interests cover blockchain, cybersecurity, distributed computing, consensus protocols and machine learning, with published work on blockchain consensus security, smart-contract privacy preservation for sensitive records in the cloud, and new consensus mechanisms. This background gives him a distinctive perspective on artificial intelligence: as organisations adopt AI tools, agents and data-driven automation, he helps learners understand how to protect the data these systems depend on, recognise new attack surfaces, and put sound governance, privacy and access controls in place so that AI can be used safely and responsibly. In the classroom he connects technical practice with regulation, privacy and human factors, drawing on real-world security and data-protection cases to show how concepts apply in professional settings, and his experiential, hands-on teaching style has made him a trusted trainer for students and working professionals alike.

C remains the language closest to the hardware, and Dr. Alfred Ang's work regularly reaches down to that level even when the finished product is written in something friendlier. Dr. Ang is a full-stack AI developer, Agentic AI solution architect and corporate trainer, and the CTO of Tertiary Infotech Academy Pte Ltd in Singapore, the training organisation behind Tertiary Courses. The role runs from front end and back end to databases, cloud deployment and native mobile apps, and more than 300 public repositories on GitHub document it. The projects nearest to C involve microcontrollers and performance. Dr. Ang built a low-code, self-hosted IoT platform powered by n8n that connects Arduino, ESP32 and Raspberry Pi devices over MQTT and HTTP, along with native iOS and Android companion apps for controlling devices and reading telemetry; the firmware side of that world is where C-style programming lives. Two fractal-art generators, one using Metal on iPhone and iPad and another using OpenGL ES on Android, render Mandelbrot, Julia and related sets directly on the GPU, where memory layout and tight loops matter. Sudoku apps for both platforms generate puzzles on the device with guaranteed unique solutions, a classic exercise in arrays and recursion. Dr. Ang's command-line tooling, including published Claude Code skills, reflects the same comfort with compilers, terminals and build steps. None of these projects is a pure C codebase, and Dr. Ang says so plainly, but they share the low-level thinking this course is designed to build.

In class, that thinking is paired with AI coding assistants so that learners grasp C fundamentals faster without skipping the hard parts. The first topic introduces C and vibe coding, sets up a C compiler alongside Cursor, GitHub Copilot and Claude, and works through variables, data types, operators and control flow, then functions, debugging and asking AI to explain code line by line. The second topic tackles what makes C distinctive: arrays, strings and structs, then pointers and memory management, where an AI assistant is most helpful as a patient explainer and most dangerous as an unchecked author. Learners build a command-line application and finish by testing, compiling and running the project, reading compiler warnings rather than ignoring them. Dr. Ang uses the AI to generate examples and alternative explanations, but insists that learners trace pointer behaviour and memory allocation by hand before accepting any suggestion, because a subtle memory error in C does not announce itself the way a typo does. The teaching style is patient and practical, with frequent short exercises and live debugging of the mistakes learners actually make. Students, embedded and IoT hobbyists, and developers coming from higher-level languages all benefit from seeing how a program really uses memory. Participants leave with a working command-line program and a far clearer mental model of what happens underneath their code. To explore the IoT, GPU and device-level projects referenced here, visit Dr. Ang's portfolio at https://github.com/alfredang

Review

Customer Reviews (5)

Very informative Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
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3. How do you find the training environment
I found the course extremely useful and relevant to my job. Highly recommend it to others. (Posted on 1/16/2026)
Very satisfied 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 training was very practical and hands-on. I could apply what I learned to my work immediately. (Posted on 7/24/2025)
Fantastic experience 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 training was very practical and hands-on. I could apply what I learned to my work immediately. (Posted on 7/15/2025)
Great learning experience 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
Great course materials and well-paced lessons. The exercises really helped me understand the topic. (Posted on 1/13/2025)
Great learning experience 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 trainer is an expert in the subject and shared many practical insights from real projects. (Posted on 2/1/2024)

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