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ChatGPT WORK for Digital Marketing

Course Information

  • Sessions 2 days
  • Duration 15 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.

ChatGPT WORK for Digital Marketing

Course Code: C818
AI Vibe Coding Series

8 Review(s) | Add Your Review

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What's This Course About

ChatGPT WORK for Digital Marketing turns ChatGPT Work into a practical digital marketing assistant. This hands-on course shows marketers, business owners and content creators how to delegate real campaign work to ChatGPT Work, from a source-checked campaign brief to finished flyers, social content and an email sequence, while keeping every fact accurate and every asset on brand. Instead of starting from a blank page for each channel, you will learn to build one trusted brief and turn it into consistent content across print, social and email.

Throughout the course, you will run one complete campaign for a fictional baking school. You will build a grounded campaign brief and a reusable marketing workflow, then design editable flyers and adapt them into print and social formats. Next, you will write a social article, repurpose it into platform-ready posts and plan a content calendar with a clear editorial review gate. Finally, you will prepare a segmented email sequence, interpret campaign metrics and package everything into a clean handoff that another marketer can review and use.

Each topic is backed by guided labs, so you leave with a working method, not just a set of prompts. You will learn how to check AI output against your sources, preserve brand voice and visual identity, catch errors before anything is published and organise your files for team review. No coding or design background is needed, and the skills transfer directly to your own products, services and campaigns. By the end of the course, you will be able to plan, create and review a multi-channel marketing campaign faster and with more confidence using ChatGPT Work.

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

₵3,000.00

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: ChatGPT Work and a Grounded Campaign Brief

Topic 2: Flyer Design and Visual Review

Topic 3: Social Articles and Content Planning

Topic 4: Email Campaign and Measurement

Course Info

Prerequisite

Comfortable using a computer, installing applications and working with files. Basic programming concepts are recommended for application-development labs. Participants should be able to follow the English-language training materials.

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

  • AI Automation Engineer
  • Agentic AI Developer
  • Workflow Automation Specialist
  • AI Solutions Architect
  • Prompt Engineer
  • Robotic Process Automation (RPA) Developer
  • Business Process Automation Analyst
  • AI Integration Specialist
  • Digital Transformation Consultant
  • Data Automation Engineer
  • DevOps Automation Engineer
  • AI Product Manager
  • Low-Code/No-Code Developer
  • API Integration Developer
  • Intelligent Automation Consultant
  • AI Operations (AIOps) Specialist
  • Business Intelligence Automation Analyst
  • Cloud Automation Engineer
  • IT Process Automation Manager
  • AI-Powered Systems Administrator

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.

Agentic coding, where an AI plans, writes, runs and fixes code under human direction, is how Dr. Alfred Ang builds software every day. Dr. Ang is a full-stack AI developer, Agentic AI solution architect and corporate trainer, and serves as Chief Technology Officer of Tertiary Infotech Academy Pte Ltd in Singapore, the training organisation behind Tertiary Courses. The scale of that practice is visible in more than 300 public repositories on GitHub, spanning web platforms, AI agents and native mobile apps. Highlights include the course-registration and learning management platform that runs the Tertiary Courses websites in Singapore, Malaysia and Ghana, a self-hosted AI learning and training management system, a full-stack certification practice-exam platform, and dozens of native iOS and Android apps published on the App Store and Google Play. Dr. Ang has also set up continuous delivery pipelines that build, sign and submit iOS apps automatically on every push, and deploys web applications in containers that rebuild whenever code changes. A public collection of Claude Code skills automates routine developer tasks, from detecting and starting any app to generating READMEs, scanning for leaked secrets and testing mobile responsiveness. Smaller teaching projects, such as a dependency-free course catalogue with an AI-assisted course adviser, show the same workflow applied to quick demos. Working end to end across front end, back end, databases, cloud deployment and mobile, Dr. Ang has learned where agentic tools shine and where careful review remains essential.

AI Vibe Coding with Codex passes on that hard-won judgement. Dr. Ang introduces vibe coding and OpenAI Codex, then helps learners set up the Codex CLI and their environment before delegating a first coding task. Effective prompting and guardrails come early, because the quality of an agent's work depends on how clearly the task, constraints and expectations are described. The second topic builds applications with Codex: generating code, files and project scaffolding, building front-end, back-end and data layers, connecting to tools, repositories and APIs, and using Codex to explain and navigate unfamiliar codebases. The third topic covers testing, debugging and refactoring, with learners asking Codex to generate and run tests, diagnose and fix issues, improve code quality and, crucially, help review, secure and validate the code it produced. The final topic is about automation and shipping: delegating repetitive coding tasks and workflows, integrating Codex into development and CI/CD, building and deploying a finished application, and adopting best practices for agentic coding at scale. Dr. Ang shares practical habits from daily agentic development, such as breaking work into small, testable steps, reading every change before accepting it and keeping secrets out of the agent's reach. Teaching is project-based, so each learner builds and deploys a working application over the course and finishes with a personal workflow for directing an AI pair programmer confidently. To see what agentic coding produces at scale, browse Dr. Ang's repositories at https://github.com/alfredang

Review

Customer Reviews (8)

Highly recommended 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 6/2/2026)
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 2/18/2026)
Clear and easy to follow 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
A very practical course. The trainer made a complex topic simple and enjoyable to learn. (Posted on 1/3/2026)
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
Solid content and a supportive trainer. I would definitely sign up for more courses here. (Posted on 2/22/2025)
Highly recommended 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
A very practical course. The trainer made a complex topic simple and enjoyable to learn. (Posted on 11/23/2024)

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