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Course Details
Course Details
What You'll Learn
Topic 1: Introduction to AI for Retail
- The AI Landscape: From Generative AI to AI Agents
- AI Use Cases Across the Retail Value Chain
- Hands-On with AI Assistants: ChatGPT, Claude and Copilot
- Generating Product Descriptions, Marketing Copy and Visuals with AI
- Customer Data Privacy, Governance and Responsible AI in Retail
Topic 2: Applying AI to Retail Operations and Customer Experience
- AI-Powered Customer Service and Chatbots
- Personalised Recommendations and Targeted Promotions
- Demand Forecasting and Inventory Planning with AI
- AI for Pricing, Merchandising and Sales Analytics
- Building Simple AI Workflows for Day-to-Day Retail Tasks
Course Info
Prerequisite
Basic computer and file-management skills are expected. Familiarity with basic computer use and familiarity with the business or creative tasks covered by this course will help you follow the exercises.
Software Requirement
Prepare the following before class:
- R
- RStudio Desktop
- A current web browser, a PDF reader and access to an email account. Sign in and test your accounts before class.
- Confirm licence/subscription access, any fees, training accounts and API credits with the training team before enrolment.
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
- Data analysts
- Financial analysts
- Marketers
- Researchers
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.
Retail problems such as running out of stock, answering customer questions and pricing products sensibly are ones Dr. Alfred Ang has tackled directly with AI. 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. One of Dr. Ang's n8n projects is an AI inventory audit and forecasting agent: a local language model running through Ollama reads stock levels, flags items below their reorder threshold, computes replenishment and reports through Google Sheets and Gmail. Another is an ERP prototype covering purchase orders, three-way-matched invoices, stock held at multiple depots and low-stock replenishment, with AI agents preparing work and humans approving it by email, Asana or Telegram, supported by a lightweight warehouse inventory dashboard. On the customer side, Dr. Ang has built a retrieval-augmented customer-service chatbot that answers from product brochures, a home-cook marketplace with native iPhone and Android apps for discovering and booking dining experiences, a digital business card platform with a CRM and sales pipeline, and an exam platform with checkout across several payment gateways. Dr. Ang also built the course-registration storefront that runs the Tertiary Courses websites in Singapore, Malaysia and Ghana. All of this is developed end to end, from front end and back end to databases, cloud deployment and native mobile apps, and documented across more than 300 public repositories on GitHub.
In this AI for Retail course, Dr. Ang uses those builds to show what AI can do at every step of the retail value chain. The first topic maps the landscape, from generative AI to AI agents, and surveys use cases from sourcing and merchandising to the shop floor and after-sales service. Learners get hands-on with AI assistants such as ChatGPT, Claude and Copilot, generating product descriptions, marketing copy and visuals for real or sample products and learning how to refine prompts until the output fits the brand. Customer data privacy, governance and responsible AI are covered early, because retailers handle personal and purchasing information that must be protected. The second topic applies AI to operations and customer experience: AI-powered customer service and chatbots, personalised recommendations and targeted promotions, demand forecasting and inventory planning, and AI support for pricing, merchandising and sales analytics. Dr. Ang draws on the inventory forecasting agent and ERP prototype to show how a forecast becomes a replenishment decision, and why a human approval step remains important. The course finishes with learners building simple AI workflows for day-to-day retail tasks, such as summarising sales, drafting promotions or answering common customer queries. No programming background is needed; the emphasis is on practical tools, clear examples and exercises that learners can repeat in their own stores the following week. Participants leave with a short list of high-value AI opportunities for their business. To see the inventory and commerce projects behind the course, visit https://github.com/alfredang
Review
Customer Reviews (6)
- Would attend again Review by Course Participant/Trainee
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Good hands-on training with plenty of examples. I feel much more confident applying these skills now. (Posted on 9/5/2025)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 - Learned a lot Review by Course Participant/Trainee
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A very practical course. The trainer made a complex topic simple and enjoyable to learn. (Posted on 7/2/2025)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 course materials Review by Course Participant/Trainee
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The training was very practical and hands-on. I could apply what I learned to my work immediately. (Posted on 2/27/2025)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 - Practical and relevant Review by Course Participant/Trainee
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Excellent delivery and good balance between theory and practice. Learned a lot in a short time. (Posted on 1/9/2025)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 - Hands-on and practical Review by Course Participant/Trainee
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The training was very practical and hands-on. I could apply what I learned to my work immediately. (Posted on 1/23/2024)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
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