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Course Details
Course Details
What You'll Learn
Topic 1: Build Functional Python Apps with Vibe Coding
Topic 2: Deploy Python Apps on Streamlit
Topic 3: Build OOP Python Apps with Vibe Coding
Topic 4: Database Integration with Vibe Coding
Topic 5: Error Handling with Vibe Coding
Course Info
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
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.
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
- Aspiring Software Developer
- Data Analyst
- Web Developer
- Automation Engineer
- Data Scientist
- System Administrator
- Bioinformatics Specialist
- Research Scientist
- Finance Professional
- Machine Learning Enthusiast
- GIS (Geographic Information System) Specialist
- IT Consultant
- Network Engineer
- Database Administrator
- Tech Entrepreneur.
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.
Dr. Alfred Ang combines the roles of full-stack AI developer, Agentic AI solution architect and corporate trainer, and serves as Chief Technology Officer of Tertiary Infotech Academy Pte Ltd, the Singapore training organisation behind Tertiary Courses. Python sits at the heart of a great deal of Dr. Ang's work. One project is a set of interactive Python and Streamlit labs for beginner data mining and machine learning, designed so learners can explore datasets and models directly in the browser. Another is an AI-powered courseware generation platform built with Streamlit and the Claude Agent SDK, which turns structured course inputs into complete training documents, and a related Streamlit app that produces branded standard operating procedure documents automatically. Dr. Ang has also built interactive quantum computing lessons and simulators, a low-code IoT platform that connects Arduino, ESP32 and Raspberry Pi devices, and numerous automation scripts that tie AI models to real business data. Beyond Python, the portfolio covers Next.js web platforms, PostgreSQL and SQLite databases, Docker-based cloud deployment and native iOS and Android apps, with more than 300 public repositories on GitHub. This breadth means Dr. Ang approaches Python not as an isolated language exercise but as a practical tool for shipping working applications, using AI coding assistants to move quickly while keeping the resulting code understandable and maintainable. Many of these tools started as quick AI-assisted prototypes that Dr. Ang then hardened into dependable applications used by colleagues and learners, a journey this course deliberately mirrors.
AI Vibe Coding with Python follows the same path from idea to deployed app. Learners first use an AI assistant to build functional Python applications by describing what they want in plain language, then learn to read, test and refine the generated code. The second topic deploys those apps on Streamlit, the same framework Dr. Ang uses for teaching labs and document generators, so participants quickly see their work running as interactive web interfaces. The course then introduces object-oriented programming through vibe coding, showing how classes and methods make larger apps easier to organise, before moving to database integration, where learners connect their apps to persistent storage and practise creating, reading, updating and deleting records. The final topic focuses on error handling, teaching participants to anticipate failures, read tracebacks and prompt the AI for robust fixes rather than quick patches. Dr. Ang's classroom style is practical and encouraging: concepts are demonstrated live, mistakes are treated as learning moments, and the reasoning behind each AI suggestion is made explicit so that beginners build real understanding instead of copying code. Professionals from non-technical backgrounds gain the confidence to automate their own tasks, while experienced users pick up faster AI-assisted workflows. Each learner leaves with deployed Python apps and a dependable method for building more. Along the way, Dr. Ang shares practical tips on organising project files, writing clear prompts for each change and saving working versions, so learners can recover easily when an AI edit goes wrong. Explore Dr. Ang's Python and Streamlit work at https://github.com/alfredang.
Review
Customer Reviews (5)
- Very useful course 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 11/14/2025)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 - Superb training Review by Course Participant/Trainee
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Very engaging session. The trainer patiently answered all our questions and gave useful tips. (Posted on 5/7/2025)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 - Well structured course Review by Course Participant/Trainee
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The course materials were detailed and easy to reference afterwards. Great value for money. (Posted on 4/5/2025)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 - Excellent course Review by Course Participant/Trainee
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Really enjoyed the training. The examples were relevant and the pace was just right. (Posted on 11/23/2024)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 - Very useful course Review by Course Participant/Trainee
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The course content was comprehensive and up to date. The practical exercises were the best part. (Posted on 8/12/2024)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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