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Course Details
Course Details
What You'll Learn
Topic 1: Getting Started with AI Vibe Coding for Financial Analysis
Topic 2: Analysing Financial Data with AI
Topic 3: Portfolio and Investment Analysis with Vibe Coding
Topic 4: Building Financial Dashboards and Reports
Course Info
Prerequisite
Basic computer and file-management skills are expected. Familiarity with basic programming, data handling and elementary statistics will help you follow the exercises.
Software Requirement
You will need the following for this course:
- Python 3 – free
- Visual Studio Code – free
- Google Colab – free, runs in the browser with a Google account
- An AI coding assistant with a free tier, e.g. GitHub Copilot Free in Visual Studio Code
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.
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
- 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.
Financial data has been a recurring playground for Dr. Alfred Ang, a full-stack AI developer, Agentic AI solution architect and corporate trainer who serves as CTO of Tertiary Infotech Academy Pte Ltd in Singapore. Dr. Ang builds intelligent agents and business systems end-to-end, from front end and back end to databases, cloud deployment and native mobile apps, and much of that work is written with AI coding assistants and published across more than 300 public GitHub repositories. The n8n-financeadvisor project is a dark-themed stock analysis dashboard with TradingView and TwelveData charts showing live price and volume data, paired with an n8n-powered Telegram AI agent that answers questions about the market. Dr. Ang has also built an investment advisor website with an enquiry and FAQ chatbot workflow, and financial planning sites featuring a retirement calculator and gated planning checklist. On the accounting side, tertiary-hrms is a Next.js HR and accounting platform for Tertiary Infotech that handles leave, attendance, payroll and expense claims, so the realities of messy transactional data are familiar ground. For teaching analysis, data-mining-ml-labs provides interactive Python and Streamlit labs that make data exploration and machine learning approachable for beginners. Across these projects, Dr. Ang routinely uses AI assistants to scaffold code, debug errors and refactor quickly, the same vibe coding workflow this course teaches. That habit of building quickly and verifying carefully is the core discipline Dr. Ang wants every finance learner to adopt.
AI Vibe Coding for Python Financial Analysis shows learners how to get useful financial analysis out of Python without writing every line by hand. The first topic gets everyone started with AI vibe coding, setting up tools such as Cursor, GitHub Copilot and Claude and learning how to describe an analysis clearly enough for the assistant to produce working code. In the second topic, participants analyse financial data with AI help: loading price histories and statements, cleaning gaps, calculating returns and volatility, and checking every result rather than trusting it blindly. The third topic covers portfolio and investment analysis, including diversification, risk and return comparisons and simple scenario testing, using the same kind of logic Dr. Ang built into the stock analysis dashboard. The final topic brings everything together in financial dashboards and reports, turning analysis into charts and summaries that colleagues and managers can actually read. Dr. Ang teaches by building live in front of the class, narrating each prompt, showing the inevitable mistakes and demonstrating how to steer the assistant back on track. Finance professionals, analysts and business owners with little or no coding background will find the pace manageable, while those with some Python experience will pick up faster workflows. Learners who would like to examine the finance dashboards and analysis labs mentioned in class can explore Dr. Participants keep all the notebooks and scripts produced in class, giving them a starter library to adapt for budgeting, forecasting or reporting tasks. Ang's portfolio at https://github.com/alfredang.
Review
Customer Reviews (8)
- Very informative 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 12/26/2024)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 - Practical and relevant Review by Course Participant/Trainee
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The trainer is an expert in the subject and shared many practical insights from real projects. (Posted on 7/23/2024)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 informative 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 2/15/2024)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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