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AI Vibe Coding for Python Machine Learning

Course Information

  • Sessions 2 days
  • Duration 15 hrs
  • Level Intermediate
  • Assessment NA

Venue

Kuala Lumpur: G-3A-02, Corporate Office Suite, KL Gateway, No. 2, Jalan Kerinchi, Gerbang Kerinchi Lestari, 59200 Kuala Lumpur, Malaysia

Course Brochure

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Prerequisite

This course is for beginners. No prerequisite is required.

Certification

  • Participants who achieve at least 75% attendance will receive a Certificate of Attendance from Tertiary Courses Malaysia.

AI Vibe Coding for Python Financial Analysis

Course Code: C188
AI Vibe Coding Series

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What's This Course About

AI Vibe Coding for Python Financial Analysis teaches you how to use AI coding assistants such as Cursor, GitHub Copilot and Claude to analyse financial data with Python. Instead of writing every line of code yourself, you describe what you want in plain English, review what the AI produces and steer it until the analysis is right. The course is designed for finance professionals, analysts, investors and accountants who want to harness Python for financial work without needing to be expert programmers.

You will start by getting set up with AI vibe coding for financial analysis, installing the tools and learning how to prompt an AI assistant to write, explain and debug Python code using pandas and related libraries. Next you will analyse financial data with AI, importing price and financial statement data, cleaning it, calculating returns, ratios and growth rates, and exploring trends. You will then apply vibe coding to portfolio and investment analysis, measuring risk and return, volatility, correlation and diversification, and comparing portfolio strategies.

The final topic covers building financial dashboards and reports, turning your analysis into clear charts and interactive dashboards that communicate insights to stakeholders. Throughout the course you will learn to check AI-generated code and results carefully, avoid common data pitfalls and keep your analysis reproducible. All exercises are hands-on with real financial data. By the end, you will be able to use AI-assisted Python to perform financial analysis faster and with confidence.

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.
HRD Corp Claimable

🏦 HRD Corp Claimable

This course is HRD Corp claimable for eligible employers. Grant approval and reimbursement remain subject to HRD Corp requirements, the employer’s available levy and the approved grant details. How the HRD Corp process works →

Course Fee

MYR2,200.00
+ 8% SST

Course Date

Course Time

* Required Fields

Course fees are shown before SST. An 8% SST is included in the estimated total during registration.

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.

Disclaimer: The course dates displayed on our website are tentative and subject to trainer availability. We will confirm the final date after checking with the trainer. You are also welcome to email us your preferred date at sales@tertiarycourses.com.my, and we will do our best to coordinate with the trainer's schedule.

Post-Course Support

  • We may provide consultation related to the subject matter after the course.
  • Please email your queries to sales@tertiarycourses.com.my 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: 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

Minimum Entry Requirement

Knowledge and Skills

  • Able to operate using computer functions

Attitude

  • Positive Learning Attitude
  • Enthusiastic Learner

Minimum Software/Hardware Requirement

Software:

You will need the following for this course:

Hardware: Windows PC or Mac laptop

How to Apply HRD Corp Funding

This course is HRD Corp claimable for employers registered with HRD Corp, under the HRD Corp Claimable Courses scheme (SBL-Khas). Your company applies for the grant before the class; we submit the training provider claim after it.

  1. Check your levy balance - your company must be registered with HRD Corp and have enough levy balance to cover the course fee.
  2. Request a quotation - contact us for the quotation, course content and trainer profile; you attach these to the grant application.
  3. Apply for the grant in eTRiS before the class - log in to your employer eTRiS account, go to Application > Grant > Apply Grant, choose the scheme HRD Corp Claimable Courses (SBL-Khas), select us as the training provider and this course, add your trainees, attach the quotation, course content and trainer profile, and submit.
  4. Submit in time - for public classes, submit at least 3 calendar days before the class (15 June to 31 December 2026) and at least 14 days before from 1 January 2027; in-house classes need 14 days. The training must start within 90 days of that advance submission period.
  5. Send us the grant approval - once HRD Corp approves the application, email us the grant ID so we can confirm your seats.
  6. Attend the class - trainees sign the daily attendance (T3) form.
  7. Claim after the class - we submit the training provider claim in eTRiS with the attendance and invoice; you then complete the employer claim and sign the JD/14 form (manager level or above). Claims must be submitted within 6 months of the training.

More details: our HRD Corp Claimable Courses page and the HRD Corp employer guidelines.

Job Roles

Job Roles

  • Financial Analysts
  • Investment Analysts
  • Finance Professionals
  • Accountants
  • Data Analysts

Trainers

Trainers

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.

Saeid Alizadeh is a data analytics and visualisation specialist with more than eight years of hands-on experience in data processing, visualisation and analytics, and is a Microsoft Certified: Power BI Data Analyst Associate. He has trained Malaysian professionals in data analysis and data visualisation with Tertiary Infotech Sdn. Bhd. since 2016 and has been an HRD Corp Accredited Trainer since 2021, specialising in Power BI, Excel data analysis and Tableau. As Chief Technology Officer of Skymics Sdn. Bhd., a Kuala Lumpur MSC Malaysia-status IoT company, he leads solutions in which data from smart energy monitoring, smart plantation, smart building and environmental monitoring systems is collected, cleaned and turned into dashboards and decisions, and he has also worked on social media analytics and smart-city energy management projects. Earlier in his career he served as IT Director at World Wide Science. He is a Certified Citizen Data Scientist Train-the-Trainer and a certified IBM IoT Practitioner and Instructor, is co-inventor of three inventions, and holds an MBA in Information Technology from Multimedia University and a Bachelor's degree in Computer Science (Information Technology).

On this course, Saeid draws on his data-processing and analytics experience across IoT, energy and business data. He shows learners how Python can clean, analyse and visualise data in a repeatable way, with practical examples drawn from real projects.

Review

Customer Reviews (8)

Practical and relevant 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 06/06/2026)
Hands-on and practical 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 17/02/2026)
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
I found the course extremely useful and relevant to my job. Highly recommend it to others. (Posted on 16/11/2025)
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
Well organised course with clear objectives. The step-by-step approach made it easy to follow. (Posted on 13/11/2025)
Very informative 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 24/10/2025)

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