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AI Vibe Coding for Python Machine Learning

Course Information

  • Sessions 1 day
  • Duration 15 hrs
  • Level Intermediate
  • Assessment NA

Venue

Kuala Lumpur: G-3A-02, Suite Pejabat Korporat, KL Gateway, No 2, Jalan kerinchi, Gerbang kernichi Lestari, 59200 Kuala Lumpur, Malaysia
Penang: Jalan Sungai Dua, 11700 Penang, Malaysia.

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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.

AI Vibe Coding for Python Financial Analysis

Course Code: C188
AI Vibe Coding Series
  • HRDF

8 Review(s) | Add Your Review

What's This Course About

Turn Python into your financial analysis toolkit with AI Vibe Coding for Python Financial Analysis. This hands-on 2-day course teaches you how to use AI coding assistants such as Cursor, GitHub Copilot and Claude to analyse financial data with Python. Instead of memorising pandas syntax and formulas, you will vibe code — describing the analysis you want in plain language and letting AI generate, explain, refactor and fix the Python code while you stay in control of the financial logic and interpretation.

Through practical exercises with real market data, participants will import and clean financial datasets, compute returns, volatility and risk metrics, analyse price time series, evaluate and optimise portfolios, backtest simple trading strategies, and publish an interactive financial dashboard on Streamlit — all with an AI pair programmer at their side. You will also learn to review, test and improve AI-generated analysis code so your numbers are correct and your conclusions hold up. By the end of the course, you will be able to deliver useful financial analysis in Python faster with an effective AI vibe-coding workflow.

Course Fee

MYR700.00

Course Date

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

  • Introduction to Python for Financial Analysis
  • Setting Up Python and AI Coding Assistants (Cursor, GitHub Copilot, Claude)
  • Working with Financial Data in Pandas
  • Importing Market Data from APIs and Files

Topic 2 Analysing Financial Data with AI

  • Cleaning and Transforming Financial Datasets
  • Computing Returns, Volatility and Risk Metrics
  • Time Series Analysis of Stock Prices
  • Visualising Financial Data with AI-Generated Charts

Topic 3 Portfolio and Investment Analysis with Vibe Coding

  • Measuring Portfolio Returns and Diversification
  • Portfolio Optimisation with AI Assistance
  • Backtesting Simple Trading Strategies
  • Evaluating Performance and Drawdowns

Topic 4 Building Financial Dashboards and Reports

  • Automating Financial Reports with Python
  • Building an Interactive Finance Dashboard on Streamlit
  • Reviewing and Improving AI-Generated Analysis Code
  • Deploying and Sharing Your Financial Analysis App

Course Info

Promotion Code

Your will get 10% discount voucher for 2nd course onwards if you wrte us a Google review.

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: 21-65 years old

Minimum Software/Hardware Requirement

Software:

Download and Install the following software

Sign up free Google Colab account

Hardware: Window or Mac Laptops

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

Saeid is co-founder of Skymics Sdn Bhd. He has 8 years of experience in the field of IoT (Internet of Things) and Information Technology. He is a certified IBM IoT Practitioner and instructor, and a Certified Citizen Data Scientist Train-The-Trainer. He has been co-inventor of 3 inventions during the last 4 years.

Review

Customer Reviews (8)

Engaging trainer 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 course content was comprehensive and up to date. The practical exercises were the best part. (Posted on 27/09/2025)
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 course content was comprehensive and up to date. The practical exercises were the best part. (Posted on 29/04/2025)
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
Excellent delivery and good balance between theory and practice. Learned a lot in a short time. (Posted on 17/01/2025)

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