Mastering Machine Learning with Generative AI: Build, Optimize & Automate with Python
Why Majority Tech Teams Are Struggling to Scale Machine Learning
In Malaysia’s growing data economy, many IT teams and data professionals face the same bottleneck: machine learning models take too long to build, tune, and deploy. From endless data cleaning to code debugging and hyperparameter tuning—it’s a time-consuming, error-prone process. And yet, most still aren’t tapping into the latest GenAI tools that can automate and accelerate the entire ML pipeline.
What’s Slowing Down Your ML Workflow—And How This Course Fixes It
Problem: Model building is painfully slow and full of trial and error.
The Reality: You spend hours writing and tweaking code, choosing algorithms, and testing models.
The Solution: Learn how GenAI tools like ChatGPT, DeepSeek, and Claude can generate Python scripts, assist with model selection, and automate iterations.
Problem: Tuning hyperparameters is hit or miss.
The Reality: Grid Search and manual adjustments are tedious and may still miss optimal settings.
The Solution: Discover how to use AI for hyperparameter tuning—exploring Grid Search CV, Randomized Search, Bayesian optimization, and even genetic algorithms.
Problem: Data cleaning and preprocessing eat up most of your project time.
The Reality: Cleaning, transforming, and engineering features manually in Pandas or NumPy slows everything down.
The Solution: This course teaches AI-assisted preprocessing so you can clean and prepare real-world datasets in record time.
Problem: You lack a reliable, repeatable workflow for ML deployment.
The Reality: Most professionals build models in silos without a streamlined end-to-end pipeline.
The Solution: Learn to automate full ML workflows—from data prep to optimization to deployment—with AI-generated Python scripts.
Course Overview
In this intensive 2-day hands-on training, you’ll learn how to use Generative AI tools to build, optimize, and automate machine learning models using Python. You’ll work with tools like ChatGPT, Gemini, Claude, and DeepSeek to streamline data prep, model development, tuning, and debugging.
From writing custom ML code to deploying optimized models faster, this course gives you the practical edge to level up your ML workflows using the power of GenAI—no guesswork, just speed and results.
Outcomes & Benefits
Build machine learning models using GenAI-powered code generation
Use AI to clean, preprocess, and transform real-world datasets
Automate feature engineering and model evaluation
Perform advanced hyperparameter tuning with AI-assisted scripts
Save time by debugging and optimizing Python code using GenAI
Create end-to-end ML pipelines that are fast, accurate, and repeatable
Gain real experience working with AI tools like Claude, DeepSeek, and Copilot
Who Should Attend
Data scientists and ML engineers looking to optimize workflows
Python developers interested in AI-driven model development
AI and data analysts working on predictive models
IT professionals deploying ML in real-world environments
Researchers and technical leads aiming for faster, smarter pipelines
AI enthusiasts ready to go beyond theory into real implementation
Course Delivery Details
Duration: 2 Days
Format: Instructor-led or Virtual Instructor-led
Hands-on Activities: Included throughout the session
HRDC Claimable: Yes
Promo Price: RM1,900 only (Normal Price: RM2,500)
Date: 23rd - 24th June 2025
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