Applied AI & Machine Learning

Build practical skills in Machine Learning and Applied AI through real-world datasets, hands-on projects, predictive modelling, and decision-focused applications.

Participants move beyond theory to build models, analyze outcomes, and apply AI in business, research, and policy environments.

Learn how to build and apply machine learning models to real-world data and decision-making.
Work with real datasets, develop predictive systems, and gain practical skills in applied AI.

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Program Structure

Duration: 10-16 Weeks
Format: Online + optional physical
Style: Hands-on, project-based
$300 $150 Introductory price, available until January 31, 2027

Certificates Awarded Participants who successfully complete the required project and assessment receive: Certificate of Achievement Professional Certification in AI & Machine Learning

Tools You Will Use

Python SQL Excel R

Datasets

World Bank NHANES Business Datasets Custom Data

What You Will Learn

Six Core Learning Areas

A structured curriculum that takes you from ML fundamentals to applied real-world projects.

Foundations of Machine Learning

Supervised and unsupervised learning
Model types and use cases
Data preparation

Data Preparation & Feature Engineering

Data cleaning and transformation
Feature selection
Working with real-world data

Core Machine Learning Models

Regression
Classification
Clustering

Model Evaluation & Optimization

Model validation
Accuracy, precision and recall
Model performance improvement

Applied AI for Decision Systems

Forecasting
Risk scoring
Customer and market analytics
Policy and impact modelling

Practical Projects

Real-world datasets
Build and evaluate ML models
Apply AI and ML to practical problems

Who This Is For

Graduates
Data Analysts
Researchers
Professionals Moving into AI & Machine Learning

Outcomes

By the end, participants will:

Build machine learning models
Apply AI in real scenarios
Use AI for data-driven decisions
Deliver real-world analytics projects