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+254 741 608 391

Applied AI & Machine Learning

Advanced Program. This program equips participants with practical skills in machine learning and applied AI, focusing on real-world data, decision-making, and predictive systems.

10-16Weeks
6Core Modules
$250Program Fee
5Max Per Cohort
Applied AI and Machine Learning
Advanced Program Hands-on, project-based learning
Tools You Will Use: Python SQL Excel R Program Fee: $250

This program equips participants with practical skills in machine learning and applied AI, focusing on real-world data, decision-making, and predictive systems.

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
  • $250
Certificates Awarded Certificate of Achievement Professional Certification (AI & Machine Learning) Professional Certification awarded upon successful project completion & assessment.

Tools You Will Use

Python SQL Excel R

Datasets

World Bank NHANES Business Datasets Custom Data

Six Core Learning Areas

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

Foundations of Machine Learning

  • Supervised vs unsupervised learning
  • Model types and use cases
  • Data preparation for ML

Data Preparation & Feature Engineering

  • Cleaning and structuring datasets
  • Feature selection and transformation
  • Handling real-world messy data

Core Machine Learning Models

  • Regression models
  • Classification models
  • Clustering techniques

Model Evaluation & Optimization

  • Accuracy, precision, recall
  • Model validation
  • Improving performance

Applied AI for Decision Systems

  • Forecasting models
  • Risk scoring systems
  • Customer and market analytics
  • Policy and impact modeling

Practical Projects

  • Build real ML models
  • Work with real datasets
  • Apply models to real problems
  • Graduates of the Main Program
  • Data analysts
  • Researchers
  • Professionals moving into AI

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
Certificates Awarded Certificate of Achievement Professional Certification (AI & Machine Learning) Professional Certification awarded upon successful project completion & competency assessment.

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