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Data & Artificial Intelligence Project-Based Curriculum

Artificial Intelligence & Generative AI

Understand and build with modern AI — from machine learning foundations to today's generative AI tools.

Duration
5 Months
Category
Data & Artificial Intelligence
Format
Project-Based
Outcome
Portfolio + Certificate
Course Overview

About This Course

This course covers the fundamentals of machine learning and neural networks before moving into today's generative AI landscape — large language models, AI APIs, and how to build practical AI-powered applications responsibly.

Curriculum

What You'll Learn

Hands-on, project-based modules that build toward a portfolio piece by graduation.

01

Python for AI

02

Machine Learning Foundations

03

Neural Networks & Deep Learning Basics

04

Generative AI & Large Language Models

05

Working with AI APIs (OpenAI, Claude, etc.)

06

Building AI-Powered Applications

07

AI Ethics & Responsible Use

08

Capstone AI Project

Tools & Technologies

What You'll Work With

Python scikit-learn TensorFlow / PyTorch Basics AI APIs
Career Pathways

Where This Course Can Take You

AI/ML Support Engineer
Junior AI Developer
AI Product Assistant
Foundation for advanced Data Science careers
Admissions

Entry Requirements

  • Basic Python knowledge recommended (can be picked up alongside).
  • KCSE mean grade D or equivalent.
  • A personal laptop is recommended for practice.
  • Completed VITALINK admission form.

On admission, complete the enrollment process and follow the admissions team's guidance on payment arrangements. Contact admissions for the exact schedule.

Ready to Enroll?

Cohorts are forming now for AI & Generative AI.

Apply Online Contact Admissions

Quick Facts

Category
Data & Artificial Intelligence
Duration
5 Months
Format
Project-Based
Campus
Rongai

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