🎓 INTRODUCTION TO GENERATIVE AI & DATA SCIENCE

Completed under the FlexiSAF Internship Program (SAFInterns 2025 Cohort)

🌟 Course Overview

This course introduced me to the core foundations of Generative AI and Data Science, including:

🤖 Basics of Generative AI models

📊 Data Science workflow (Collect → Clean → Analyze → Model → Visualize)

🧠 Understanding how AI learns from data

🧩 Real-world use cases and ethical considerations in AI

💡 Learning Highlights

During this course, I explored key concepts through flashcards and practical activities, such as:

🧮 Identifying Types of Data: Structured, Semi-Structured, & Unstructured

⚙ Cleaning messy data (handling missing values, standardizing text entries, etc.)

📈 Understanding machine learning model stages

🗂 Comparing supervised vs. unsupervised learning

💬 Exploring Generative AI applications in text, image, and audio domains

📘 Flashcard Tasks (Examples)

Task Description Status

🧠 Data Types Quiz Identify structured vs unstructured data ✅ Completed ⚙ Cleaning Challenge Standardize categorical entries (Yes, yes, YES) ✅ Completed 📊 ML Model Basics Match algorithm type to dataset scenario ✅ Completed

🏅 Certificate of Completion

Here’s my official certificate issued by Distinction for completing the course successfully 🎉 📜 Certificate: