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Data Science & Generative AI

Categories: Data Science
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About Course

A Data Science & Generative AI Professional analyzes large datasets, builds predictive models, and creates intelligent AI systems that generate content such as text, images, and insights.

This Data Science & Generative AI Program is designed to provide a strong foundation in Python programming, data analysis, machine learning, and modern Generative AI technologies such as LLMs and prompt engineering.

Participants will learn how to collect, process, analyze, and visualize data, build machine learning models, and implement AI applications using generative models and APIs.

By the end of the program, learners will be able to build real-world data science and AI projects and prepare for roles such as:

  • Data Scientist
  • AI Engineer
  • Machine Learning Engineer
  • Data Analyst
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Course Content

INTRODUCTION TO DATA SCIENCE & AI

  • Introduction to Data Science
  • Role of Data Scientists
  • AI vs Machine Learning vs Deep Learning
  • Data Science Lifecycle
  • Tools used in Data Science
  • Introduction to Python for Data Science
  • Setting up Python environment (Anaconda, Jupyter)

PYTHON PROGRAMMING FOR DATA SCIENCE

DATA ANALYSIS WITH NUMPY & PANDAS

DATA VISUALIZATION

STATISTICS & PROBABILITY FOR DATA SCIENCE

MACHINE LEARNING FUNDAMENTALS

ADVANCED MACHINE LEARNING

DEEP LEARNING BASICS

GENERATIVE AI & LARGE LANGUAGE MODELS

AI APPLICATION DEVELOPMENT & DEPLOYMENT

CAPSTONE PROJECT
Students will build real-world Data Science & Generative AI projects, such as:

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