Full Stack Data Science with GenAI Udemy Course

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Full Stack Data Science with GenAI Udemy Course
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Welcome to “Full Stack Data Science with GenAI – Learn by Building Projects” – the only beginner-friendly course that takes you from zero to job-ready in Data Science and Generative AI through real-world, hands-on projects.

Whether you’re a complete beginner or someone looking to switch careers, this course is designed to make complex topics simple and practical. We focus on "learning by doing" – no endless theory, no fluff. Just real skills, built step-by-step.

What Makes This Course Unique?

  • Project-Based Learning – Build real data science and AI applications as you learn
  • Covers Both Traditional ML and Modern GenAI – Get ahead in today’s job market
  • Beginner Friendly – No prior experience in programming, math, or data science needed
  • Career-Focused – Includes resume tips and guidance to land your first data job

What You’ll Learn

  • Data science fundamentals and workflows
  • Python programming for data analysis and ML
  • Key math and statistics concepts for data science
  • Data cleaning, EDA, and feature engineering
  • Supervised and unsupervised machine learning
  • Real-world projects for your portfolio
  • Generative AI (GenAI) and Agentic AI concepts
  • Building GenAI applications like text and image generators
  • Resume building and interview tips to get job-ready

Course Modules

  1. Intro to Data Science & GenAI
  2. Python for Data Science
  3. Math for Data Science
  4. Data Collection & Cleaning
  5. EDA & Feature Engineering
  6. Supervised Learning (with Projects)
  7. Unsupervised Learning (with Projects)
  8. Real-World Projects
  9. GenAI & Agentic AI
  10. GenAI Projects
  11. Resume Building
  12. Tips to Get Interview Calls

Who Is This Course For?

  • Absolute beginners
  • Students or professionals wanting to learn data science
  • Tech enthusiasts exploring GenAI
  • Career switchers aiming for data/AI roles
  • Anyone who prefers hands-on learning with real projects

Tools & Technologies Used

  • Python, Pandas, NumPy, Matplotlib, Scikit-learn
  • GenAI tools (like OpenAI APIs, Hugging Face, or similar)
  • Jupyter Notebooks, Google Colab
  • Basic deployment tools (optional)

By the end of this course, you’ll not only understand the full data science pipeline — you’ll have built and deployed projects that prove it.

Let’s get started – enroll now and begin your data science journey!

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