Full Stack Data Science with GenAI

Master Data Science & Generative AI from Scratch – Build Real-World Projects Step by Step

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!