Full Stack Data Science with GenAI
Master Data Science & Generative AI from Scratch – Build Real-World Projects Step by Step
Full Stack Data Science with GenAI udemy course
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
Intro to Data Science & GenAI
Python for Data Science
Math for Data Science
Data Collection & Cleaning
EDA & Feature Engineering
Supervised Learning (with Projects)
Unsupervised Learning (with Projects)
Real-World Projects
GenAI & Agentic AI
GenAI Projects
Resume Building
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!
