DATA SCIENCE with GEN AI
Data Science with Generative AI
Explore data in a whole new way — smarter, faster, and more creative.
This course isn’t just about crunching numbers. It’s about helping you understand how data works, and how today’s most powerful AI tools can help you turn that data into real results. Whether you’re building a smart model, creating an AI chatbot, or just trying to automate a boring report — you’ll know how to do it with confidence.
12503 Studentes Joined
- 22-02-2025
- 10:00 AM
Course Overview
Data Science with Generative AI
Let’s face it—data science isn’t what it used to be. A few years ago, it was all about spreadsheets, models, and maybe some charts. Today? It’s about creating intelligent tools that actually do things. And Generative AI is right at the center of that shift.
This course was built for people who want to go beyond the basics. Yes, we’ll get into the usual stuff—like Python, data cleaning, visualizations, and machine learning—but we’ll also explore how to build with AI.
You’ll get to work with things like ChatGPT, LLMs, and LangChain. These aren’t just buzzwords. They’re the tools companies are starting to rely on to build smarter apps, automate tasks, and even replace entire workflows.
We keep it simple and practical. You won’t just learn how things work—you’ll actually create stuff. Real-world mini-projects, hands-on practice, and examples that make sense even if you’re not a coder (yet).
Key Highlights
Comprehensive Data Science Fundamentals
Get a grip on the basics of data science, digging into numbers to make computers learn things. All with some experts.
Real-World Project Experience
Learn real skills by working on actual projects. You’ll face the same problems that folks do in real jobs.
Collaborative Learning Environment
Jump into a friendly and lively place where working together makes learning fun and easier!
Industry-Relevant Case Studies
Use real-life examples to use your data science know-how. Solve the problems that people face in industries today.
Key Features
- You’ll actually do stuff, not just watch. From the very first module, you're building things. Playing with code. Exploring real data. It's not a passive course — you're in it.
- We show, not just tell. Everyone talks about ChatGPT and AI tools — we’ll show you how to use them. You’ll see how to plug them into projects, not just read articles about it.
- Simple explanations. Always. You don’t need a tech degree to get this. We break down every concept in a chill, step-by-step way. If you’ve got basic logic and curiosity, you’re good.
- Small wins all the way. You’ll build little tools, automate things, even create your own AI-based apps. Every few lessons, you’ll be able to say “hey, I actually made that.”
- Learn what matters, skip the fluff. No boring theory that wastes your time. Everything in this course was chosen because it helps you do something useful or helps you land a job.
- By the end, you’ll have real stuff to show off. Not just “I completed a course” — but “Look what I built.” You’ll walk away with working projects and skills you can actually talk about in interviews or put on your resume.
Skills Covered
Work with data like a pro You’ll learn how to collect, clean, and make sense of data using Python and tools like Pandas and Matplotlib. No theory overload just real techniques you’ll actually use
Use Gen AI tools to build cool stuff – You’ll explore tools like ChatGPT, LangChain, and other AI models to create real-world applications—from chatbots to auto-report generators.
Build smart models that solve problems – We’ll teach you how machine learning works (in a simple way), and you’ll build models that can make predictions, spot patterns, and automate tasks.
Think like a data-driven problem solver – More than just tools, you’ll learn the mindset: how to approach messy problems, break them down, and use AI to solve them in smart, efficient ways.
Eligibility
Any Degree - B. Tech, BSc, B.Com, BBA, etc.
No prior coding knowledge is required.
All IT & Non-IT Branches - CSE, EEE, Civil, Mech, Bio, etc.
No CGPA cut-off. Career gap is not a barrier.
Freshers and Experience Candidates both are Eligible to make career in Data Science.
Course Curriculum
Python Without Pressure
We don’t throw code at you on Day 1. Instead, we start with simple, real-life examples that show you how Python helps with basic tasks like organizing messy data or spotting patterns. It’s beginner-friendly and practical — just how learning should be.
How Machines Actually Learn
Forget complicated algorithms and formulas. We’ll walk you through what machine learning really means — in plain English. You’ll learn how businesses use it to predict outcomes and how you can build your own models that make smart decisions.
Creating With Gen AI, Not Just Watching
Generative AI is more than just a buzzword. We’ll teach you how to use tools like ChatGPT to do real work — like summarizing content, answering real questions, or helping users through a chatbot. You’ll see how to make it useful, not just fun.
Prompt Writing That Actually Works
AI responds to what you tell it — and saying the right thing makes all the difference. This part of the course helps you get better responses by writing smarter prompts. We’ll even show you how to connect your AI to your own data.
Build Real Projects You Can Show Off
You’ll wrap up the course by building something that proves your skills — whether it’s a chatbot, a recommendation engine, or a data dashboard. It’s not just theory. It’s the kind of work you can show in a portfolio or interview.
Testimonials
Not gonna lie, I joined mostly because my friend wouldn’t stop talking about AI stuff. I had no clue what LangChain or LLM even meant. But week by week, it started making sense. I still remember the day I built a tiny tool that pulled data from a doc and answered questions — that moment felt unreal
Rakesh P
BA Graduate, 2021
I was honestly scared to even open Python before this. I thought you had to be a genius to do AI stuff. But here, they made it feel normal. The trainer didn’t rush anything, and the examples were always relatable. I messed up a lot in the first month, but by the end, I actually built something on my own.
Divya M
Final Year Student
The best part? They didn’t just throw theory at us. We actually got to build stuff. My first project was super basic, but it worked! A small assistant that could answer customer questions using documents. It felt good to see it live. Honestly, I didn’t think I had it in me before this course.
Akil S
Commerce Background
I never thought I’d say this, but learning Gen AI was actually kinda fun. I struggled a lot with prompts at first. Like, it just wasn’t clicking. But once I figured out how to talk to the model, it got addictive. Now I’m trying to build a tool that helps my dad’s business. Still buggy, but I'm proud of it.
Meghana J
Career Switcher
I’ve taken other online courses, but this one hit different. It felt more like a personal journey than a class. The trainers actually talked to us, not at us. Plus, seeing others in the group also struggling and then figuring it out — that gave me a push. I'm now applying for internships confidently.
Saif N
BSc GraduateRegister Now
