AI ML Roadmap

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Session

30 mins

4.9

AI ML Roadmap

with Kartik Rai · Adobe · Underrated Coder

Steps to become an AI Developer

Foundations: linear algebra, probability, statistics
Practical ML: data preprocessing and feature engineering
Modeling: from classical ML to deep learning
Tooling: Python, scikit-learn, PyTorch/TensorFlow
Project ideas and deployment basics

What students say

Recent feedback from mentorship sessions

I'm in my 2nd year and was totally lost about internships. The 60-min Career Guidance session was a life-saver. I now have a clear, step-by-step roadmap for the next two years.

RGRohan Gupta

Our team always struggled with pitching. The Hackathon Guidance was amazing! We learned how to validate our idea and build a strong MVP. We finally made it to the finals in our last hackathon.

ASAnjali Singh

DSA felt like a mountain I couldn't climb. The DSA Roadmap session broke it down perfectly. I finally understand *how* to practice trees and graphs for interviews, not just *what* to practice.

VRVikram Reddy

I wanted to start AI/ML but didn't know where to begin. This roadmap was so clear, from the math foundations to building actual projects with PyTorch. Highly recommended for beginners.

PSPriya Sharma

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Sun, 18 Oct · 7:00 PM