RoboSathi

Your Learning Companion for elite AI Engineering.
From rigorous mathematical foundations to production-grade Agentic AI.

LLM

Natural Language Processing

Study language representation, sequence models, attention mechanism, transformer architecture and the foundations that lead into modern LLM systems.

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Neural Networks

Deep Learning

Learn neural networks, backpropagation, optimization, activation functions, and the core concepts behind modern deep learning systems.

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Classical AI

Machine Learning

Build a strong grasp of supervised learning, unsupervised learning, feature engineering, and practical machine learning concepts.

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Foundations

Maths

Strengthen the linear algebra, probability, statistics, and calculus required to understand AI and ML in depth.

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Courses Videos

Roadmap

Start with the fundamentals, then move forward in a logical sequence.

01

Maths Foundation Course

Build the fundamentals first with probability, statistics, linear algebra, and calculus.

02

Machine Learning Course

Move into supervised, unsupervised, and practical machine learning concepts.

03

Deep Learning Course

Learn neural networks, back propagation, and other deep learning fundamental concepts.

04

Natural Language Processing Course

Master the working of Large Language Models (LLMs) after the core ML and DL foundations are in place.