Engineering

B.Tech CSE-AIML

B.Tech CSE — Artificial Intelligence & Machine Learning

This pathway combines computer science foundations with the study of artificial intelligence and machine learning. Students can explore how data-driven systems are created, tested and used responsibly.

This course guide is exploratory. Subject combinations and course structures vary, so compare current information from institutions.

Course overview

A starting point for understanding the learning direction.

This pathway combines computer science foundations with the study of artificial intelligence and machine learning. Students can explore how data-driven systems are created, tested and used responsibly.

What students typically study

  • Computer science and programming foundations
  • Probability, statistics and linear algebra
  • Machine learning concepts
  • Data preparation, model evaluation and responsible AI

Skills to explore

  • Programming
  • Model experimentation
  • Data reasoning
  • Evaluation and testing
  • Responsible technology thinking

Possible career areas

  • Machine learning
  • Software engineering
  • Data science
  • AI product development
  • Applied research

Possible higher-study pathways

  • M.Tech CSE or AI
  • Data science specialisation
  • Computing research
  • Technology management

Example projects students can build

Small projects can help you test which parts of the subject hold your interest.

PROJECT 01

A text classification prototype

PROJECT 02

An image recognition experiment

PROJECT 03

A recommendation-system demo

PROJECT 04

A model evaluation dashboard

Related careers

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Related courses

Compare neighboring pathways before building your shortlist.

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B.Tech Computer Science and Engineering

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B.Tech CSE-AI & Data Science

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Compare, reflect, investigate

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Put courses side by side or use the quiz to discover several career areas worth investigating.