KTU Introduction to Artificial Intelligence and Data Science Tuition
Live 1-on-1 online tuition for KTU Introduction to Artificial Intelligence and Data Science (GNEST305, Semester 3, 2024 Scheme) — every module covered, matched to the real KTU syllabus and exam pattern.
Why Choose Learnizo for KTU Introduction to Artificial Intelligence and Data Science?
GNEST305 carries real weight in the KTU Mechanical curriculum (CIE 40 + ESE 60 marks). A tutor who knows the exact module structure and exam pattern saves real preparation time.
Introduction to Artificial Intelligence and Data Science Specialist Tutors
Tutors who have taught Introduction to Artificial Intelligence and Data Science specifically, matched to the real KTU 2024 Scheme module structure — not generalist engineering faculty.
Module-by-Module Approach
Sessions follow the KTU syllabus module by module, spending extra time on whichever module you're weakest in.
Exam-Focused Sessions
Previous year KTU GNEST305 papers are worked through in sessions so you know exactly what to expect in the exam hall.
Introduction to Artificial Intelligence and Data Science — Module-wise Coverage
Complete coverage of KTU GNEST305 (Semester 3, 2024 Scheme), module by module.
Full Syllabus (GNEST305)
- Module 1 — Machine learning basics, supervised/unsupervised learning, neural networks
- Module 2 — Linear algebra for AI — SVD, PCA, dimensionality reduction
- Module 3 — Probability and statistics for AI — Bayes theorem, MLE, regression analysis
- Module 4 — Data science process and applications, Python/MATLAB/R tools
About KTU Introduction to Artificial Intelligence and Data Science (GNEST305)
Introduction to Artificial Intelligence and Data Science is a Semester 3 subject in the KTU 2024 Scheme Mechanical curriculum, assessed as 40 marks continuous internal evaluation (CIE) plus 60 marks end-semester exam (ESE). Most students find connecting the underlying linear-algebra and probability theory (SVD, PCA, Bayes) to the ML techniques built on top of them, since the exam tests both layers together.
For the full official module breakdown, exam pattern and recommended textbooks, see the KTU GNEST305 syllabus reference page. Looking for tuition across all of Mechanical, not just this one subject? See our KTU Mechanical Tuition page.
Revise Introduction to Artificial Intelligence and Data Science Before Your KTU Exam
Introduction to Artificial Intelligence and Data Science has topics that need multiple revision passes — recorded sessions make pre-exam revision easy.
Session Recordings on Request
Go back to any derivation, proof or worked example right before your GNEST305 exam.
Previous Paper Walkthrough
Tutors solve KTU GNEST305 previous year papers so you understand exactly how questions are framed.
Study on Any Device
Join live sessions from your phone or laptop — no fixed setup required.
Frequently Asked Questions — KTU Introduction to Artificial Intelligence and Data Science
Last updated: July 2026
How to Start Introduction to Artificial Intelligence and Data Science Tuition
Five simple steps from booking to your first live session.
Register for Free
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Select Your Module
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Book Your Free Demo
Schedule a free trial session with a Introduction to Artificial Intelligence and Data Science tutor.
Get Matched with a Tutor
We assign a tutor who knows the KTU GNEST305 exam pattern.
Start Live Sessions
Attend live 1-on-1 classes and clear every module before your KTU exam.
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