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Advanced AI and Deep Learning Program covering NLP, Generative AI and Mathematical Foundations

4.3(7)
₹9 per class
Teaches in English & Tamil

My Classes will focus on strong conceptual understanding, starting from fundamentals and gradually moving to practical applications. Real-world examples, diagrams, problem-solving, and exam-oriented explanations are emphasized. Sessions are interactive, student-friendly, and customized based on the learner’s background. I will teach Neural Networks and deep learning, Artificial intelligence, Data analytics based on student needs. 

Janarthan K

Janarthan K, M.Tech Software Engineering (VIT)

4.3(7)
4 years Exp.

Overview

Live Class

Meet over live video meetings

1:1 Classes

60 min per class

Personal Attention

One-on-one focused learning

Flexible Schedule

Book at your convenience

Choose a recurring plan and lock in your slots - save up to 15%

Flexible scheduling
60 min per class
₹9 per class
Age All
Live 1-on-1 tutoring

Book a trial class to meet your tutor and experience our personalized learning approach.

Class Timings (Paid)

2026 Apr

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Available Times - Apr 4

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Class Timings (Paid)

2026 Apr

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Taught By

Janarthan K

Janarthan K

M.Tech Software Engineering (VIT)

Janarthan K intro

About

I specialize in Python, Machine Learning, Deep Learning, Statistics, and Generative AI. I have trained over 300 students and focus on building strong mathematical foundations along with practical, hands-on understanding so learners truly grasp how and why concepts work.

Experience:
4 years experience
Qualifications:
M.Tech Software Engineering (VIT)
Specialties:
Machine Learning

350+

Students Taught

4+

Years Experience

94%

Satisfaction Rate

Frequently Asked Questions

Tutors often begin with simple explanations and examples so students can understand how AI systems make decisions or recognize patterns.
Prior coding knowledge is not always required, and tutors may introduce basic programming concepts if needed before moving to advanced topics.
Complex ideas are usually explained step by step with examples and demonstrations so students can understand the underlying concept.
Classes may include small projects or exercises where students explore how simple AI models or programs work.
Tutors may discuss real-world examples such as recommendation systems, voice assistants, or image recognition to help students understand AI applications.
If needed, tutors may review basic programming or logic concepts so students feel more comfortable with the topic.
Tutors usually observe how comfortable the student is with the topic and may adjust the pace of explanation or activities where needed.
Classes may include discussions about how AI technologies are used in everyday digital tools and applications.
Tutors may guide students through logical steps used in problem solving so they can understand how algorithms work.
Parents can usually ask the tutor about the topics or projects discussed so they have a general idea of the student’s learning progress.
Flexible scheduling
60 min per class
₹9 per class
Age All
Live 1-on-1 tutoring

Book a trial class to meet your tutor and experience our personalized learning approach.

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