AIML 3rd year Notes

This page also contains OPEN ELECTIVE subject PYQs scroll down and click on —>> OE option.

DbMS
3rd year notes
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AI
3rd year notes
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DAA
3rd year notes
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DE-1
3rd year notes
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DE-2
3rd year notes
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COI
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EITK
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SE
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MLT
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CN
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OE-1
3rd year notes
available
DE-3
3rd year notes
available

AIML 3rd Year Notes
Get Complete Previous Year Question Papers for AI & ML Students (AKTU)

Are you pursuing a B.Tech in Artificial Intelligence and Machine Learning (AIML) under AKTU and currently in your 3rd year? Finding reliable and semester-wise previous year question papers (Notes) is essential for effective exam preparation. To make your academic journey easier, www.notesgallery.com brings you a dedicated section of AIML 3rd Year Notes, specially curated as per AKTU syllabus and structure.

Understanding the kind of questions that appear repeatedly in exams helps boost confidence and performance. Whether it’s concept-based theoretical questions or problem-solving numericals, our collection at Notes Gallery ensures that you get all the important past questions semester-wise, paper-wise, and subject-wise. Here’s a complete overview of subjects covered in both semesters of the 3rd year AIML program at AKTU.

5th Semester AIML Subjects (AKTU)

The 5th semester of AIML under AKTU focuses on developing fundamental skills in artificial intelligence, database systems, and algorithms. Below are the core and elective subjects covered:

Database Management System

Artificial Intelligence

Design and Analysis of Algorithm

Departmental Elective-I
(Choose from: Mathematical Foundation AI, ML and Data Science, Data Warehouse & Data Mining, Data Analytics, Object Oriented System Design with C++)

Departmental Elective-II
(Choose from: Cloud Computing, Natural Language Processing, Application of Soft Computing, Image Processing)

Database Management System Lab

Artificial Intelligence Lab

Design and Analysis of Algorithm Lab

Mini Project or Internship Assessment

Constitution of India / Essence of Indian Traditional Knowledge

These subjects form the backbone of the AI domain and are crucial for final-year internships and placements. For each subject mentioned above, we have uploaded the most relevant and recent Notes as per AKTU’s official exam papers.

6th Semester AIML Subjects (AKTU)

The 6th semester further dives into advanced AI topics like machine learning and networks, preparing students for industry projects. Below are the subjects in Semester 6:

Software Engineering

Machine Learning Techniques

Computer Networks

Departmental Elective-III
(Choose from: Cyber Forensic Analytics, Image Analytics, Social Media Analytics and Data Analysis, Stream Processing and Analytics)

Open Elective-I

Software Engineering Lab

Machine Learning Lab

Computer Networks Lab

Constitution of India / Essence of Indian Traditional Knowledge

All these subjects are vital for competitive exams, final-year interviews, and GATE/AI-driven career roles. At Notes Gallery, you can access semester-wise Notes, specially formatted to match AKTU’s official exam pattern.

Why Trust NotesGallery.com for Notes?

100% accurate and verified AKTU exam papers

Easy download in PDF format

Covers all electives and lab assessments

Highlighted important questions from repeated papers

Direct link to AKTU official site: https://aktu.ac.in

Whether you’re struggling with Machine Learning algorithms or preparing for Software Engineering viva, our past year questions are designed to make revision smarter and faster.

Bonus: Tips to Use Notes Effectively

Sort Notes subject-wise to focus on weak areas first.

Solve the last 3–5 years of papers repeatedly.

Time yourself while attempting to simulate real exam conditions.

Mark frequently repeated questions for last-minute prep.

Cross-check answers with your notes or AKTU textbooks.

Download AIML 3rd Year Notes Now

Stop the endless scrolling on WhatsApp groups and Telegram channels. Download your required Notes for AIML 5th and 6th semesters directly from www.notesgallery.com and stay one step ahead of the crowd.

Let your preparation be smart, structured, and AKTU-aligned.

Disclaimer

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