AIML 3rd Year PYQs

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 (PYQs) is essential for effective exam preparation. To make your academic journey easier, www.notesgallery.com brings you a dedicated section of AIML 3rd Year PYQs, 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 PYQs 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 PYQs, specially formatted to match AKTU’s official exam pattern.

Why Trust NotesGallery.com for PYQs?

• 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 PYQs Effectively

1. Sort PYQs subject-wise to focus on weak areas first.

2. Solve the last 3–5 years of papers repeatedly.

3. Time yourself while attempting to simulate real exam conditions.

4. Mark frequently repeated questions for last-minute prep.

5. Cross-check answers with your notes or AKTU textbooks.

Download AIML 3rd Year PYQs Now

Stop the endless scrolling on WhatsApp groups and Telegram channels. Download your required PYQs 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.