Your roadmap · आपका रोडमैप
- 1
Admission & first meetingप्रवेश और पहली मुलाकातEnquire at your nearest NDSS centre, meet the teacher, fix the batch time and get your study material.
- 2
Work planकार्य योजनाStep by step with your guide / trainer.
Python for AIUninformed SearchInformed SearchGame PlayingLogic and Knowledge RepresentationMachine Learning with scikit-learn
- 3
File, report & vivaफ़ाइल, रिपोर्ट और वाइवाPractical file / report checked, mock viva before the final one.
- 4
Online tests & resultऑनलाइन टेस्ट और रिज़ल्टTake the tests online; your marks and result show in your student login and at the centre.
सिलेबस · पाठ्यक्रम
1 subject · 6 chapters · 19 topics
01Python for AI
3 टॉपिक+
- Python lists, dictionaries and functions
- NumPy, pandas and matplotlib basics
- Jupyter notebooks
02Uninformed Search
4 टॉपिक+
- Water jug problem with BFS
- 8-puzzle with BFS and DFS
- Missionaries and cannibals
- Iterative deepening search
03Informed Search
3 टॉपिक+
- A* search for 8-puzzle with Manhattan distance
- Greedy best-first search
- Hill climbing and the 8-queens problem
04Game Playing
2 टॉपिक+
- Tic-tac-toe with minimax
- Alpha-beta pruning
05Logic and Knowledge Representation
3 टॉपिक+
- Prolog facts, rules and queries (family tree)
- Forward chaining in Python
- Simple Bayesian network calculation
06Machine Learning with scikit-learn
4 टॉपिक+
- Train-test split and decision tree classifier
- Naive Bayes and k-nearest neighbours
- K-means clustering
- Accuracy and confusion matrix
About this course
आप यह कर पाएँगे
- Use Python with NumPy, pandas and matplotlib for AI programs
- Solve water jug, 8-puzzle and missionaries-cannibals problems with BFS and DFS
- Implement A* and hill climbing with heuristics
- Write a tic-tac-toe player using minimax and alpha-beta pruning
- Write simple Prolog / Python programs for facts, rules and queries
- Train and evaluate classifiers and clustering with scikit-learn
यह किसके लिए है
- B.Tech Computer Science & Engineering, Information Technology students of Semester 7 (AKTU)
- Students of other universities studying the same subject who want unit-wise coaching
आपको क्या चाहिए
- Artificial Intelligence theory of the same semester
- Python basics; a PC with Python 3 and Jupyter
Online tests & result
Practice and unit tests online; marks and result show in your student login and at the centre.
Student login →
सवाल
Which syllabus does the Artificial Intelligence Lab course follow?
It follows the AKTU (Dr. A.P.J. Abdul Kalam Technical University, Lucknow) B.Tech syllabus for Artificial Intelligence Lab. If your own university's syllabus differs, the centre follows your university syllabus.
Will this help in the university examination?
Yes. Teaching is unit-wise as per the AKTU scheme, with previous-year question practice, MCQ tests and doubt sessions before the semester exam.
Do I need a powerful computer?
No. All lab programs run on a normal laptop with Python, or free online on Google Colab.
