Skip to main content
Main menu
Includes navigation links and user settings
Browse products
Sign up
Log in
Master's In Artificial Intelligence - May'25 Batch - NX
Course content
29 sections | 59 lessons
Expand all sections
Link, Passcode & Updates Section
1 Lessons
Introduction and Installation VS Code
2 Lessons
Introduction and Installation of Computer Vision
2 Lessons
Image Basic and shapes
2 Lessons
Mouse actions and blending
1 Lessons
Image Thresholding and Morphological Operations
2 Lessons
Image Smoothing, Histograms and Video Basics
2 Lessons
CV2 (Object, Corner, Edge, Grid and Contour Detection, Template Matching)
2 Lessons
CV2 (Feature Detection and Watershed Algorithms)
2 Lessons
CV2 (Face Detection and Object Tracking)
2 Lessons
CV2 (Object Tracking, Optical Flow, Mean Shift and Cam Shift)
2 Lessons
Object Tracking API, Count Fingers and Face Recognition
3 Lessons
DL (Introduction to Tensor Flow and Artificial Neural Networks)
2 Lessons
Deep Learning - Convolutional neural network
3 Lessons
Recurrent Neural Network
2 Lessons
YOLO Modeling
3 Lessons
YOLO Modelling and Streamlit Basics
2 Lessons
Introduction to Streamlit
2 Lessons
Yolo model deployment with Streamlit
2 Lessons
Introduction to Pytorch
2 Lessons
PyTorch Linear Regression and Classification
2 Lessons
PyTorch -All Classification and ANN Regression
2 Lessons
PyTorch Classification and NLP
2 Lessons
NLP - Restaurant Rating
2 Lessons
NLP - Spam Classification and Sentimental Analysis
2 Lessons
ANN and CNN with MNIST Data Set
2 Lessons
Torch CIFAR CNN
2 Lessons
Git
2 Lessons
Cloud
2 Lessons
₹100,000
one-time purchase
Buy now
