AI & Machine Learning
Generative AI & Large Language Models
How large language models really work — and how to build reliable products on top of them.
5 free lectures$69₹4,499
AI & Machine Learning
Computer Vision
Zoom into an image until it becomes numbers, slide filters across it to find edges, fly through the layers of a convolutional network in 3D, and drag bounding boxes to see how detectors are scored. Build the intuition behind quality inspection, document processing, medical imaging and self-driving perception.
What you’ll learn
- Represent images as tensors and reason about channels, resolution and color spaces
- Explain convolution, stride, padding and pooling, and what learned filters detect
- Describe how CNNs build features from edges to objects
- Train robust classifiers with augmentation and transfer learning
- Evaluate object detectors with IoU, non-maximum suppression and mean average precision
Curriculum
Module 1 · Seeing with numbers
5 lectures- 01Images as numbersInteractiveFree15 min
- 02Convolution and filtersInteractiveFree17 min
- 03Convolutional neural networks3D modelFree19 min
- 04Training image classifiersInteractiveFree18 min
- 05Object detectionInteractiveFree19 min
Module 2 · Beyond classification
5 lectures- 06Image segmentationIncluded with the course
- 07Faces, keypoints and poseIncluded with the course
- 08Video and motionIncluded with the course
- 09Vision transformersIncluded with the course
- 10Generating images: diffusion modelsIncluded with the course
Module 3 · Vision in production
4 lectures- 11Labeling and data pipelinesIncluded with the course
- 12Evaluating vision modelsIncluded with the course
- 13Edge deployment and optimizationIncluded with the course
- 14Responsible computer visionIncluded with the course
Who this course is for
- Engineers adding image or video features to products
- Data scientists moving into vision workloads
- Teams in manufacturing, retail, healthcare or insurance automation
Before you start
Machine Learning Foundations or equivalent. Deep Learning is helpful but not required.
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Training a team on this?
We can combine Computer Vision with other courses into a learning path built around your team’s roles and goals.