Advanced Machine Learning and Computer Vision

Deeper architectures applied to images, signals and sensor streams.

What the course covers

8 modules, 32 topics. Open any one to see what sits inside it.

1. 1.1 What deep learning changed, and what it did not
2. 1.2 Representation learning
3. 1.3 Choosing an architecture family for a problem
4. 1.4 Compute, data, and what a model really costs
1. 2.1 Backpropagation and gradient flow
2. 2.2 Initialisation, normalisation and activation
3. 2.3 Optimisers, schedules and batch size
4. 2.4 Diagnosing a training run that will not converge
1. 3.1 Convolution, pooling and receptive fields
2. 3.2 The backbone architectures worth knowing
3. 3.3 Transfer learning and fine-tuning
4. 3.4 Augmentation for image data
1. 4.1 From classification to detection
2. 4.2 Semantic and instance segmentation
3. 4.3 Keypoints, pose and tracking
4. 4.4 Evaluating a vision model properly
1. 5.1 Recurrent models and their limits
2. 5.2 Attention and transformers
3. 5.3 Vision transformers
4. 5.4 Models that combine image and text
1. 6.1 Self-supervised pre-training
2. 6.2 Few-shot and transfer strategies
3. 6.3 Synthetic data and the domain gap
4. 6.4 Active learning and a labelling budget
1. 7.1 Quantisation and pruning
2. 7.2 Distillation
3. 7.3 Inference on constrained hardware
4. 7.4 Throughput, batching and pipelines
1. 8.1 Reproducing a published result
2. 8.2 Ablation studies
3. 8.3 Failure analysis and adversarial cases
4. 8.4 Consent and surveillance risk in vision work

By the end of this course you will be able to explain and apply:

Two hours, not two months Eight short modules. Finish in a day, or do one module a night for a week.

Depth beyond your coursework Pitched above taught content, for research, leadership and the work that follows the degree.

Built for a phone Watch on the bus, pause mid-module, pick up where you stopped. No download, no lab.

A certificate that can be checked Every certificate carries an ID your college or an employer can verify on our site.

About two hours in total — eight modules of roughly fifteen minutes. You can do it in one sitting or spread it across a week. Your place is saved either way.
No. There is no prerequisite course and no software to install. A phone, tablet or computer with an internet connection is enough.
Yes. This course is placed at Master's Degree for India, and the content is written for that level. If you are at a different stage, change your level at the top of the page and the courses will change with it.
A certificate for the course, carrying an ID that your college or an employer can check on our verification page. You keep access to the material afterwards.
Yes — ₹450 for this course on its own, or ₹1,450 for all five in this set, which works out cheaper if you want more than one.
There is a short quiz at the end of each module so you can check what stuck. It is not timed and you can retake it.
Change your country using the picker at the top. Level names, degree names and prices all switch to that country, and the courses adjust to its education system.

Wording shown for India. Pick a different country at the top and the terms, currency and programme names change with it.