Tensors, autograd, training loops and the core architectures — build MLPs and CNNs from scratch, then with PyTorch.
Full syllabus →Course catalogue
Project-based courses in AI/ML, generative AI & LLM engineering, data engineering, MLOps, computer vision and NLP.
Find your path
Not sure where to start?
Answer four quick questions and we will map a route through the whole catalogue, in the right order. About 30 seconds, and nothing is stored on our servers.
Supervised and unsupervised learning end to end — train, tune, evaluate and explain models with scikit-learn.
Full syllabus →The working toolkit behind every model: NumPy, pandas, and the linear algebra, calculus and probability you actually use in machine learning — taught through code.
Full syllabus →A gentle first course for people who have never programmed: learn Python by building the daily report for a small tea stall, with hundreds of small exercises, and understand the machine your code runs on.
Full syllabus →LoRA / QLoRA, instruction tuning, preference data, and building evaluation suites you can trust before you ship.
Full syllabus →A zero-code, example-rich introduction to RAG: what it is, how every component fits together, how to set up a working pipeline with hosted no-code tools, and how to ship a real assistant as your capstone.
Full syllabus →A 10-week mentor-reviewed course on building production LLM applications: prompting, RAG, tool use, agents, guardrails, evaluation and cost control. Syllabus, prerequisites and capstone brief.
Full syllabus →Chunking, embeddings, hybrid search, re-ranking and evaluation — build a retrieval layer that holds up under real queries.
Full syllabus →Batch and streaming pipelines, orchestration, data quality and feature stores — get clean, reliable data to your models.
Full syllabus →Serving frameworks, batching, caching, quantisation, and the cost / latency trade-offs that decide whether an LLM project is viable.
Full syllabus →Package, deploy, monitor and retrain models with pipelines, containers and CI/CD you can reuse at work.
Full syllabus →Classification, detection and segmentation with modern backbones — data pipelines, augmentation, transfer learning and deployment.
Full syllabus →Combine image and text models: captioning, visual question answering, document understanding and OCR-driven pipelines.
Full syllabus →Tokenisation, attention, pretraining and fine-tuning for classification, extraction and sequence tasks with Hugging Face.
Full syllabus →Build, test and ship a multilingual text product, one feature at a time. Ten weeks, eight modules, real code, and Hindi and Punjabi treated as first-class languages.
Full syllabus →No course matches those filters — try resetting, or ask an advisor.
Free 20-min call
Not sure where to start?
Book a call — we'll look at your background and goals and plan a path that fits.
Talk to an advisorWays to learn
Choose how you attend — your call, not ours
Self-paced
The full recorded library, the browser GPU lab and every project brief — on your own schedule. Add mentor reviews whenever you want them.
Live online
Scheduled virtual classes with real-time Q&A, the full one-mentor-to-eight code review, and a cohort keeping pace with you. Fully remote.
Hybrid — weekend
Recorded core lessons through the week, then live weekend sessions for labs, review and project work. Built around a full-time job.
Live in-person
Classroom cohorts at our centre — in-room instruction, on-site mentor time and a study group, plus everything in the live online format.
Fees
Fees at a glance
India, in rupees, excluding 18% GST. Canadian-dollar fees, instalments and exactly how we set them are on the fees & comparison page.
| Course | Length | Self-paced | Live online | Hybrid weekend | Live in-person |
|---|---|---|---|---|---|
| Applied Computer Vision | 9 wk | ₹11,000 | ₹28,000 | ₹31,000 | ₹36,500 |
| Data Engineering for Machine Learning | 9 wk | ₹11,000 | ₹28,000 | ₹31,000 | ₹36,500 |
| Deep Learning Foundations with PyTorch | 9 wk | ₹11,000 | ₹28,000 | ₹31,000 | ₹36,500 |
| Fine-tuning & Model Evaluation | 7 wk | ₹8,500 | ₹22,000 | ₹24,000 | ₹28,500 |
| Introduction to Machine Learning | 8 wk | ₹10,000 | ₹25,000 | ₹27,500 | ₹32,500 |
| Introduction to Retrieval-Augmented Generation (RAG) | 8 wk | ₹10,000 | ₹25,000 | ₹27,500 | ₹32,500 |
| LLM Application Engineering | 10 wk | ₹12,500 | ₹31,000 | ₹34,500 | ₹40,500 |
| LLMOps & Inference at Scale | 6 wk | ₹7,500 | ₹18,500 | ₹20,500 | ₹24,500 |
| MLOps on the Cloud | 9 wk | ₹11,000 | ₹28,000 | ₹31,000 | ₹36,500 |
| Multimodal & Vision-Language Systems | 6 wk | ₹7,500 | ₹18,500 | ₹20,500 | ₹24,500 |
| NLP with Transformers | 8 wk | ₹10,000 | ₹25,000 | ₹27,500 | ₹32,500 |
| Practical NLP: from messy text to a working product | 10 wk | ₹35,000 | — | — | — |
| Python & Maths for Machine Learning | 8 wk | ₹10,000 | ₹25,000 | ₹27,500 | ₹32,500 |
| Python from zero: your first programs | 11 wk | ₹35,000 | — | — | — |
| RAG & Vector Search in Production | 6 wk | ₹7,500 | ₹18,500 | ₹20,500 | ₹24,500 |
Every course includes graded labs, a capstone review and a certificate. Instalments (up to 3) are available on live formats.