Foundations
Python & Maths for Machine Learning
NumPy, pandas, linear algebra, calculus and probability — the working toolkit behind every model, taught through code.
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Course catalogue
Every course is part-time and mentor-reviewed, runs in your browser on our GPUs — one click, nothing to install — and is built around real project work with a capstone tied to a live role. Filter by track, then apply to the cohort that fits your goal.
12 courses shown
Foundations
Introduction to Machine Learning
Supervised and unsupervised learning, model evaluation, and the scikit-learn workflow. Train, tune and explain your first models.
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Foundations
Deep Learning Foundations with PyTorch
Tensors, autograd, training loops, and the core architectures. Build MLPs and CNNs from scratch, then with PyTorch.
IntermediateEnquire →
GenAI & LLM
LLM Application Engineering
Prompt design, retrieval-augmented generation, tool use, agents, guardrails, evaluation and cost control — ship an LLM product end to end.
IntermediateEnquire →
GenAI & LLM
RAG & Vector Search in Production
Chunking, embeddings, hybrid search, re-ranking and evaluation. Build a retrieval layer that holds up under real queries.
IntermediateEnquire →
GenAI & LLM
Fine-tuning & Model Evaluation
LoRA/QLoRA, instruction tuning, preference data, and building evaluation suites you can trust before you ship.
AdvancedEnquire →
Data & MLOps
Data Engineering for Machine Learning
Batch and streaming pipelines, orchestration, data quality and feature stores — get clean, reliable data to your models.
IntermediateEnquire →
Data & MLOps
MLOps on the Cloud
Containerise, deploy, monitor and retrain models with CI/CD, model registries and observability you can reuse at work.
AdvancedEnquire →
Data & MLOps
LLMOps & Inference at Scale
Serving frameworks, batching, caching, quantisation, cost/latency trade-offs and monitoring for LLM workloads.
AdvancedEnquire →
CV & NLP
Applied Computer Vision
Classification, detection and segmentation with modern backbones. Data pipelines, augmentation, transfer learning and deployment.
IntermediateEnquire →
CV & NLP
NLP with Transformers
Tokenisation, attention, pretraining and fine-tuning for classification, extraction and sequence tasks with Hugging Face.
IntermediateEnquire →
CV & NLP
Multimodal & Vision-Language Systems
Combine image and text models: captioning, visual question answering, document understanding and OCR-driven pipelines.
AdvancedEnquire →
Not sure which course is right?
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