AI / ML Engineer
Build intelligent systems with machine learning, deep learning, and generative AI.
Foundations
Build a strong foundation in modern web development before moving into advanced technologies.
Solidify real-world Python with clean code, libraries, error handling and best practices.
Python Programming
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Refresh the linear algebra, calculus and statistics that power modern machine learning.
"NumPy & Pandas" — a focused step covering the essentials, practical skills and real-world application of this topic.
Core Skills
Apply your foundations to build real projects with modern frameworks and tools.
Train and evaluate models with scikit-learn — regression, classification, clustering and pipelines.
AI & Machine Learning Complete
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Build neural networks with frameworks like PyTorch or TensorFlow and train them on real data.
AI & Machine Learning Complete
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Make machines see — image processing, CNNs, object detection and modern vision pipelines.
Advanced
Master production-grade skills and deploy real-world applications.
Process and understand human language with tokenisation, embeddings, transformers and LLM APIs.
Work with large language models and diffusion models — prompt engineering, RAG and fine-tuning.
Take models to production — versioning, serving APIs, monitoring and maintaining ML systems.