Become a hands-on AI Engineer. This course takes you from the engineering role, Python and the math you actually need, through machine learning in practice (training, evaluation, pipelines), into deep learning, transformers and building real applications with LLMs (prompting, fine-tuning, RAG), and on to productionising AI — MLOps, model serving, scaling, monitoring, cost and security. It finishes with a large interview preparation section: coding, ML, system-design and behavioural Q&A.
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