AI Infrastructure Series

Build the infrastructure that puts AI into production with our AI Infrastructure Series. These hands-on courses cover the full lifecycle - training machine learning models, fine tuning large language models, optimising inference, and deploying and operating it all reliably at scale.

You will work with PyTorch and modern ML frameworks, fine tune open source LLMs on your own data, serve models efficiently with vLLM and local deployment, and apply MLOps practices to containerise, orchestrate and monitor AI workloads in production. The series also spans the major cloud AI and machine learning certification tracks across Microsoft Azure, AWS and Google Cloud. Ideal for machine learning engineers, data scientists, MLOps and platform engineers who want to take AI models from notebook to production.