Production RAG application
A retrieval-augmented system covering document processing, embeddings, hybrid search, reranking and evaluation.
A look at how program concepts translate into real, hands-on work. More case studies from our learners are on the way.
A retrieval-augmented system covering document processing, embeddings, hybrid search, reranking and evaluation.
A multi-service application containerised and deployed on Kubernetes, including scaling and rolling updates.
An automated delivery workflow from source control through build, test, containerisation and deployment.
Provisioning and configuring cloud infrastructure repeatably, with monitoring built in from the start.
A LoRA/QLoRA fine-tuned open-weight model specialised for a domain use case, evaluated against prompting and RAG baselines before deployment.
The same workload provisioned and deployed on both AWS and Azure, with networking, IAM and cost awareness handled on each platform.
These are program project examples used to illustrate what learners build, not client engagements. Verified learner outcomes will be added here as they become available.