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Learn how to design RAG systems that retrieve the right evidence, respect access controls, and stay maintainable as document corpora grow.
Objectives focus on applied outcomes teams can take back into delivery work.
Prerequisites keep cohorts productive without assuming research-level ML backgrounds unless noted.
Module topics show the shape of the program; private agendas can reorder emphasis without dropping outcomes.
Module 1
Module 2
Module 3
Module 4
Duration: 2–3 days · Availability: on demand
Tooling is kept portable so private sessions can map onto platforms your team already runs.
We focus on portable retrieval design. Exercises can use a provided store or map to the platform your team already runs.
We compare when fine-tuning, prompt design, or RAG is appropriate, but hands-on depth stays on retrieval-augmented patterns.
Enough to design reliable ingestion and re-index flows. Deep lakehouse architecture is out of scope unless requested for a private delivery.
Inquire about Retrieval-Augmented Generation and Vector Search
Share cohort size, preferred format, and timing. We will confirm availability and recommend a delivery path — including private corporate options.
