Data provenance and access / Chunking baselines
Apply and independently verify data provenance and access and chunking baselines.
Compare retrieval configurations using held-out answers, evidence checks and measured cost and latency. Proposed programme; academic approval and batch confirmation pending.
Compare retrieval configurations using held-out answers, evidence checks and measured cost and latency.
Proposed curriculum · academic approval pendingCore learning areas at a glance. Detailed units and teaching plans are in the private learning workspace.
Apply and independently verify data provenance and access and chunking baselines.
Apply and independently verify retrieval and reranking comparisons and reference answers and evidence.
Apply and independently verify abstention and hard cases and held-out regression evaluation.
Apply and independently verify cost latency and failure analysis and evaluation capstone defence.
Python functions, APIs, JSON and Git plus an existing AI assistant; assessed diagnostic before entry. Use approved accounts and synthetic data. Confirm platform licensing, age requirements and lab access before joining.
Build, check and explain your work with trainer feedback. Certificate and assessment terms are confirmed by the institute.
Detailed syllabus and weekly plans are available to authorised staff and learners enrolled in this course.