AIXL Academy
Data Engineers, Data Scientists & Analytics Leads

For Data Teams & Engineers

Build the high-throughput data pipelines, vector indexes, and evaluation layers AI systems demand.

Solution Overview

Data teams are the foundation of enterprise AI. AIXL programs equip data engineers to construct robust vector database schemas, hybrid search pipelines (SQL + Vector + Knowledge Graph), and continuous evaluation frameworks.

Target Capability Outcomes

Architect hybrid search pipelines combining SQL, Vector search, and Knowledge Graphs.
Implement automated embedding generation and vector database index optimizations.
Design LLM evaluation frameworks (RAGAS, TruLens) to benchmark retrieval accuracy.
Maintain strict data lineage and access control across RAG data stores.
Support high-concurrency production AI agent workloads with low-latency data layers.
Curriculum Roadmap

Recommended Live Workshops & Cohorts

Forward-Deployed AI Engineering (30-Hr Live)

Deep dive into vector indexing, embedding pipelines, and production RAG architecture.

Advanced Claude 3.7 & Claude Code SDLC

Master context window management, structured JSON outputs, and LLM evaluation loops.