Data Engineering & Analysis AI Journey
A 12-week learning journey to transform data engineering and analysis using AI tools. Six sprints from context engineering to capstone.
Context Engineering
Structure schema docs, metric definitions, and business rules so AI produces accurate queries and analysis on the first try.
Weeks 1-2
Workflow Automation
Generate SQL with AI, automate report drafts, build dashboard narrative generation, and streamline ETL code.
Weeks 3-4
Agentic Patterns
Build autonomous data quality agents, pipeline monitoring agents, and multi-step investigation workflows.
Weeks 5-6
Integration & Systems
Connect AI to BI tools, data catalogs, and pipeline orchestration. Build automated data documentation.
Weeks 7-8
Advanced Application
Tackle complex analysis with AI: predictive modeling, causal inference, experiment design, and architecture decisions.
Weeks 9-10
Capstone & Transfer
Build a reusable analysis tool, automated insights system, or team template library.
Weeks 11-12