981 in-depth articles — from Excel foundations to production machine learning. Filter by topic or difficulty to find exactly what you need.

Tool failures are inevitable in production AI agents — the question is whether your system handles them gracefully or catastrophically. This lesson builds a complete fallback chain framework from error classification through LLM-aware partial result handling, with real code you can deploy today.

Learn how to build a production-grade semantic router that classifies user intent and dispatches queries to specialized handlers. Covers embedding-based and LLM-based classification, hybrid routing with confidence thresholds, and wiring everything to real downstream chains, indexes, and agents.

Most AI projects fail not because of bad prompts or wrong models — but because nobody translated the business need into a clear specification before building. This lesson gives you a complete practitioner's framework for interrogating requirements, decomposing workflows, and writing AI task specs that actually drive successful implementation.

PostGIS turns PostgreSQL into a full-featured spatial database. Learn how to store, index, filter, measure, and join location data using geometry types, spatial predicates, and real-world radius and polygon queries — with production-grade performance patterns included.

Learn how to build a production-grade version governance system in Power Automate that automatically archives document versions, enables self-service restoration, and enforces configurable retention policies across SharePoint sites — with a complete audit trail behind every action.

Building a gallery search that works on 500 rows is easy. Building one that works correctly on 50,000 rows without silently missing records is a different challenge entirely. This lesson teaches you exactly which functions delegate to Dataverse, how to chain StartsWith and Combo Box selections into server-side queries, and how to validate your delegation posture before shipping.

Learn how to build a complete automated intelligence pipeline in Power BI — from threshold alerts and AI-powered anomaly detection to Smart Narratives that generate natural-language explanations and Power Automate flows that deliver insights to stakeholders before they think to ask. This lesson covers production-ready DAX, tuning strategies, and multi-audience routing for enterprise deployments.

Standard DAX aggregations fail when you need to answer "what was happening on this date?" across interval-based data. This lesson teaches the Event-in-Progress pattern — the definitive approach for headcount snapshots, concurrent activity metrics, and any scenario where your data has start dates and end dates instead of point-in-time events.

Drillthrough pages are one of the most powerful — and most misunderstood — features in Power BI. This lesson teaches you how to build production-ready detail views that pass the right filter context, navigate cleanly in both directions, and even bridge across separate report files with cross-report drillthrough.

Power Query M has no native window functions — no OVER, no PARTITION BY, no ROWS BETWEEN. This lesson teaches you to build rolling averages, cumulative totals, partitioned ranks, and lag/lead functions from scratch using M's list operations and grouping patterns, packaged into a reusable function library you can use across any project.

Learn how to build a reusable M code framework that automatically profiles every column in your Power Query pipeline — computing completeness rates, statistical distributions, IQR and Z-score outlier flags, and pass/fail quality gates on every refresh. Stop discovering data problems after the model is built.

Learn how to build a professional Excel task pane using VBA and embedded HTML, creating a persistent side-panel interface with two-way communication between JavaScript and VBA. Go from raw UserForm to a fully styled control panel with live KPIs, navigation, filters, and action buttons.