Deep dives across data, automation & AI

Winning Your First Data Freelance Client from a Warm Network: How to Turn Former Colleagues, Managers, and LinkedIn Connections into Paying Projects Without Feeling Salesy

Your first freelance data client is probably already in your contacts list — they just don't know you're available yet. This lesson gives you a complete system for mapping your network, crafting messages that feel human rather than salesy, and converting warm conversations into paid projects.

How to Turn a Panel Interview Into a Competitive Advantage: Reading the Room, Answering to Multiple Stakeholders, and Following Up Strategically

Most candidates treat a panel interview like five back-to-back one-on-ones. Learn how to read the room in real time, construct layered answers that speak to multiple stakeholders simultaneously, and follow up with individualized messages that reinforce different aspects of your candidacy with each interviewer.

Implementing Change Data Capture with Debezium and Airbyte: Streaming Relational Database Changes into Your Cloud Warehouse

Stop running nightly batch syncs that miss deletes and lag by hours. Learn how to build a production-grade CDC pipeline using Debezium and Airbyte that captures every INSERT, UPDATE, and DELETE from PostgreSQL in real time — and lands it cleanly in your cloud warehouse. This lesson covers the full stack: WAL configuration, connector setup, Kafka topics, and dbt transformation models for both current state and event history.

Building a Pipeline Metadata Store: Tracking Run History, Data Volumes, and Audit Trails for Production Workflows

Most pipelines tell you whether they ran — not whether they did the right thing. This lesson walks you through designing and building a production-grade metadata store in Python and PostgreSQL that captures run history, tracks data volumes, and maintains a full audit trail, all queryable in SQL.

Fine-Tuning Embedding Models on Domain-Specific Data to Improve Retrieval Accuracy in RAG Pipelines

Generic embedding models don't understand your domain's vocabulary, synonyms, or conceptual relationships — and that gap silently kills retrieval accuracy. This lesson teaches you how to fine-tune a sentence transformer on your own data, from synthetic training pair generation to quantitative evaluation and production deployment.

Implementing Query Decomposition and Sub-Question Synthesis for Complex RAG Pipelines*

How to Write an Effective AI Brief: Defining Goals, Constraints, and Success Criteria Before You Prompt

Most AI interactions fail not because of bad prompts, but because of unclear thinking before the prompt is written. Learn how to build an AI Brief — a five-section framework that defines your goals, audience, format, constraints, and success criteria — so every prompt you write starts from a position of clarity.

Incremental Query Design with Watermark Tables and Change Data Capture: Tracking and Processing Only New or Modified Records in SQL Pipelines

Full-reload ETL jobs that process millions of unchanged rows are a solved problem — if you know the patterns. This lesson teaches production-grade incremental pipeline design using watermark tables and Change Data Capture, with complete SQL code for handling updates, deletes, and failure recovery.

Automating Planner Task Creation, Assignment, and Status Updates with Power Automate: End-to-End Project Workflow Integration

Learn how to build a complete Power Automate system that creates Microsoft Planner tasks from SharePoint data, assigns them using identity-aware logic, and keeps status synchronized across your entire Microsoft 365 environment. Goes beyond the basics to cover bucket ID resolution, ETag handling, approval integration, and idempotency patterns you need in production.

Canvas App Formula-Level Audit Logging: Capturing User Actions, Timestamps, and Change History to Dataverse for Compliance and Traceability

Most Canvas Apps rely on Dataverse's built-in audit log — but it doesn't capture business context, before/after field values, or read access. Learn how to build formula-level audit logging directly into your app, producing a rich, queryable change history that satisfies real compliance requirements.

Implementing Power BI Master Data Management with Shared Dimensions: Building a Single Source of Truth for Enterprise Conformed Hierarchies

Conflicting numbers across teams aren't a data quality problem — they're an architecture problem. Learn how to build a full Power BI MDM architecture using conformed dimension dataflows, a certified shared semantic layer, and cross-workspace composite models that give every team the same version of Customer, Product, and Geography.

DAX Many-to-One Aggregations with SUMMARIZECOLUMNS: Building Efficient Query-Ready Measures for Large Data Models

SUMMARIZECOLUMNS is the function Power BI uses to execute every visual query — and most practitioners never learn to write it deliberately. This lesson teaches you to design efficient many-to-one aggregations, add hierarchical subtotals with ROLLUPADDISSUBTOTAL, and build measures that cooperate with the VertiPaq engine instead of fighting it.