Self-paced, project-based courses on Snowflake, Databricks, Microsoft Fabric, Python, and applied AI — built and taught by someone who holds the certs and ships the platforms. No toy datasets, no theory dumps: real code you can use Monday morning.
These courses are written by a practitioner with SnowPro Core and 2× Databricks certifications who designs and migrates production data platforms — so what you learn is what actually works in production.
Every course is built around a real end-to-end build — pipelines, lakehouse architectures, migrations, and AI systems using production-grade patterns and code.
SnowPro Core + 2× Databricks certified, and fact-checked against current vendor docs — so you are not learning syntax that was deprecated two releases ago.
A learning path that takes you from your first query to defending platform decisions in an architecture review — across Snowflake, Databricks, and Fabric.
A selection from the full catalog of 40+ courses. Browse everything on the Academy.
From your first query to production architecture: warehouses, data modeling, Streams & Tasks, governance, and Cortex AI.
Become the architect who chooses the right platform, designs for cost and AI-readiness, and defends every decision. Vendor-neutral.
Apache Spark, Delta Lake, Unity Catalog, and workflows on the Databricks Lakehouse — build scalable ETL and ship pipelines to production.
The open table format that decouples storage from engine — Iceberg internals, catalogs, and cross-engine production patterns.
Build the data pipelines that power RAG and agents — chunking, embeddings, vector stores, and retrieval-grade data quality.
Use Claude end-to-end on real data work — API, agents, RAG, and the workflows that actually save you hours. Build what used to take teams.
Write the production-grade Python behind pipelines that run at scale — packaging, testing, performance, and the patterns FAANG teams rely on.
Build a unified analytics platform end-to-end on Microsoft Fabric — OneLake, Lakehouse, Warehouse, pipelines, real-time, and Power BI.
Data architect and educator with 20+ years in enterprise data engineering. SnowPro Core and 2× Databricks certified. Every course reflects real, hands-on platform work — not repackaged documentation.
Verified Snowflake credential — backing the Snowflake architecture, performance, and cost-optimization courses.
Databricks credentials covering the Lakehouse, Spark, Delta, and Unity Catalog material taught across the Databricks track.
Courses are built from production patterns and current vendor docs — what works on the job, kept current as platforms change.