AI Data Platform Essentials

The definitive orientation for teams onboarding to a cloud-native AI data platform. We cover how all the layers fit together — data ingestion, the governed data lake, transformation, semantic layer, and AI activation — so every person on your team understands the full picture and their role in it.

  • AI data platform architecture end to end
  • Data lake, warehouse, and lakehouse concepts
  • Data governance, security, and access control
  • How AI agents consume your data platform
  • Working with your semantic layer and BI tools
Duration: 2-3 days

dbt for Analytics Engineers

The hands-on dbt workshop for teams who want to move from copy-pasted SQL scripts to production-grade, tested, documented data models. Covers everything from project setup to advanced patterns used in real production environments.

  • dbt project structure & best practices
  • Advanced modeling techniques & patterns
  • Testing, documentation & contracts
  • CI/CD for dbt with Git
  • Performance optimization & cost control
Duration: 2 days

Snowflake Data Engineering

A deep-dive workshop on building, optimizing, and governing data on Snowflake. Built for engineers who are new to Snowflake or want to level up from the basics to production-grade patterns.

  • Snowflake architecture & virtual warehouses
  • Data loading, transformation & sharing
  • Performance tuning & query optimization
  • Security, governance & RBAC
  • Cost monitoring & optimization
Duration: 2-3 days

AI Agents & LLM Applications

A practical workshop for data and engineering teams ready to build real AI applications — not just prompt in a chatbot. We cover the architecture of AI agents, RAG pipelines, and how to connect LLMs to your actual data and systems.

  • LLM fundamentals & model selection
  • Retrieval-augmented generation (RAG)
  • Building AI agents with tool use
  • Connecting LLMs to your data platform
  • Evaluation, safety & production deployment
Duration: 2-3 days

Data Governance & Quality

Governance doesn't have to mean bureaucracy. This workshop teaches your team practical frameworks for keeping data trustworthy at scale — the tooling, the processes, and the culture required to make it stick.

  • Data governance frameworks & ownership models
  • Data quality testing strategies
  • Lineage, cataloging & discoverability
  • Compliance, security & access control
  • Building a data quality culture
Duration: 2 days

Custom Training Programs

Your team has a specific stack, specific gaps, and specific goals. We design custom training programs around your actual environment — using your data, your tools, and real problems your team is trying to solve.

  • Skills assessment & curriculum design
  • Hands-on labs using your own data
  • Role-specific tracks (engineers, analysts, leaders)
  • Certification preparation & exam coaching
  • Post-training mentorship & office hours
Duration: Custom

How We Train

Real Work, Not Toy Examples

Every workshop uses real production scenarios — not sanitized demos. Your team learns by solving the kinds of problems they'll face on Monday morning.

Taught by Practitioners

Our instructors aren't full-time trainers. They're engineers and architects who build data platforms every day and bring those real-world patterns into the classroom.

Built Around Your Stack

We tailor every session to the specific tools, patterns, and challenges your team works with — so training transfers directly to your day-to-day work.

Ongoing Reinforcement

Learning doesn't end when the workshop does. Every engagement includes follow-up resources, office hours, and access to our team when questions come up in the real world.

Ready to Level Up Your Data Team?

Tell us where your team's gaps are — we'll design a training program that closes them, using your actual stack and real-world scenarios.

Design Your Training Program