AI-Native Analytics Engineering 

Explore the next frontier of analytics engineering! Learn how to leverage AI capabilities within your data workflows, build intelligent data models, and apply cutting-edge techniques that are shaping the future of data teams.
Length & format

1-day instructor-led training (virtual or on-site)

Why take this course?

Bridge analytics engineering and AI. Learn how to design data models that power intelligent, scalable systems in dbt and Snowflake.

Who is this for?

Analytics engineers, data architects, and technical POs/PMs with foundational dbt and cloud data warehousing skills ready to level up into AI-driven analytics.

What is expected from you?

You already know your way around dbt and could data warehouses. SQL and YAML shouldn’t be new territory.

What you will learn?
  • Integrate AI into dbt workflows
  • Accelerate development with LLM collaboration
  • Leverage dbt Cloud and Snowflake copilots
  • Build Semantic Layers enriched with business context
  • Extend AI capabilities with Model Context Protocol (MCP)
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Build the skills your data team needs to adopt and scale modern analytics and AI-native workflows.
Our experts design and deliver training tailored to your data platform, architecture and use cases.

Hands-on learning

Work through realistic labs and exercises based on modern data team workflows and production environments.

Learn from experts

Our instructors are analytics practitioners who build and run production data platforms.

Built for modern data teams

Learn the practices behind scalable analytics engineering and AI-native data workflows used by leading organizations.

Meet your trainers

Marvin Geerken

Co-founder, Lead INSTRUCTOR
Started in e-commerce before finding his path in data.
After earning a master's in Business Intelligence and Analytics, he joined Scalefree, a consultancy specializing in modern, large-scale enterprise data platforms.
He became a core expert in dbt, Snowflake, and Data Vault - developing automations and leading implementations.
After building a dbt + Data Vault training program, his passion for enablement was sparked, he then went freelance in 2023 to seek independence and greater impact.
Marvin connected with Simo around a shared vision, leading to the founding of Breakout Labs.
He then continues to support enterprise clients like Siemens while co-leading Breakout Labs' training content and delivery.

Gideon Fernandez

INSTRUCTOR
Started as a data consultant at Accenture and
founded his own data consultancy, Velocity Sense, in 2017.
He is based originally in Washington, DC, focused on helping startups and businesses adopt modern analytics stacks.
Working as both a data architect and hands-on engineer, he has delivered end-to-end data projects, enabled companies to run AI-powered analytics from a single source of truth across diverse industries including e-commerce, solar energy, healthcare, marketing, and logistics.
Guided by the principle of "Measure Twice, Cut Once" - prioritizing careful planning over speed, he believes that understanding each business's unique core challenges is the foundation of every successful project.