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🎓 Grapefruit · The Accelerator

BI & AI Training

Hands-on training in AI workflows for business intelligence and product development teams.

Plan a training → Read our Insights →

50+

semantic models shipped

20+

practitioner guides published

3

teaching languages

From our team's experience and our Insights.

In practice

Screens marked “Sample” use made-up companies and numbers.

📊 Business intelligence teamsSample

An AI agent working on your semantic model

Cursor · SalesSemanticModel · agent mode
you Add a YoY revenue growth measure with proper time intelligence. Follow our naming convention.
Reading model/relationships.tmdl… found Date → Sales[OrderDate]
Creating measures/Revenue YoY Growth.tmdl:
Revenue YoY Growth =
DIVIDE([Revenue] - [Revenue PY], [Revenue PY])
Added Revenue PY (hidden) as dependency · validated DAX syntax
✓ Ready for PR, 2 files changed, naming convention matched

🚀 Product development teamsSample

From spec to production, with people in charge

From spec to production, with people reviewing every step
📝
Spec
Scope + project rules
→
🤖
Coding agent
Plan + implementation
→
🧪
Tests
Written + run in CI
→
🔍
Pull request
Engineer approves
→
🚀
Deploy
Preview, then production

🌿 FoundationsSample

Git and CI/CD for Fabric

fabric-bi-repo · main · GitHub Actions
🌿
Feature branch
feat/revenue-model
→
🔍
PR review
DAX diff + tests
→
⚙️
GitHub Action
Validate TMDL
→
🏗️
Fabric Dev
Auto-sync
→
🚀
Deploy pipeline
Dev → Prod

Semantic model changes are reviewed in Git before production, so every measure change is traceable.

📅 ProgramsSample

Five days, built around your work

Business intelligence team · 5 days
DayTopicYour team leaves with
1AI agents on semantic modelsAgent playbook
2DAX and measures with reviewNaming + review rules
3AI-assisted report designReport templates
4Git for models and reportsWorking repository
5Sprint on your own backlogChanges ready to ship
Product development team · 5 days
DayTopicYour team leaves with
1Project rules and contextShared agent rules
2From spec to pull requestSpec template
3Tests and AI-assisted reviewReview checklist
4Secrets, security, data accessGuardrails
5Sprint on your own backlogFeatures ready to ship

AI workflows, by team

For business intelligence teams

  • AI agents for semantic models, DAX, and measures
  • AI-assisted report layout and themes
  • Metadata that helps Copilot answer correctly
  • Git review for AI-generated changes

For product development teams

  • From spec to pull request with coding agents
  • Shared project rules and agent playbooks
  • AI-assisted code review and test writing
  • Guardrails for secrets, security, and data access

The foundations underneath

Power BI & Fabric

  • Data modeling and DAX that stays fast
  • Fabric workspaces, capacity, and governance
  • Report design people actually read

Git & delivery

  • PBIP vs. Git integration vs. PBIX
  • GitHub, pull requests, and branching
  • Deployment pipelines and CI/CD

By the hour or as a package

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