Quicker time to autonomy
on Foundry.
AI FDE accelerates how fast your team reaches independence.
5 structured days to go from onboarding to building autonomously on your own platform.
Contextualized to your industry.
Foundry is intuitive. Autonomy takes time.
The platform is well-designed. Smart engineers get started quickly. But operating with confidence across the full surface: pipelines, ontology, applications, AIP Logic, governance: that builds over months of hands-on experience.
Teams typically need several months before feeling autonomous. That's not a flaw. It's the nature of a deep platform.
AI FDE changes the equation. We structure that acceleration into 5 focused days.
Where teams feel the gap
AI FDE changes the equation.
5 days to autonomy.
Every exercise solves a business problem. Every day produces a tangible output on your own platform. Click a day to explore.
How AI FDE works: 6 modes (auto-selected based on your request), toggleable skills (planning, filesystem, context management, clarification), and context window mechanics. First builds: a lightweight Polars transform and a Pipeline Builder flow, both via AI FDE.
Under the Hood
- •What tools each AI FDE mode invokes
- •Recognizing and redirecting wrong-mode selections
- •Hands-on verification: snapshot vs incremental semantics, permissions, transactions
What You Leave With
- •First Polars transform + Pipeline Builder flow via AI FDE
- •Mental model of modes, skills, and context management
Transforms via AI FDE in Code Repositories. Incremental logic, data expectations, scheduling.
Under the Hood
- •How AI FDE generates Code Repository transforms
- •Incremental vs snapshot semantics in practice
- •Validating AI FDE-generated code against your data
What You Leave With
- •A 3-transform pipeline solving a real data challenge
- •Expectations and project-scoped scheduling configured
Object types, links, actions, writeback. Governance: markings, restricted views, API naming. AI FDE accelerates scaffolding; design decisions and business modeling remain yours.
Under the Hood
- •How AI FDE scaffolds ontology objects
- •Where naming, linking, and governance need your intervention
- •Real-world governance patterns from production deployments
What You Leave With
- •A linked ontology with working actions
- •Anchored on a business use case from your domain
OSDK-powered applications and AIP Logic functions via AI FDE. AIP Evals for regression testing. Agent Studio taught hands-on as a standalone tool (not AI FDE-powered).
Under the Hood
- •How OSDK connects front-end to ontology
- •How AIP Logic executes on objects
- •Agent Studio as a complement to AI FDE in agentic workflows
- •How Evals catch prompt drift
What You Leave With
- •A functional OSDK app or AIP Logic function with eval coverage
- •Hands-on experience with Agent Studio
Full pipeline: source to transform to ontology to application. Teams build a complete solution on their own data, validating every layer AI FDE produces.
Under the Hood
- •Full platform trace: data flow from source to user-facing output
- •Where to look when something breaks
- •Debugging patterns for production readiness
What You Leave With
- •A demo-ready end-to-end solution on your platform
For anyone ready to go deeper.
New Foundry Teams
Structured guidance instead of 'here are the docs, good luck'
Engineers from Other Platforms
Coming from Databricks, Snowflake, or Azure and need Foundry-specific fluency
Expanding into AI
Teams moving from data engineering into applications and agentic workflows
Analysts
Non-technical users discovering what AIP Analyst makes possible
Your platform. Your data.
Format Options
Scope Your Training Week
Tell us your team composition, current platform experience, and objectives. We'll scope a tailored training week within 48 hours.
Practitioner-led. AI FDE-native.
Practitioner-Led
AI-native instructors with 4+ years production experience. Gotchas, performance traps, and governance patterns from deployment reality.
Your Platform, Your Data
Every exercise on your Foundry instance, your data, your ontology, your security policies. No sandboxes.
Industry-Contextualized
Use cases sourced from Insurance, Financial Services, Energy, Manufacturing, and Supply Chain. Ontology models, pipelines, and applications reflect your operational reality.
Full 2025+ Stack
AIP Logic, Agent Studio, OSDK, AIP Evals, Pipeline Builder, Code Repositories. The complete modern toolkit.
AI FDE selects modes automatically based on your request. Each mode activates specific platform tools. On top of that, toggleable skills (planning, filesystem, context management) shape how AI FDE approaches tasks.
Most users treat AI FDE as autocomplete. The real skill: recognizing when it's in the wrong mode, knowing how to redirect it, and managing context so sessions stay productive.
AI FDE generates based on documented patterns. What it can't do: test on your data, verify your enrollment configuration, or confirm the design fits your business problem. That's your job, and we teach you how.
Context Management
The #1 practical AI FDE skill. Long sessions degrade quality. Fresh sessions for new tasks. Provide RIDs upfront.
Treat each session as a focused sprint, not an open-ended conversation.
Ready to accelerate your Foundry team?
Tell us your team's experience level and objectives. We'll scope the right AI FDE Mastery package.