Forward Deployed
Engineer Mastery.
From engineer to elite field operator. For mid-level engineers (2–8 YOE) breaking into FDE roles at Palantir, Anthropic, OpenAI, Ramp, Scale, and Databricks. Five phases. One capstone. A question bank tuned to the four FDE interview formats.
Mid-level engineer (2–8 YOE) pursuing an FDE role at Palantir, Anthropic, OpenAI, Ramp, Scale, or Databricks.
Licensed finance professional — CPA, FP&A, treasury, corp dev — using domain depth as the wedge into an FDE role.
CFO, controller, partner, finance director — approving the AI roadmap, hiring the people who build it.
Curriculum
See full list- 01
Foundations
- 02
Technical Specialization
- 03
AI / ML Specialization
- 04
Client Engagement and Product
- 05
Portfolio and Job Readiness
Content, not slides.
Directive, not suggestive. Every module names the failure modes, picks an approach when two exist, and ends with a hands-on project that has measurable success criteria — not just a “by the end you’ll understand” line.
Real, reachable URLs only. Vendor primary docs (AWS, K8s, Anthropic Cookbook, Braintrust), canonical books (DDIA 2e), practitioner writing (Pragmatic Engineer, a16z, McCardel, Mabrey). Each entry has a non-generic why this line.
The capstone scores you against ground truth using a causal- uplift metric. The interview bank is weighted toward the customer-scenario and system-design rounds — the formats that most distinguish the FDE loop from a standard SWE interview.
Palantir
Anthropic
OpenAI
Ramp
Scale AI
Databricks