Intermediate Free 6 modules · ~90 min Course 11

Forward Deployed Engineer

The role that ships enterprise AI in weeks, not years. Learn how FDEs scope customer problems, build rapid pilots, deliver demos that earn trust, and hand off work that survives beyond the engagement.

Start Module 1 All courses
What you will be able to do
✓Explain the FDE role and how it differs from sales engineering and traditional consulting
✓Run a discovery sprint using five questions that expose the real customer problem
✓Scope and build an AI pilot using the 80/20 rule for on-site work
✓Deliver a demo that earns customer trust without over-committing to scope
✓Document and hand off work so the product team can own it without a zombie pilot
✓Map a personal playbook across deployments to grow as an FDE over time
Is this course for you?
Good fit
  • Software engineers moving into customer-facing AI roles
  • Solutions engineers who want to build, not just advise
  • AI consultants who need a structured deployment framework
  • Product managers working with FDE teams at AI vendors
Less relevant
  • Researchers building new model architectures
  • Data scientists focused on offline training pipelines
  • Executives seeking a high-level AI strategy overview
Prerequisite: Comfort with Python and a basic understanding of how LLMs work. If you are new to AI systems, consider starting with Prompt Engineering Fundamentals or AI Agents and Agentic Systems first.
Course modules
01
What Is a Forward Deployed Engineer?
The role, the mindset, the Palantir origin, and why FDEs exist: enterprise AI needs translation between what a product can do and what a customer actually needs.
15 min
→ 02
The Discovery Sprint
How FDEs scope customer problems in 24 to 72 hours. Five questions that expose the real ask. Reading the room in stakeholder interviews.
15 min
→ 03
Building the Pilot
Rapid AI prototyping on-site. What "good enough" means before trust is established. The 80/20 rule for pilot scope. Avoiding the trap of over-engineering.
15 min
→ 04
The Demo That Closes
How FDEs present work to earn customer trust. Showing process, not just output. Handling "can you do X?" live. The difference between a demo that informs and one that commits.
15 min
→ 05
Handoff and Productization
When to pass work to the product team. How to document what you built. The FDE-to-PM handoff protocol. Avoiding the zombie pilot problem.
15 min
→ 06
Growing as an FDE
How top FDEs build domain depth while staying technically sharp. The FDE career ladder from IC to team lead. Building a personal playbook across deployments.
15 min
→
Capstone Challenge
Build Your FDE Scoping Document
Take a real enterprise AI problem you know (or a plausible scenario), write a one-page FDE scoping document using the discovery framework from Module 2, then sketch the pilot architecture from Module 3.
View capstone brief
The 6-part blog series
What Is a Forward Deployed Engineer?
Role overview · 12 min read
How to Become a Forward Deployed Engineer
Career guide · 13 min read
A Day in the Life of a Forward Deployed Engineer
Career · 12 min read
Forward Deployed Engineer vs. Sales Engineer: The Real Difference
Role comparison · 11 min read
The Skills a Forward Deployed AI Engineer Actually Needs
Skills · 12 min read
How Forward Deployed Engineers Ship Enterprise AI
Enterprise AI · 13 min read
Work with Arjun Jaggi
Need an FDE for your enterprise AI deployment?
Arjun Jaggi works directly with enterprise teams on AI pilot scoping, rapid prototyping, and deployment. If you need someone who can embed, build, and hand off, schedule a conversation.
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