Anthropic Forward Deployed Engineer - Forward Deployed Engineer for AI Systems

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Forward Deployed Engineer for AI Systems

1.Foundations of Forward Deployed Engineering

Who Is a Forward Deployed Engineer?Getting Started with This Course

2.The FDE Engagement Lifecycle

Running Customer Discovery Scoping and Solution Architecture The Proof of Concept (POC) Sprint The Pilot Phase The Project Handoff The Field Feedback Loop

3.AI Systems Architecture

The AI System Landscape LLM-Based Systems Harness Engineering: Tools, Memory, and Context Harness Engineering: Guardrails, Observability, and Review Multi-Agent Orchestration Patterns Choosing an Agentic Framework

4.FDE Interview Fundamentals

How FDE Interviews Work The Four Interview Rounds How FDE System Design Rounds Work The CLIENT Approach for FDE System Design Running an FDE Design Round Choosing How Data Moves Between Systems Bridging Authentication Across Systems Handling Failures, Rate Limits, and Silent Errors Data Contracts, Validation, and Schema Changes Designing for Client Security and Deployment Environments Practice Rounds and Self-Review Rubric

5.Case Study: Financial Knowledge Assistant

Decomposing the Problem: The RAG System System Design: The RAG System FDE Interview Questions: The RAG System

Project

Build a RAG Using LangChain with Google Gemini

6.Case Study: Shipment Rerouting Agent

Decomposing the Problem: Multi-Agent System System Design: Multi-Agent System FDE Interview Questions: Multi-Agent System

Project

Develop a Multi-Agent Research Assistant Using AutoGen

7.Case Study: Hospital Billing System

Decomposing the Problem: Fine-Tuning the Model System Design: Fine-Tuning the Model FDE Interview Questions: Fine-Tuning the Model

Cloud Lab

Fine-Tune a SageMaker JumpStart Model for Image Classification

8.Case Study: The Health Data Hub

Decomposing the Problem: The Health Data Hub System Design: The Health Data Hub FDE Interview Questions: The Health Data Hub

9.Case Study: Order-to-Cash Sync

Decomposing the Problem: Order-to-Cash Sync System Design: Order-to-Cash Sync FDE Interview Questions: Order-to-Cash Sync

10.Case Study: Customer Service AI Agent

Decomposing the Problem: Customer Service AI Agent System Design: Customer Service AI Agent FDE Interview Questions: Customer Service AI Agent

11.Anthropic FDE Interview Preparation

The Anthropic FDE Role and Interview Loop Messages API and Tool Use Under Questioning When to Reach for the Claude Agent SDK Defending a Sub-Agent Design MCP for the Technical Use Case Screen Packaging and Hosting: Agent Skills and Managed Agents Cost and Long-Context Reasoning on the Spot Building Eval Sets That Prove a Claude System Works Answering Safety Pushback With Claude-Native Guardrails Live Debugging an Almost-Right Pipeline The Technical Use Case Screen Walk-Through Multi-Level Coding Round Practice The Final Panel Solution Design Walk-Through Security Alert Triage Case Study and Scoping Building the Agent for the Security Alert Triage Case Interview Questions on the Security Alert Triage Case

Mock Interview

Anthropic Forward Deployed Engineer

12.OpenAI FDE Interview Preparation

What an OpenAI FDE Owns Inside the FDE Team: How an Engagement Runs OpenAI’s Mission, Charter, and Deployment Philosophy The Responses API, Tool Calling, and Structured Outputs The Agents SDK, MCP, and Multi-Agent Patterns Deployment Surfaces, Voice, Model Choice, and Cost Evals, Guardrails, and Debugging with Traces The OpenAI FDE Interview Loop The Recruiter Screen, Your Project Story, and the Hiring Manager The Coding Round The Case Study and Presentation The LLM Systems Round Case Study: Support Agents for Meridian Telecom Case Study: A Research Assistant for Aster Wealth Case Study: Clinical Note Drafting at Lakeside Final Interviews and Mission Questions

Mock Interview

OpenAI Forward Deployed Engineer

13.Google FDE Interview Preparation

The Google FDE Interview Loop Vibe Coding and System Design Googleyness and Leadership The Google FDE Tech Stack The Gemini API The Agent Platform and ADK MCP Tool Integration A2A and Multi-Agent Design Grounding and Enterprise Retrieval BigQuery and Text-to-SQL Enterprise Data Pipelines Deployment and Runtime Model and Context Trade-offs Identity and AI Security Evaluation and Observability The Telecom Case Brief Case Discovery and Scoping Agent System Design Case Debrief and Interview Follow-ups Mock Interview Practice

Mock Interview

FDE Architecture Interview

14.Palantir FDE Interview Preparation

Interview Guide: Palantir Forward Deployed AI Engineers Palantir FDSE: Foundry, Gotham, AIP, and the Ontology The Hiring Process: Stages, Timeline, and No-AI Rule Your Story: Why Palantir, Projects, Mission, and Ethics Screen Formats, Time Strategy, and the Implementation Problem Algorithm Patterns That Show Up in the Screen SQL and API Tasks: Queries, Pagination, and Aggregation Case Study: A Full Technical Screen, Solved Step by Step Decomposition: What It Tests and a Repeatable Framework From Ideation to Execution: Users, Data Models, and APIs The Learning Round: Reading Docs and Extending Systems The Re-Engineering Round: Debugging and Verifying Fixes The Coding Round: User Needs and Changing Requirements FDE System Design: Pipelines, Reliability, and Access Control Case Study: Designing an Operational System With Trade-offs Behavioral Questions: Pushback, Failure, Ownership and Ambiguity The Hiring Manager Final, Team Matching, and the Offer Full Mock Loop and a 2-Week Prep Plan

Mock Interview

Palantir Forward Deployed Engineer

15.FDE Take-Home Masterclass: Scoping and Building

How FDE Take-Homes Are Scored Types of FDE Take-Home Assignments Reading the Brief Handling Ambiguity and Documenting Assumptions Scoping the MVP Choosing a Stack and Project Structure Working with Messy Data Integrating Third-Party APIs Building LLM-Powered Solutions Evaluating and Guardrailing LLM Output Code Quality, Testing, and Reproducibility

16.FDE Take-Home Masterclass: Delivering and Defending

Designing Around the End User's Workflow Building a Demonstrable Interface Writing the README Documenting Trade-Offs and Limitations Recording the Walk-Through Video Presenting and Defending Your Decisions Handling Live Extension Exercises Customer Role-Play and Scope Changes Common Take-Home Mistakes Capstone: Data Integration Challenge Capstone: LLM Application Challenge

Mock Interview

FDE Scoping Interview

17.Growing as an FDE

Navigating Enterprise Constraints Communicating Across Stakeholder Types What’s Next?