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The FDE Playbook : From Coder to Client-Facing Engineer

Forward Deployed Engineering

Course Details

Duration
3 Months
Date
Time
Lectures
Learning Mode
Online
Certificate
Included
Total Enrolled
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Course Overview

The Forward Deployed Engineer role pairs strong engineering with client-facing delivery, and this course is built to take experienced engineers there. Across 9 modules and a capstone project, you’ll run client discovery sessions, prototype full-stack apps in hours instead of weeks, integrate LLMs into production systems, build data pipelines and dashboards, and learn to communicate under pressure with real stakeholders. This is not a beginner course. It’s built for engineers who already code well and want to add the FDE toolkit, ending with a portfolio and interview prep built specifically for FDE roles.

Key Takeaways

  • FDE mindset: ownership, client-first thinking, T-shaped skills
  • Run discovery sessions, scope work into shippable specs
  • Fast full-stack prototyping with an FDE starter kit
  • Integrate LLMs: prompt engineering, RAG, AI agents
  • Build data pipelines and client dashboards
  • Deploy with Docker, CI/CD and cloud essentials
  • Client communication, demos and scope management
  • 3 capstones and an interview-ready portfolio

Prerequisites

  1. 3-5+ years of software or data engineering experience
  2. Working proficiency in a backend language
  3. Hands-on REST API and SQL experience
  4. Comfort with Git and collaborative workflows
  5. Prior cloud deployment experience
  6. No AI/LLM experience needed

Course Curriculum

Level 1: The FDE Mindset & Role Foundations

  • History and Evolution of the FDE Role
  • FDE vs SWE vs Solutions Engineer vs Consultant
  • The T-Shaped Engineer Framework
  • Client-First Thinking & Ownership Culture

 

Level 2: Rapid Discovery & Problem Scoping

  • Running a Client Discovery Session
  • Converting Business Problems into Technical Specs
  • Scoping for Fast Delivery: MVP vs MVP+
  • Lab: Discovery Simulation with a Mock Client

 

Level 3: Full-Stack Rapid Prototyping

  • The FDE Stack: Python, Node/TS, REST, GraphQL, SQL/NoSQL
  • Speed-Coding Patterns: Scaffolding & Boilerplates
  • Database Design for Prototypes

 

Level 4: AI Integration for FDEs

  • LLM APIs in Production: OpenAI, Anthropic, Gemini
  • Prompt Engineering for Client Use Cases
  • RAG: Retrieval-Augmented Generation from Scratch
  • AI Agents & Tool-Calling
  • Evaluation & Guardrails for LLM Outputs
  • Lab: Build a Domain-Specific AI Assistant

 

Level 5: Data Engineering & Pipelines for FDEs

  • Understanding Client Data Estates
  • SQL Mastery for FDEs

 

Level 6: Deployment, DevOps & Handoff

  • Cloud Deployment Essentials: Azure
  • Containers & Docker for Rapid Deployment
  • FastAPI + Streamlit
  • Handoff Engineering: Documentation & Runbooks

 

Level 7: Client Communication & Soft Skills

  • Communicating Progress to Non-Technical Stakeholders
  • Managing Scope Creep in the Field
  • Running Effective Product Demos
  • Trust-Building & Long-Term Client Relationships

 

Level 8: Capstone Projects & Career Launch

  • Capstone: End-to-End AI Feature Deployment
  • Capstone: Data Pipeline & Dashboard Build
  • Portfolio Preparation: GitHub, Case Studies, Write-Ups
  • Interview Prep & FDE Job Search Strategy

 

Level 9: End-to-End Client Simulation

  • Client Problem → Clarify Assumptions
  • Scope MVP → Build Demo
  • Present to Client
  • Lab: Full Client Simulation, Problem to Handoff

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