Trending Certification

FDE Career Accelerator - FCA Course

110-Hour Enterprise AI, Data & Platform Engineering Program. Master Linux, Python, SQL, ETL, BigQuery, Docker, Kubernetes, Terraform, Ansible, CI/CD, and AI/RAG with 70% hands-on labs, real-world FDE missions, and a 10-hour capstone.

Duration 110 Hours (2 Months)

Difficulty Advanced

Rating 4.99 / 5.0

Enrolled 1,850

Course Overview

The Forward Deployed Engineer (FDE) Career Accelerator is an intensive 110-hour, 70% hands-on enterprise-grade engineering program designed to bridge the gap between code and client success. FDEs don't just learn tools in isolation—they take enterprise problems from requirement and architecture through data pipelines, AI/RAG, application microservices, cloud infrastructure, container orchestration, CI/CD DevSecOps pipelines, security, and production troubleshooting. Built around the 6-stage methodology (Learn → Build → Break → Troubleshoot → Secure → Deploy), the course features 50 hours of hands-on labs/FDE missions simulating real enterprise failures and culminates in a 10-hour Enterprise AI Knowledge Platform Capstone.

What You Will Learn

Master the FDE Engineering Model: Problem → Requirement → Architecture → Data → Application → AI → Infrastructure → Deployment → Security → Operations → Acceptance

Build end-to-end enterprise microservices with Python REST APIs, SQL/NoSQL (MongoDB), ETL/ELT pipelines, and GCP BigQuery analytics

Deploy and orchestrate containerized applications using multi-stage Dockerfiles, Docker Compose, Kubernetes, and Helm

Automate multi-cloud infrastructure provisioning and declarative configuration management using HashiCorp Terraform and Ansible

Engineer production AI / GenAI / RAG systems with LLMs, vector search, document chunking, hallucination control, and AI evaluation

Construct DevSecOps CI/CD build and delivery pipelines with GitHub Actions, image vulnerability scanning, HashiCorp Vault secrets, and zero-downtime rollbacks

Solve real-world FDE Missions simulating broken Linux servers, failed ETL pipelines, K8s workload crashes, secret leaks, container vulnerabilities, and RAG hallucinations

Architect, deploy, secure, and present a 10-Hour Enterprise AI Knowledge Platform Capstone meeting strict Definition of Done standards

Step-by-Step Curriculum

Course Learning Roadmap

Course Syllabus & Modules

Enterprise problem solving, architecture thinking & systems design

Linux essentials, Bash scripting, system troubleshooting & CLI navigation

Enterprise networking fundamentals, IP routing & SSH diagnostics

Version control with Git, branching strategies & collaborative workflows

Prerequisites

Basic command-line and operating system fundamentals
Familiarity with any programming language (Python basics recommended)
Drive to design, build, troubleshoot, and deploy end-to-end enterprise systems

Target Audience

Forward Deployed Engineers (FDE) & Solutions Engineers
Cloud & Platform Engineers
DevOps & Site Reliability Engineers (SRE)
AI & Data Platform Engineers
Infrastructure & Systems Automation Engineers

Limited Seats for Upcoming BatchAdmissions Open 2026

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24/7 Remote Lab Access Included

Guaranteed 100% Placement Assistance