FDE Roadmap 2026 🚀 Zero to Job-Ready in 74 Days | AI, LLM, RAG & Agents

🚀 Want to become a Forward Deployed Engineer (FDE) but don't know where to start? Welcome to the FDE Learning Journey — Zero to Job-Ready! In this Day 0 video, I'll walk you through our complete 74-day roadmap to learning the skills required for Forward Deployed Engineering, from programming fundamentals to AI applications, enterprise integrations, production deployment, and real-world customer problem-solving. This is a practical, step-by-step learning journey focused on understanding concepts, building projects, documenting what we learn, and sharing the process through YouTube. 🎯 WHAT YOU'LL LEARN IN THIS 74-DAY ROADMAP ✅ Phase 1: Programming Foundations (Days 1–6) Python, data structures, functions, debugging, testing, Linux, and Git. ✅ Phase 2: APIs & Enterprise Integration (Days 7–15) HTTP, REST APIs, OAuth2, OIDC, FastAPI, SQL, webhooks, and system integrations. ✅ Phase 3: AI & LLM Development (Days 16–22) LLM fundamentals, prompt engineering, structured outputs, model APIs, and AI applications. ✅ Phase 4: RAG & Knowledge Systems (Days 23–30) Document processing, chunking, embeddings, vector databases, retrieval, and evaluation. ✅ Phase 5: AI Agents & MCP (Days 31–38) Tool calling, agents, Model Context Protocol (MCP), permissions, retries, and approvals. ✅ Phase 6: Production Engineering & DevOps (Days 39–47) Cloud architecture, Azure, CI/CD, security, observability, testing, reliability, and cost management. ✅ Phase 7: Customer-Facing Engineering (Days 48–57) Customer discovery, requirements, architecture decisions, prototyping, demos, documentation, and handover. ✅ Phase 8: Business Outcomes & Delivery (Days 58–62) ROI, estimation, risk management, stakeholder communication, and business impact. ✅ Phase 9: Capstone & Job Readiness (Days 63–74) Build an end-to-end solution, test and secure it, deploy it, document it, present a demo, and prepare your portfolio and interview skills. 💡 WHO SHOULD WATCH THIS SERIES? • Developers who want to explore the Forward Deployed Engineer career path • Software engineers interested in AI engineering and LLM applications • Azure DevOps, cloud, and platform engineers expanding into AI and customer-facing engineering • Beginners who want a structured path to learn Python, APIs, RAG, agents, and deployment • Engineers preparing for practical projects and FDE interviews 📚 HOW THIS LEARNING JOURNEY WORKS We'll follow a practical routine: Learn the concept → Build something → Complete an exercise → Write notes → Explain what we learned. The goal is not simply to learn tools. It is to develop the ability to understand a business problem, build a suitable technical solution, integrate it with existing systems, and deliver measurable value. This roadmap is a structured learning plan, not a guarantee of employment. Job readiness depends on your practice, project quality, and ability to demonstrate your skills. 🔥 START THE FDE LEARNING JOURNEY Subscribe and follow along as we progress from the fundamentals toward real-world AI and enterprise engineering. 👉 Comment below: What is your current role, and why do you want to become an FDE? Let's learn, build, and grow together! #ForwardDeployedEngineer #FDE #FDERoadmap #AIEngineering #LLM #RAG #AIエージェント #AzureDevOps #Python #MCP