FDE Bootcamp: Forward Deployed Engineer & Agentic AI

About this course

Forward Deployed Engineers (FDEs) are the engineers an AI company sends to its clients. They sit with the customer, find the real problem, build the AI solution inside the client's own systems, and stay until it works in production. Palantir made the title known; today AI companies such as Anthropic, OpenAI and Scale AI hire FDEs, and their job posts ask for very similar skills. This bootcamp teaches those skills by doing one complete engagement, from the first client conversation to go-live and handover. You are the FDE. The client is DemoStore, an online electronics shop that asks for "a chatbot like everyone has". You turn that vague request into a measurable problem, then build an agentic AI support assistant with Claude, connect it to the client's real systems, prove it with evals, and launch it to production on AWS. What you will do, step by step: FDE role and customer engagement: discovery sessions, stakeholders, scoping an ambiguous request, a problem statement and requirements with success criteria in numbers. Applied AI and agentic AI: LLM basics, prompts, structured output, comparing Claude Haiku, Sonnet and Opus on labeled data, an AI agent loop with tools and safety rules written from scratch, RAG with sources, document extraction, simulated customers and evals over several runs. Rapid prototyping and full-stack: Python, FastAPI and Pydantic for the chat service, TypeScript and React for the widget, REST APIs, and Claude Code as your AI coding agent, with plans, reviews and tests. Data integration and pipelines: SQL on an Oracle ERP with no API, a middleware API, a help desk API with pagination and retries, a nightly CSV over SFTP, cleaning data with pandas, data modeling and quality checks.

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