{"id":57796,"date":"2026-08-18T00:22:43","date_gmt":"2026-08-18T00:22:43","guid":{"rendered":"https:\/\/academy.xebia.com\/us\/?post_type=course&p=57796"},"modified":"2026-08-21T20:54:59","modified_gmt":"2026-08-21T20:54:59","slug":"artificial-intelligence-forward-deployed-engineer-fde","status":"publish","type":"course","link":"https:\/\/academy.xebia.com\/us\/training\/artificial-intelligence-forward-deployed-engineer-fde\/","title":{"rendered":"FDE L1 \u2013 Foundation"},"content":{"rendered":"\n
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\n\t\t\t\t\n\tForward Deployed Engineer (FDE) Level 1 \u2013 Foundation<\/strong>\u00a0<\/h1>\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n\t
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\n\t\t\t\t\t\tAPI Engineering\t\t\t<\/span>\n\t\t<\/div>\n\n\t\n\t\t
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\n\tThe Forward Deployed Engineer<\/strong> (FDE) L1 \u2013 Foundation program is a 48\u201355 hour training, delivered by Xebia, for high-aptitude campus hires and junior full-stack or cloud developers who are ready to work alongside enterprise customers as autonomous rapid-prototypers.

The program turns strong coders into Forward Deployed Engineers who can run discovery, frame ambiguous business problems, and build, deploy and demonstrate AI-powered enterprise applications end to end.

Classroom delivery is followed by a Build Sprint and a 3\u20136 month Shadowing Programme, so capability is proven on live engagements rather than in the classroom alone.<\/p>\t\t\t\t

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\n\t\t\n\tContact Us for In-company Training<\/h2>

\n\tOur in-company training programs are fully customizable to meet your organization\u2019s unique needs. Reach out to discuss how we can help your team grow.<\/p>

\n\t\t\n\n\t\n\t\n\t\n<\/picture>\t\t\n\tKyle Anderson
Academy Advisor<\/h2>\t\t

\n\t+1 (404) 488-7293<\/a>
<\/a>kyle.anderson@xebia.com<\/a>
https:\/\/www.linkedin.com\/in\/kylekanderson\/<\/a>
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\n\t\n\tWhat will you learn?<\/h2><\/div>\n\t\t<\/div>\n\t<\/div>\n\n\n\n
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\n\t\u2022 Technical track<\/strong> \u2014 enterprise application and API engineering (REST APIs, OAuth and JWT, third-party integration, webhooks, error handling), solution architecture essentials (layering, microservices, API-first and cloud-native design, scalability), applied AI engineering (LLMs, prompt and context engineering, embeddings, vector databases, RAG, function calling, AI safety and guardrails), building and evaluating AI solutions (AI assistants, knowledge base integration, agent basics, model evaluation, responsible AI), cloud-native deployment and operations (Git, Docker, CI\/CD, Azure\/AWS\/GCP deployment, secrets management, monitoring), and rapid prototyping with the FDE Acceleration Toolkit (deployment boilerplates, infrastructure-as-code, AI-assisted development, reviewing AI-generated code).

\u2022 Consulting track<\/strong> \u2014 the FDE role and operating model, discovery and problem framing (root cause analysis, requirement discovery, user stories), working with ambiguity and enterprise reality (legacy systems, technical debt, messy data, build vs buy vs integrate), stakeholder and scope management (influence mapping, scope creep, escalation), and client communication and demonstration (live demos, sprint reviews, handling objections).

\u2022 Applied practice<\/strong> \u2014 a guided capstone build, an independent Build Sprint of two further applications, and a 3\u20136 month shadowing programme with a Senior FDE or Lead Architect.<\/p><\/div>\n\t\t<\/div>\n\t<\/div>\n\n\n\n

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  • Engage business stakeholders directly to validate requirements and distinguish business problems from technical symptoms.
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  • Operate effectively without complete requirement documents, converting ambiguous client input into deliverable technical scope.
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  • Rapidly prototype and deploy AI-powered enterprise applications, compressing prototype-to-production cycles.
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  • Recommend enterprise-ready solution approaches considering scalability, security and integration complexity.
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  • Deploy and operate production-ready solutions on cloud infrastructure with appropriate monitoring and security.
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  • Communicate technical solutions and trade-offs credibly to non-technical audiences.
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  • Contribute autonomously within Forward Deployed Engineering teams at client sites.\u00a0
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    \n\tThe program is structured into three tracks totaling 48\u201355 classroom hours, followed by applied practice on live engagements.
    Technical Track and Consulting Track run in parallel; Applied Practice is where both integrate.<\/p><\/div>\n\t\t<\/div>\n\t<\/div>\n\n<\/div>\n\n\n\n

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