{"id":57815,"date":"2026-08-20T02:39:08","date_gmt":"2026-08-20T02:39:08","guid":{"rendered":"https:\/\/academy.xebia.com\/us\/?post_type=course&p=57815"},"modified":"2026-10-06T09:48:36","modified_gmt":"2026-10-06T09:48:36","slug":"forward-deployed-engineer-fde2","status":"publish","type":"course","link":"https:\/\/academy.xebia.com\/us\/training\/forward-deployed-engineer-fde2\/","title":{"rendered":"Forward Deployed Engineer (FDE) Level 2 \u2013 Enterprise Delivery"},"content":{"rendered":"\n
\n\t\t\n\t\t\t
\n\t\t\t\n
\n\t\t
\n\t\t
\n\t\n\t
\n\t\t\t\t\t
\n\t\t\t\t<\/linearGradient><\/linearGradient><\/linearGradient><\/defs><\/svg>\t\t\t<\/div>\n\t\t\n\t<\/div>\n<\/div>\t<\/div>\n\t
\n\t\t\n\n
\n\t\t\n\t\t\t
\n\t\t\t\n
\n\t
\n\t\t
\n\t\t\t
\n\t\t\t\t\n\tForward Deployed Engineer (FDE) Level 2 \u2013 <\/strong>Enterprise Delivery<\/h1>\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n\t
\n\t\t
\n\t\t\t
\n\t\t\t\t

\n\t\t\t\t\t\n\t\t\t\t\t<\/span> \t\t\t\t\t<\/span>\n\t\t\t\t<\/p>\n\t\t\t\t

\n\t
\n\t\n\t\t
\n\t\t\t\t\t\tFDE\t\t\t<\/span>\n\t\t<\/div>\n\n\t\n\t\t
\n\t\t\t\t\t\tForward Deployed Engineer\t\t\t<\/span>\n\t\t<\/div>\n\n\t\n\t\t
\n\t\t\t\t\t\tGenerative AI\t\t\t<\/span>\n\t\t<\/div>\n\n\t\t\n\t\n\t<\/svg><\/i>\n\t\n\t<\/button>\t
\n\t\t
\n\t\t\t<\/span>\n\t\t\t\n\t\n\t<\/svg><\/i>\n\t\n\t<\/button>\t\t<\/div>\n\t<\/div>\n<\/div><\/div>

\n\tThe Forward Deployed Engineer<\/strong> (FDE) L2 \u2013 Enterprise Delivery program is a 28\u201330 hour training, delivered by Xebia, for engineers with 2\u20134 years of production experience or L1 graduates who are ready for enterprise-scale technical ownership and direct customer delivery.


The program builds the capability to connect large language models and agentic workflows safely into enterprise ERP, CRM and legacy backend systems, with production-grade operations, security and governance.

Classroom delivery is followed by Phases 1 and 2 of the Deployment Ramp, moving participants from technical ownership of integration modules to co-owned, client-facing POCs and pilots.<\/p>\t\t\t\t

\n\t\t\t\t\t\n\t\t\n\n\t\n\t\n\t\n<\/picture>\n\tTrainer Title<\/h2>\t<\/a>\t\t\t\t<\/div>\n\t\t\t\t\n\t\t\t\t\t
\n\t\n\t\t\t<\/a>\n<\/div>\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t
\n\t\t\t\t
\n\t\t
\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\tPrashant Yadav
Academy Advisor<\/h2>\t\t

\n\t+1 404-618-5322<\/a>
prashant.yadav@xebia.com<\/a>
htt<\/a>www.linkedin.com\/in\/prashant-yadav-a996aa97<\/a>
<\/p>\t<\/div>\n\t\n\t\t\tContact our team<\/span>\n\t\n\t<\/a>\t<\/div>\n<\/div>\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n<\/div>\n\t\t<\/div>\n\t<\/div>\n\n\t<\/div>\n<\/div>\t\t<\/div>\n\t<\/div>\n\n\n\n

\n\t\t\n\t\t\t
\n\t\t\t\n
\n\t\n\n
\n\t\n\n
\n\t\t\n\t\t\t
\n\t\t\t\n
\n\t\n\tWhat will you learn?<\/h2><\/div>\n\t\t<\/div>\n\t<\/div>\n\n\n\n
\n\t\t\n\t\t\t
\n\t\t\t\n
\n\t

\n\t\u2022 Enterprise Architecture (8\u201310h)<\/strong>
Domain-driven design, event-driven and API-first\/cloud-native architecture, enterprise integration patterns, scalability\/resiliency, hybrid\/multi-cloud and cost-aware design; AI platform design, multi-agent architecture, MCP, enterprise RAG, knowledge engineering, agent orchestration, evaluation frameworks, and AI observability.

\u2022 AI Engineering & Solution Patterns (8h)<\/strong>
Advanced agent workflows, multi-agent collaboration, Semantic Kernel, agent memory, context engineering, prompt orchestration, and human-in-the-loop systems; applied to enterprise copilots, knowledge platforms, enterprise search, AI DevOps assistants, incident response, and workflow automation agents \u2014 with reusable components contributed to the FDE Acceleration Toolkit.

\u2022 Integration & Quality Engineering (8h)<\/strong>
API management, event streaming, enterprise IAM, secure API engineering, ERP\/CRM\/legacy backend integration, workflow automation, and integration governance; AI system and RAG evaluation, agent testing, AI risk validation, contract testing, synthetic test data, and performance\/regression\/production readiness testing.

\u2022 Platform Engineering, MLOps & Operations (4\u20135h)<\/strong>
Enterprise CI\/CD and GitOps, containerization and secrets management, progressive delivery, infrastructure automation, multi-environment release management, observability and distributed tracing, MLOps, and incident response.

\u2022 Deployment Ramp \u2014 Phases 1\u20132 (engagement-based)<\/strong>
Phase 1: technical ownership of integration modules within an active engagement team. Phase 2: co-owned client-facing POCs and pilots, with documented readiness gates at each transition.<\/p><\/div>\n\t\t<\/div>\n\t<\/div>\n\n\n\n

\n\t\t\n\t\t\t
\n\t\t\t\t\t<\/div>\n\t<\/div>\n\n<\/div>\n\n\n\n
\n\t\n\n
\n\t\t\n\t\t\t
\n\t\t\t\n
\n\t\n\n
\n\t\t\n\t\t\t
\n\t\t\t\n
\n\t\n\tKey takeaways<\/h2><\/div>\n\t\t<\/div>\n\t<\/div>\n\n\n\n
\n\t\t\n\t\t\t
\n\t\t\t\n
\n\t\n\t
  • Architect enterprise-ready solutions applying modern architecture patterns, AI capabilities and integration strategies.
    <\/li>
  • Engineer and integrate intelligent enterprise applications across cloud platforms, APIs, ERP and CRM systems and enterprise messaging.
    <\/li>
  • Validate enterprise solutions through structured quality engineering, AI evaluation frameworks and production readiness assessment.
    <\/li>
  • Apply enterprise platform engineering practices for deployment, observability, MLOps and continuous optimization.
    <\/li>
  • Own client-facing POCs and production pilots, leading discovery sessions and solution demonstrations.

    <\/li><\/ul><\/div>\n\t\t<\/div>\n\t<\/div>\n\n<\/div>\t\t<\/div>\n\t<\/div>\n\n<\/div>\n\n<\/div>\n\t\t<\/div>\n\t<\/div>\n\n\n\n
    \n\t\t\n\t\t\t
    \n\t\t\t\n
    \n\t\n\n
    \n\t\n\n
    \n\t\t\n\t\t\t
    \n\t\t\t\n
    \n\t\n\tProgram<\/h2><\/div>\n\t\t<\/div>\n\t<\/div>\n\n\n\n
    \n\t\t\n\t\t\t
    \n\t\t\t\n
    \n\t

    \n\tThe program is structured into seven capability areas totalling 28\u201330 classroom hours, each combining enterprise concepts with hands-on engineering, followed by two engagement-based phases of the Deployment Ramp.<\/p><\/div>\n\t\t<\/div>\n\t<\/div>\n\n<\/div>\n\n\n\n

    \n\t\n\n
    \n\t\t\n\t\t\t
    \n\t\t\t\n\n\t\t\n\n
    \n\t