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AI · Course 07 · 60 hours · 7 modules

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Forward Deployed Engineering

Ship AI solutions inside real customer environments.

Working embedded with customers to turn business problems into deployed AI systems—discovery, rapid prototyping, integration, and production hand-off.

PythonFastAPILangGraphAzure AI FoundryAzure Cosmos DBAWSLangSmithLangfuseJIRA
Who it's for
Engineers moving into customer-facing, solutions, or forward deployed roles
Duration
60 hours
Modules
7 modules, ending in a capstone project
Formats
Corporate training · College & university sessions · Own institute & online courses · Mentoring & internships

Syllabus

What the course covers

01

The FDE role

  • Owning outcomes from discovery to deployment
  • Working across engineering, product, and customers
02

Discovery and scoping

  • Writing user stories with stakeholders
  • Translating business workflows into requirements
  • Defining success metrics
03

Rapid prototyping

  • LLM workflows and APIs with FastAPI and LangGraph
  • Demo-driven iteration with customer feedback
04

Integrating with customer systems

  • REST and GraphQL APIs and existing data stores
  • Azure AD SSO and role-based access
  • Cloud services on Azure and AWS
05

Production readiness

  • Structured outputs, retries, and validation
  • Tracing with LangSmith and Langfuse
  • Cost and latency tuning
06

Delivery and communication

  • Client updates and expectation setting
  • Tracking delivery in JIRA
  • Documentation and handover
07

Capstone project

  • Scope, prototype, and deploy an AI workflow for a realistic customer brief

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Testimonials

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