AI · Course 07 · 60 hours · 7 modules
TrendingForward 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.
- 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
The FDE role
- Owning outcomes from discovery to deployment
- Working across engineering, product, and customers
Discovery and scoping
- Writing user stories with stakeholders
- Translating business workflows into requirements
- Defining success metrics
Rapid prototyping
- LLM workflows and APIs with FastAPI and LangGraph
- Demo-driven iteration with customer feedback
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
Production readiness
- Structured outputs, retries, and validation
- Tracing with LangSmith and Langfuse
- Cost and latency tuning
Delivery and communication
- Client updates and expectation setting
- Tracking delivery in JIRA
- Documentation and handover
Capstone project
- Scope, prototype, and deploy an AI workflow for a realistic customer brief
Interested in this course?
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