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Duration 7 hours
Course Outline
The Forward Deployed Model
- The evolution of the role, beginning with Palantir
- Implementation of forward deployed teams at OpenAI, Anthropic, and major service firms
- Distinguishing the role from consulting and solutions architecture
- Key metrics used to evaluate forward deployed engineers
The Deployment Gap
- Root causes for pilot projects stalling before production
- Balancing technical capability with organizational readiness
- Identifying symptoms of deployments that lack scalability
- The business impact of stalled pilot initiatives
The Engagement Lifecycle
- Phases: Discovery, Prototyping, Validation, Go-Live, and Scaling
- Entry and exit criteria for each lifecycle stage
- Establishing cadence and decision rights with customers
- Documenting assumptions and unresolved questions
Operating Inside the Customer
- Stakeholder mapping from end-users to executive leadership
- Navigating access requests, security reviews, and environment constraints
- Building trust with both technical and business teams
- Managing expectations during scope changes
Outcomes, Handover and Scale
- Defining success using the customer’s specific metrics
- Handing over to internal engineering and platform teams
- Converting repeated tasks into reusable assets
- Documenting failure patterns to improve future engagements
Requirements
- Professional experience in delivering software, data, or integration projects
- Proficiency with cloud platforms and API-based integrations
- Prior exposure to customer-facing technical responsibilities
Target Audience
- Engineers transitioning into forward deployed engineering roles
- Solutions architects and technical consultants
- Delivery leads and engineering managers establishing embedded practices
- Product engineers collaborating directly with enterprise clients
