Forward Deployed Engineering Tutorial · Delivering Value · Lesson 24 of 24
Next Steps
Where to go next: the Forward Deployed Engineering course, AI and integration courses, cloud and networking tutorials, and interview practice.
You've covered
- What forward deployed engineers do and how the role compares with others
- Discovery, scoping, success metrics, plans and stakeholders
- APIs, auth, pagination, rate limits, webhooks, data cleaning, incremental sync and testing
- Deployment models, security reviews, SSO, corporate networks and safe observability
- LLM integration, retrieval, evaluation and guardrails
- Moving prototypes to production and feeding learnings back to product
Keep going
- Course: Forward Deployed Engineering in Practice: real field incidents from messy data to stalled pilots.
- AI: Integrating LLM APIs and Native AI Engineering.
- Infrastructure: the Cloud Computing and Networking tutorials.
- Interviews: Forward Deployed Engineer interview questions and quiz in the app.
plan = {"week 1-2": "discovery, access requests, scope signed",
"week 3-4": "connector + validation on real data",
"week 5-6": "pilot with 5 users, eval set, daily feedback",
"week 7-8": "production readiness, handover, product feedback"}
for when, what in plan.items():
print(f"{when:9} {what}")
Output
week 1-2 discovery, access requests, scope signed week 3-4 connector + validation on real data week 5-6 pilot with 5 users, eval set, daily feedback week 7-8 production readiness, handover, product feedback