Beginners and junior developers
Practice programming, project execution, version control and checks before FDE implementation.
Start preparation →IANNIL · FDE Training
Learn FDE.From customer problem to delivery.
For beginners, engineers and enterprise technical teams. Preparation, module exercises, case discussions and a capstone train responsibility for verifiable outcomes.
What is a Forward Deployed Engineer, and where do you start?
A Forward Deployed Engineer works in customer context to turn business problems into working systems and coordinate validation and handover. This course focuses on AI delivery: engineers with programming experience can begin with role and discovery, build artifacts across six modules, then complete a capstone project.
FDE (Forward Deployed Engineer) works in client context across scoping, implementation, evaluation and handover. Free foundation practice is available; paid training is coming soon and is not offered yet.
Start where it fits your experience
Experienced engineers
Extend implementation skills into discovery, evaluation, handover and adoption judgment.
Start the FDE path →Enterprise technical teams
Organize learning, paired exercises, peer review and stage retrospectives around shared scenarios.
Explore team training →Learning goals
Practice four core FDE capabilities
- 01
Scope customer problems, data and permissions
- 02
Deliver independently verifiable engineering milestones
- 03
Explain release decisions with evaluation and regression
- 04
Organize handover, feedback and adoption observation
Curriculum
Six modules across a delivery lifecycle
- 01
Role and mindset →
Understand who an FDE serves, how to enter customer context and what constraints an AI partner needs.
Practice artifactA role responsibility and skill-gap inventory
- 02
Customer discovery and scoping →
Turn ambiguous requests into event flows, data inventories, testable hypotheses and scope decisions.
Practice artifactA scoping pack: problem, data, permissions and an exit decision
- 03
Blueprints and implementation →
Turn scoping into an executable blueprint and deliver verifiable milestones through the six-step cycle.
Practice artifactA blueprint, an implementation milestone and acceptance evidence
- 04
Evaluation and quality →
Explain release decisions through datasets, judge calibration and comparable regression; verify software and model behavior separately.
Practice artifactEvaluation cases, a version contract and a release decision
- 05
Handover and team collaboration →
Make delivery transferable, reproducible and improvable; turn individual practice into team learning.
Practice artifactA handover checklist, feedback loop and team training plan
- 06
Cases and integrated practice →
Make a decision before consulting cases, then independently complete a requirements-to-retrospective practice report.
Practice artifactFour case decision notes and an integrated practice report
Case discussions
Decide before reading the case
Four textbook cases train milestones, migration boundaries, state design and evaluation gates. Write your decision, then compare it with the reference.
Explore case discussions →Capstone
Review learning through a complete report
Choose one of four topics and complete requirements, blueprints, implementation, acceptance and retrospective. The five-stage, 100-point rubric is for internal learning review.
View capstone tasks →Choose how to learn
Individual study
Forty lessons and six modules provide explanations, examples, exercises, reference feedback and downloads. Work at your own pace and keep artifacts, implementation and checks in your own project.
Start the first module →Team training
Leads can organize paired practice, peer review and retrospectives around team experience and scenarios. Define goals, participants and data boundaries before discussing arrangements.
Explore team training →FDE learning questions
- What is an FDE?
- A Forward Deployed Engineer works in customer context across scoping, implementation, evaluation and handover, with attention to verifiable delivery outcomes. This course focuses on AI scenarios.
- Are all 40 chapters free?
- The 40 public lessons in Chinese and English, exercises and reference feedback are free. Each lesson offers a chapter download, and module workshops provide a workbook and runnable lab. Twelve free video episodes have Chinese narration and captions, shared by both language versions.
- Can beginners start?
- Begin with role and discovery. Before implementation, complete preparation in programming, running projects, version control and verification.
- What is the learning sequence?
- Follow role and mindset, customer discovery, blueprints and implementation, evaluation and quality, handover and collaboration, then cases and the capstone.
- Are grading, certificates or employment guarantees included?
- Current learning is independent and free, with references and self-checks. Instructor grading, certificates and employment guarantees are not provided. A self-check is not proof of capability.
- Can I enroll in paid training now?
- Paid training is coming soon and currently unavailable. Enrollment, reservations and payments are not accepted. You can discuss specific learning questions and team practice needs.
Complete practice, then choose your next step
Free workshops include examples, material and self-checks. Paid training is coming soon and is not currently offered. Discuss learning questions; paid enrollment and reservations are not accepted.