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GSDC CFDE Certification: Forward Deployed Engineer Prep
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GSDC CFDE Certification: Forward Deployed Engineer Prep

Exam-focused prep for GSDC's CFDE: Python, APIs, ML, LLMs, RAG, agents, cloud deployment, and client-facing demos.
Created byAseem Mankotia
Last updated 8/2026
English
English [Auto],

What you'll learn

  • Structure ambiguous client problems using first-principles and MECE decomposition
  • Build production-grade Python with type hints, logging, and pytest coverage
  • Design and ship REST APIs with FastAPI, Pydantic validation, and OpenAPI docs
  • Apply the ML lifecycle and the ML-vs-LLM-vs-rules decision, plus RAG and agents

Course content

1 section • 12 lectures • 3h 5m total length
  • The Forward Deployed Engineer Mindset15:37
  • Production-Grade Python for Client Delivery12:46
  • Building APIs with FastAPI and Pydantic16:32
  • Data Engineering and Storage Strategy for AI Systems14:22
  • ML Lifecycle, Evaluation Metrics, and Deep Learning Intuition17:30
  • Prompt Engineering and LLM Workflow Design15:06
  • RAG Systems End to End16:43
  • Agentic Systems and Tool Use13:56
  • Rapid Prototyping UI and Cloud Deployment16:35
  • Client Discovery, Scoping, and Business Case Development15:40
  • PoC-to-Production, Demo Delivery, and Trusted-Advisor Engagement16:40
  • Full Exam Simulation and Test-Taking Strategy13:39

Requirements

  • No mandatory prerequisites; basic Python and REST familiarity is helpful but not required

Description

This course contains the use of artificial intelligence.

Forward Deployed Engineer is one of the fastest-growing hybrid roles in tech — the client-facing, build-anything engineering role popularized by Palantir and now hired aggressively by OpenAI, Anthropic, Salesforce, and enterprise AI companies. GSDC's Certified Forward Deployed Engineer (CFDE) is the most established vendor-neutral credential for this role, and this course is exam-focused preparation built around its official 13-module syllabus: FDE mindset and problem structuring, production Python and API design, data engineering and ML foundations, prompt engineering and RAG, agentic systems and cloud deployment, and client engagement and demo delivery. Instructor Aseem Mankotia walks through every syllabus module with direct, hands-on labs — FastAPI microservices, MLflow-tracked models, FAISS/Chroma RAG pipelines, tool-calling agents, Dockerized Streamlit demos, and client discovery documents — so you spend your limited prep time on practical skill-building instead of passive theory.

Each of the twelve chapters maps to a specific exam domain, includes exam-style scenario questions with full explanations of why each wrong answer is wrong, flags the exam's recurring judgment calls (ML vs LLM vs rule-based, RAG vs fine-tuning, agent vs simple chain), and calls out the specific numbers, frameworks, and traps candidates report seeing on exam day. The client-facing domains — discovery, scoping, PoC-to-MVP transitions, and demo delivery under pressure — get full scenario coverage rather than an afterthought, because that consulting layer is what actually differentiates the CFDE from a purely technical ML or cloud certification. The final chapter is a complete 40-question exam simulation with a 90-minute time-management strategy, flag-and-return tactics, and guidance on using GSDC's complimentary retake wisely if needed.

This is an independent exam-preparation course created by Aseem Mankotia and is not affiliated with, endorsed by, or a replacement for GSDC's own program — the exam voucher, official self-paced materials, live GSDC Studio sessions, and capstone project come directly from GSDC. GSDC does not publish official per-domain weightings for the exam; the domain percentages referenced throughout this course are editorial estimates reflecting the emphasis of the official syllabus, clearly marked as such, not GSDC's own figures. Course pricing and GSDC's own enrollment pricing change over time — verify current figures directly with GSDC before enrolling in the official program.

AI content disclosure: This course was produced with the assistance of artificial intelligence tools. Lecture narration is AI-voice generated, and lecture scripts, slides, and practice questions were drafted with AI assistance, then reviewed and curated by the instructor for technical accuracy and alignment with the official CFDE exam guide.

Who this course is for:

  • Engineers moving into client-facing AI deployment (Forward Deployed Engineer) roles