Learning Roadmap
How to Become a AI Export Control Compliance Analyst
A step-by-step, phase-based learning path from beginner to job-ready AI Export Control Compliance Analyst. Estimated completion: 5 months across 5 phases.
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Foundations of Export Control Law
4 weeksGoals
- Understand the structure and purpose of U.S. EAR, ITAR, and EU Dual-Use Regulation
- Learn the Commerce Control List (CCL) structure and ECCN classification logic
- Grasp the concepts of deemed exports, re-exports, and transfers (in-country)
Resources
- BIS 'Introduction to Export Controls' online course
- Thomson Reuters Practical Law - Export Controls practice notes
- EU Dual-Use Regulation (EC) 2021/821 - full text study
- Bureau of Industry and Security SNAP-R training modules
MilestoneYou can navigate the Commerce Control List, identify basic ECCN classifications, and explain the regulatory framework to a non-specialist.
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AI Technology Literacy for Compliance
4 weeksGoals
- Understand AI/ML model architectures (transformers, CNNs, diffusion models) at a technical level sufficient for classification
- Learn GPU and AI accelerator specifications - compute thresholds (TOPS), memory bandwidth, interconnect speeds - relevant to 3A090/4A090
- Map the AI lifecycle (data collection → training → fine-tuning → inference → deployment) to export control trigger points
Resources
- Fast.ai 'Practical Deep Learning for Coders' (selected lectures)
- NVIDIA technical specifications documentation for H100/A100/H200 GPUs
- BIS October 2022 and October 2023 semiconductor export control rules - Federal Register
- Center for Security and Emerging Technology (CSET) Georgetown publications on AI and export controls
MilestoneYou can read an AI system's technical documentation and identify which components may be subject to export controls and why.
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Compliance Operations & Screening
3 weeksGoals
- Master denied party screening workflows using Visual Compliance or equivalent tools
- Learn license application processes - documentation, timelines, conditions
- Understand license exceptions (e.g., TSR, TMP, GOV, APR) and when they apply to AI technology
Resources
- Visual Compliance / Descartes platform training
- BIS SNAP-R system tutorials for license application submission
- Practical case studies from export enforcement actions (DOJ and BIS published settlements)
- SCCE (Society of Corporate Compliance and Ethics) - export controls webinars
MilestoneYou can run a full screening workflow, draft a license application package, and advise on applicable license exceptions.
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Building AI-Powered Compliance Workflows
4 weeksGoals
- Develop Python scripts for automating ECCN lookups, screening batch processing, and regulatory change alerts
- Build a LangChain-based RAG pipeline over export control regulations for internal Q&A
- Create compliance dashboards tracking license status, screening results, and risk indicators
Resources
- LangChain documentation and RAG tutorial series
- Python for Data Analysis (Wes McKinney) - pandas fundamentals
- Neo4j Graph Data Modeling free course
- Tableau Public compliance dashboard templates
MilestoneYou have built a working automated compliance toolkit - screening scripts, a regulation Q&A bot, and a risk dashboard - that demonstrates tangible value to a compliance team.
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Multi-Jurisdictional Strategy & Career Positioning
3 weeksGoals
- Understand the interplay between U.S., EU, UK, Japan, Netherlands, and South Korea export control regimes for AI technology
- Learn to build a corporate export compliance program from scratch - policies, training, auditing, escalation
- Prepare for Certified U.S. Export Compliance Officer (CUSECO) or equivalent credential
Resources
- Export Compliance Training Institute (ECTI) advanced seminars
- OECD 'Dual-Use Technology and Export Controls' policy papers
- CUSECO certification study guide
- Interview with compliance leaders at NVIDIA, AMD, Google DeepMind, or OpenAI (industry panels and podcasts)
MilestoneYou can design a multi-jurisdictional export compliance program for an AI company and are ready to interview competitively for mid-level roles.
Practice Projects
Apply your skills with hands-on projects. Ordered by difficulty.
ECCN Classification Automation Tool
IntermediateBuild a Python application that takes a product technical specification (hardware or software) as input and cross-references it against ECCN thresholds - particularly for 3A090, 4A090, and related AI-relevant entries - to suggest a preliminary classification with confidence score and rationale.
Export Control Regulation RAG Chatbot
IntermediateCreate a LangChain-based retrieval-augmented generation chatbot that ingests BIS Federal Register notices, EAR regulatory text, and company compliance policies, then answers compliance analysts' questions with cited sources.
Global Denied Party Screening Pipeline
BeginnerBuild an automated batch screening system in Python that takes a CSV of customers/partners, screens them against OFAC SDN, BIS Entity List, and EU consolidated list APIs, and outputs a flagged risk report with recommended actions.
AI Supply Chain Export Risk Mapper
AdvancedDesign a Neo4j graph database that models a multi-tier AI supply chain - from chip fabrication through model training infrastructure to SaaS deployment - with jurisdiction, licensing status, and end-user attributes on each node. Build queries to identify highest-risk export pathways.
Regulatory Change Impact Dashboard
IntermediateBuild a Tableau or Streamlit dashboard that monitors BIS Federal Register updates, maps them to internal product ECCN classifications, and generates a heat map showing which products are affected by new rules, with severity scoring.
Technology Control Plan (TCP) Template Generator
BeginnerCreate a structured, interactive document generator (using Python + Jinja2 templates) that walks a compliance analyst through creating a Technology Control Plan for an AI research lab, including access controls, visitor protocols, and monitoring requirements.
AI Chip Threshold Calculator and Classifier
IntermediateBuild a web-based calculator (Flask/Streamlit) that takes GPU/AI accelerator specifications as inputs and computes aggregate adjusted peak performance under BIS 3A090/4A090 rules, displaying whether the chip exceeds control thresholds with explanation of the math.
Ready to Start Your Journey?
Prep for interviews alongside your learning — it reinforces every concept.