Which roles get the most from this?

Engineering and compliance teams alongside community and ecosystem staff at protocols, exchanges, wallets, or crypto-native companies. We shape cohorts and exercises around each group's workflows and information boundaries, since a protocol foundation and a centralized exchange face different obligations.

Does this training give investment or trading advice, including price calls?

No, and it never will. The program is strictly non-financial: no trading signals, no token recommendations, no price predictions, no investment advice, in the training or in any workflow it teaches. Every exercise stays inside documentation, review support, compliance drafting, and community operations.

Does the training teach AI to sign off on smart-contract security?

No. AI-assisted review can flag common vulnerability patterns, suggest test cases, and highlight documentation gaps, but a qualified security auditor still signs off on any contract before deployment. The module is explicit about that boundary so no team mistakes review support for an audit.

Do participants need a technical or compliance background?

Participants need no single background. Engineers, compliance analysts, and community managers can attend combined or separate sessions depending on the workflows you want to improve, and exercises are grouped so each role gets examples that match its daily work.

How does the training handle AML and the travel rule, alongside other regulatory topics?

It stays inside documentation support. Participants learn to map regulatory sources and draft policy language with audit-trail records. They also flag uncertainty for a compliance officer to resolve. The training does not tell your organization what the law requires.

How long, and is it remote or onsite?

About 12 hours, onsite or as live online sessions, usually split across two days or shorter blocks around release schedules and reporting deadlines.

Can the syllabus adapt to our protocol or product, including its jurisdiction?

It does, starting with a discovery call: your organization type, approved tools, and sanitized examples of the documents and conversations you handle. From there we adjust the modules and depth. Sensitive keys and wallet data are never required. Case files aren't required for the exercises either.

What determines the price, and what happens after the training ends?

Group structure, delivery format, customization depth, and location. We put a proposal together after a discovery call, once those four are settled. Your teams keep the prompt library and documentation templates. The review checklist built during the sessions stays with them too. Follow-up sessions can be scheduled later as adoption matures, though nothing beyond the core program is assumed going in.

AI Training · Web3 & Crypto Teams

AI Training for Web3 & Crypto Teams

Web3 and crypto organizations generate protocol documentation, code that needs review before a security firm signs off, compliance paperwork under fast-moving rules, and a constant stream of community and support conversation. This program shows engineering and compliance teams where generative AI helps with that load, and community teams work inside the same lane.

That lane stays strictly non-financial: no trading, no investment advice, no price calls, and no autonomous transactions. AI never substitutes for a qualified security auditor's or compliance officer's sign-off.

modules: 6
hours: 13

Some of the 500+ brands we've worked with

Selected brands we’ve worked with across industries.

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Ninety days. That's the length of the governed pilot this training ends with, and every day of it stays outside trading and custody. Wallets and keys remain out of scope, and the pilot never executes a trade.

Web3 and crypto organizations generate protocol docs, code awaiting security review, compliance paperwork, and constant community conversation across time zones — work generative AI handles well, but an ungoverned rollout creates real exposure. This training draws the line on purpose: no trading, token, or investment advice, no price predictions, no autonomous financial decisions, and no AI-assisted output substitutes for a qualified security auditor's or compliance officer's sign-off. Engineering, compliance, and community teams build one shared, specialist-verified workflow over roughly 12 hours, ending in a non-transactional 90-day pilot that touches neither wallets nor keys. The syllabus adapts to your organization type and jurisdiction; the AI training catalog covers neighbouring needs, and teams closer to general engineering than crypto-specific compliance often start with Claude Code training instead.

A strictly non-financial use of AI

Documentation, code review, and compliance work suit AI drafting, kept strictly apart from trading or investment advice.

Documentation outgrows any team's headcount

Protocol docs, SDK references, and community responses pile up across time zones faster than teams can staff for.

AI supports the review

Security sign-off and AML determinations stay with specialists; AI speeds up the drafting and flagging before their review.

The rules keep moving

With no single standard across jurisdictions, the workflow verifies sources and logs what a person confirmed.

Is this already happening without anyone signing off on it?

Developers and analysts already paste contract code and case notes into consumer chatbots without sanctioned limits.

01
AI foundations for Web3 and crypto organizations
90 minBeginner
This module gives participants a practical mental model for what generative AI does well across a Web3 or crypto organization. It also shows where AI must stay out entirely. Participants map their own organization type to a first, low-risk workflow before touching any live contract, ledger data, or compliance file.
How language models fail on Web3-specific jargon and edge cases
Mapping your organization, protocol, exchange, wallet, fund, or DAO, to a relevant workflow
What this training will not touch, trading, price prediction, investment advice
Hallucination risk in a fast-moving, jargon-heavy field
Picking a first pilot
02
Protocol and on-chain documentation
150 minIntermediate
The documentation load behind any protocol or product, developer guides, SDK references, whitepaper updates, and governance summaries, rebuilt as a reviewed AI-assisted workflow. Every draft gets checked against a primary source before a developer or the public sees it.
Drafting and maintaining protocol docs and SDK references, including developer guides
Turning spec changes and whitepaper updates into clear, versioned documentation
Summarizing governance proposals and forum discussions accurately
Keeping documentation consistent across a multilingual contributor base
Citing the specification or audit report instead of guessing
One review step before anything reaches developers or the public
03
Smart-contract review support
150 minAdvanced
AI can help development teams review contract code within a hard boundary that separates support from a security audit, and each exercise reinforces what only a qualified auditor may sign off.
Flagging vulnerability patterns
Where AI-assisted review helps: readability, test coverage, documentation gaps
Why this is not an audit, and what stays with a qualified auditor
Keeping repository access and private keys out, along with secrets
Fitting AI-assisted review into your existing static-analysis and audit pipeline
Recording what AI flagged versus what a human engineer confirmed
04
AML and travel-rule documentation for compliance support
150 minIntermediate
AI-assisted drafting helps with the paperwork that follows AML and the travel rule, as well as licensing obligations. A compliance officer verifies every fact and every determination. What AI never decides sits at the center of the workflow, stated plainly up front.
Mapping FATF and MiCA sources, including local regulations, without drawing legal conclusions
Drafting KYC/AML policy language and travel-rule documentation for review
Organizing case files and audit trails a compliance officer can verify quickly
Flagging false positives and bias risk in AI-assisted monitoring support
What AI never decides: sanctions and KYC, including AML determinations
Handoff points where a compliance officer signs off before filing
05
Community support for ecosystem operations
120 minIntermediate
Support tickets, Discord and Telegram threads, grant applications, and governance forums all run on text, and a bounded AI workflow handles a meaningful share of it. The module draws a firm line at scam response, moderation calls, and funding decisions, all of which stay human.
Drafting support and community responses from an approved knowledge base
Recognizing and escalating scam and phishing patterns instead of answering them
Multilingual community communication across Discord and Telegram, including forums
Grant and ecosystem-application triage and summarization support
Community sentiment and theme analysis for product and governance teams
Where a human moderator or grants lead hands off to another reviewer
06
Governance and a bounded pilot
120 minAdvanced
From scattered, ungoverned experiments to one workflow your organization can defend. Teams choose a first pilot that never touches a wallet or key and never executes a transaction. They leave with access rules and logging, while a rollback plan keeps the boundary in place.
Choosing a first workflow that touches no wallets or keys and no transactions
Access control and logging with audit trails for every AI-assisted workflow
Writing an AI usage policy for engineering and compliance teams alongside community staff
Quality and safety metrics
An incident and rollback procedure for AI-assisted outputs
A 90-day plan for a governed, non-transactional pilot

What you will learn

Match your organization type, protocol, exchange, wallet, fund, or DAO, to a first low-risk workflow
Draft protocol docs and governance summaries against a primary source
Issues flagged for specialist sign-off
Draft AML and travel-rule paperwork a compliance officer verifies before filing
Handle community conversations at volume, and still escalate every scam to a person
Grant and ecosystem triage with human review
Keep wallets, keys, private access out
A logged, reversible 90-day pilot

Who should attend

Engineering leads building protocol or platform infrastructure
Compliance and financial-crime officers at an exchange or wallet
Whoever runs community or support, including grants
Founders and COOs steering a Web3 or crypto company
DevRel and technical-documentation teams writing for developers
Anyone in L&D scoping governed AI adoption

About 12 hours can run across two days or shorter sessions around your release and reporting calendars. Onsite and live-online cover the same syllabus. Every exercise uses sanitized or synthetic examples.

Format: Onsite or live online
Duration: About 12 hours, scheduled as two days or shorter sessions
Group setup: Cohorts organized by engineering, compliance, and community roles
Language: English or Turkish
Materials: Prompt library, documentation templates, and a review checklist
Certificate: Certificate of completion

AI for Finance Teams6 modules · 13 hoursAI training built around what a finance team produces. Credit memos, board packs, and client letters drafted faster, contracts and statements read and checked in seconds, with a person confirming every figure before it reaches a client or a committee.View training

AI in Cybersecurity & SOC6 modules · 13 hoursAI training for cybersecurity and SOC teams, scoped to the knowledge-work layer around security operations: faster triage notes, incident write-ups, playbook documentation, and threat-intel summaries, with every detection and response call staying with an analyst.View training

Using AI in Software Teams6 modules · 13 hoursCode review support, technical documentation, test drafting, incident write-ups, and PR communication for engineering teams, tool-neutral by design and built around whatever stack your team already runs.View training

Fine-Tuning & LLMOps6 modules · 14 hoursTwo-day applied training for AI engineering teams on the full model adaptation lifecycle: the fine-tuning decision, dataset engineering, SFT and PEFT, evaluation, deployment, and ongoing LLMOps.View training

Identify the organization type and start with the engineering or compliance workflow worth piloting first. A community workflow may be the better entry point. We will scope a non-financial, non-transactional program around that boundary.

Two colleagues updating a workflow board and checking a process change

Which roles get the most from this?
Engineering and compliance teams alongside community and ecosystem staff at protocols, exchanges, wallets, or crypto-native companies. We shape cohorts and exercises around each group's workflows and information boundaries, since a protocol foundation and a centralized exchange face different obligations.
Does this training give investment or trading advice, including price calls?
No, and it never will. The program is strictly non-financial: no trading signals, no token recommendations, no price predictions, no investment advice, in the training or in any workflow it teaches. Every exercise stays inside documentation, review support, compliance drafting, and community operations.
Does the training teach AI to sign off on smart-contract security?
No. AI-assisted review can flag common vulnerability patterns, suggest test cases, and highlight documentation gaps, but a qualified security auditor still signs off on any contract before deployment. The module is explicit about that boundary so no team mistakes review support for an audit.
Do participants need a technical or compliance background?
Participants need no single background. Engineers, compliance analysts, and community managers can attend combined or separate sessions depending on the workflows you want to improve, and exercises are grouped so each role gets examples that match its daily work.
How does the training handle AML and the travel rule, alongside other regulatory topics?
It stays inside documentation support. Participants learn to map regulatory sources and draft policy language with audit-trail records. They also flag uncertainty for a compliance officer to resolve. The training does not tell your organization what the law requires.
How long, and is it remote or onsite?
About 12 hours, onsite or as live online sessions, usually split across two days or shorter blocks around release schedules and reporting deadlines.
Can the syllabus adapt to our protocol or product, including its jurisdiction?
It does, starting with a discovery call: your organization type, approved tools, and sanitized examples of the documents and conversations you handle. From there we adjust the modules and depth. Sensitive keys and wallet data are never required. Case files aren't required for the exercises either.
What determines the price, and what happens after the training ends?
Group structure, delivery format, customization depth, and location. We put a proposal together after a discovery call, once those four are settled. Your teams keep the prompt library and documentation templates. The review checklist built during the sessions stays with them too. Follow-up sessions can be scheduled later as adoption matures, though nothing beyond the core program is assumed going in.

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AI Training for Web3 & Crypto Teams