# AI Automation and Blockchain Training for Your Team

> AI automation and blockchain training plus Web3 consulting: process automation, MCP backends for AI agents, and practical classes that use your own systems as the material.

**URL:** https://www.ciptadusa.com/en/services/training  
**Service:** AI, Blockchain & Training  
**Focus keyword:** AI automation and blockchain training  
**Keywords:** AI automation Indonesia, MCP server, AI agent backend, blockchain consulting, Web3 development, IT training, engineering training, security awareness  
**Hub:** https://www.ciptadusa.com/en/services

Automate processes with AI, build MCP backends for agents, consult on blockchain/Web3 when the technology genuinely fits, and run practical training that uses your own code and systems as the material.

## Three Enablement Areas

### AI automation

Turn repetitive work into automated flows: document extraction, request classification, report summarisation, and inbound message triage.

### MCP & AI agent backends

Wrap internal systems into MCP tools an agent can call, complete with authentication, access limits, and an audit trail.

### Blockchain/Web3 consulting

Assess whether blockchain solves the problem, then design a system that integrates the ledger into processes already in place.

## Training Tracks

Practical classes for engineering and operations teams. Material is adapted to the repositories and systems your team uses daily.

### Modern Web Engineering — Intermediate · 2 days

Build and maintain modern web applications: components, state, styling, and performance.

- React & components
- Routing & data fetching
- Styling & design tokens
- Accessibility basics
- Performance tuning

### Cloud & DevOps Basics — Beginner–Intermediate · 2 days

Deploy and operate applications on cloud infrastructure without waiting on an infra team.

- Cloudflare Workers basics
- Environments & secrets
- CI/CD pipelines
- Baseline observability
- Safe rollbacks & releases

### Git & Team Collaboration — Beginner · 1 day

A Git workflow that stops teammates from overwriting each other.

- Branching & pull requests
- Healthy code review
- Conflict resolution
- Releases & tags
- Commit habits

### Security 101 — All levels · 1 day

Application security fundamentals and safe habits for product teams.

- OWASP basics
- Secret management
- Authentication & authorisation
- Handling sensitive data
- Incident response

### AI Automation & MCP — Intermediate · 2 days

Build AI automation that is safe for production, from prompt to MCP tool.

- Designing automation flows
- Prompts & evaluation
- MCP tools & access rules
- Human-in-the-loop limits
- Measuring outcomes

## What You Receive

- Tailored training modules
- Example code & practice repository
- Session recordings
- Exercises & answer keys
- Attendance certificates
- 30-day follow-up session

## Four Training Steps

Every track is designed with you before the first class.

1. **Assess** — Map team level and the systems in use, then choose tracks and depth of material.
2. **Curriculum** — Build modules around example code from your own repositories, not generic case studies.
3. **Deliver** — Hands-on classes with live exercises; every participant works on the real system.
4. **Follow-up** — A follow-up Q&A session and recorded material so the knowledge survives past the class.

## Questions Before You Start

### Can training be delivered online?

Yes. We run classes on-site at your office, online, or a mix of both depending on where participants are.

### How many participants per class?

Five to fifteen. Beyond that, hands-on practice tends to collapse into a presentation and results drop.

### Can the material match our own systems?

Yes — that is the default. We use your repositories, pipelines, and processes as the material so participants practise what they actually work on.

### Do you support the team after training?

Yes. Every engagement includes a 30-day follow-up session for further questions, plus recordings and exercises so the team can revise on its own.

### Do you always recommend blockchain?

No. We recommend blockchain only when the problem genuinely needs a shared ledger, auditability, or digital assets — and we will say plainly when a normal database is cheaper and simpler.

## Related

- [Client works](https://www.ciptadusa.com/works): Delivery case studies
- [Blog](https://www.ciptadusa.com/blog): Engineering notes and studio practice

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*Markdown version of https://www.ciptadusa.com/en/services/training — generated for AI agents and LLM crawlers.*