EventBinder Limited · Hong KongCustom systems · software · data · connected equipment

EventBinder Limited · Education & Training

Practical AI and data training for teams

Led by Kenta Ng, Visiting Lecturer in Data Science at PolyU and EventBinder's delivery lead. Each class is proposed around the participants, required skills and available time.

Explore programmes

01 / HOW YOU LEARN

What the training includes

01

A named programme lead

Kenta Ng combines current system-delivery and research work with university teaching experience.

02

A guided practical exercise

Participants apply the lesson to a realistic task and receive feedback on the result.

03

Cantonese & English

Classes can be taught in Cantonese or English. We confirm the language and course materials before the class.

04

Training for your organisation

We can adjust the topics for your staff, teach on site or online, sign a confidentiality agreement and invoice your organisation.

02 / PROGRAMMES

Choose the skills your team needs

01
Course 01

AI-assisted software development

Use AI coding tools to plan, build, test and release software

For
Software developers, engineering leads, computer-science students.
Schedule
Agreed for each class
Format
Live online or at the client's venue
Fee
Written quotation before confirmation
What you will learn

TOPICS

  1. 01

    Module 1 — Prompt engineering for code: writing effective instructions, scoping tasks, controlling diffs.

  2. 02

    Module 2 — Modern AI IDEs: Claude Code, Cursor, Copilot — workflows, agents, sub-agents, MCP tools.

  3. 03

    Module 3 — Test-driven AI development: generating tests first, validating output, regression safety.

  4. 04

    Module 4 — Codebase navigation at scale: refactoring legacy systems, large-context review, secure diffs.

  5. 05

    Module 5 — Deployment & CI: AI-assisted code review, automated PRs, release pipelines.

  6. 06

    Capstone — Ship a full-stack feature end-to-end using AI tooling.

02
Course 02

AI for marketing work

Research customers, prepare content and measure marketing results with AI

For
Marketers, growth managers, organisation leaders, content creators.
Schedule
Agreed for each class
Format
Live online or at the client's venue
Fee
Written quotation before confirmation
What you will learn

TOPICS

  1. 01

    Module 1 — Customer research with AI: interview synthesis, JTBD extraction, persona generation.

  2. 02

    Module 2 — Content engine: long-form, short-form, SEO clusters, brand-voice fine-tuning.

  3. 03

    Module 3 — Ad creative at scale: image, video, and copy variants for Meta, Google, LinkedIn, RedNote.

  4. 04

    Module 4 — Attribution & analytics: event tracking, multi-touch attribution, automated reporting.

  5. 05

    Module 5 — Marketing automation: email, WhatsApp, WeChat funnels with LLM-driven personalisation.

  6. 06

    Capstone — Launch a campaign measured end-to-end with AI-generated assets.

03
Course 03

Data engineering and reporting

Build reports that remain fast and useful as records grow

For
Data engineers, analytics leads, technical PMs, backend developers.
Schedule
Agreed for each class
Format
Live online or at the client's venue
Fee
Written quotation before confirmation
What you will learn

TOPICS

  1. 01

    Module 1 — Data modelling foundations: OLTP vs OLAP, star schema, slowly changing dimensions.

  2. 02

    Module 2 — Ingestion pipelines: Kafka, batch ETL, change data capture, schema evolution.

  3. 03

    Module 3 — Warehouse engineering: ClickHouse, BigQuery, partitioning, materialised views.

  4. 04

    Module 4 — Stream processing: real-time aggregation, windowing, late-arriving data.

  5. 05

    Module 5 — Observability & cost: query plans, billing, governance, data quality monitors.

  6. 06

    Capstone — Design and ship a multi-tenant analytics pipeline on real event data.

03 / ENROLMENT

Ask about training

Tell us who will attend, what they need to learn, the preferred language and suitable dates. We will reply with a proposed outline and quotation.

  1. 01

    Enquire

    Send the team size, current experience, learning goal and preferred dates.

  2. 02

    Review the proposal

    We provide a written outline, teaching format, timetable and fee for approval.

  3. 03

    Confirm the class

    After both sides confirm the arrangement, we prepare the teaching materials and class details.

04 / FAQ

Frequently Asked Questions

01

Do I need prior programming experience?

AI Coding Bootcamp assumes basic JavaScript or Python familiarity. AI Marketing Mastery has no coding prerequisite. Big Data Engineering expects working SQL knowledge.

02

How are dates and fees confirmed?

We provide a written proposal showing the class format, dates, fee and payment terms before you confirm.

03

What do participants receive?

The proposal states the included teaching materials, exercises and any agreed record of attendance or completion.

04

Can my organisation arrange a private cohort?

Yes. We deliver custom on-site or remote cohorts for organisation teams. Contact us with team size, focus areas and preferred dates for a tailored quote.