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LAN Cloud AI

LAN CLOUD AI / PRACTICAL AI TRAINING

Learn AI by
making something work.
做成一件事。

A business brief, a tool of your own, or an application for your team. Build your skills around work you can review and improve.

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FDE program
84hours
Lessons prepared
2lessons
Learning paths
3paths
Enterprise course
3days

Learning Paths

Start with your goal. Find your way in.

Begin with an everyday task, or bring a business problem. Three paths for different goals and levels of commitment.

Individuals / Everyday work

LAN Practical AI Lessons

  • 2 lessons prepared
  • Practice materials included

Start with a concrete task. Practice setting requirements, preparing inputs, and checking results, then adapt an AI-built tool into a project of your own.

  • Lesson 01: Complete my first business brief
  • Lesson 02: Make a small tool my own

WorkBuddy is the current demonstration tool. Contact us for course arrangements and upcoming content.

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Enterprise teams / A business problem

Three-Day Enterprise AI MVP Course

  • 3 tailored days
  • 1 business use case
  • Build and test an MVP

Define one business use case, design its workflow, and build and test an AI tool prototype. We agree on scope and intended outcomes before the course.

  • Intended output: a problem definition, workflow, and working prototype
  • Validation: check requirements with normal, edge, and failure cases
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Structured development / Business to delivery

FDE Development Program

  • 21 lessons / 84 hours
  • Foundation / Builder / Delivery
  • Public schedule

For people who translate business needs into applications. Connect AI foundations, discovery, modular development, and delivery reviews, with automotive examples as learning material.

  • Learning goal: move from a business problem to a full-stack MVP
  • Advanced topics: reliability, security, evaluation, and customer delivery
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Principles

Make every step of learning something you can review.

From a task to a project, and back to your work. Learn how to ask for an outcome and how to judge it.

01 Define the task State the goal, inputs, boundaries, and completion criteria.
02 Build something yourself Develop skills through courseware, practice, and hands-on revisions.
03 Check and improve Validate results with specific cases and apply the method at work.

What would you like to accomplish with AI next?

Tell us about your role, business problem, and learning goals. We will help identify the right course path.