From AI understanding to real implementation.

The AI curriculum shows how founders and teams move beyond tool chaos into real application, governance, and an ongoing learning rhythm.

FoundationsSolution tracksImplementationOngoing guidance
Kai Zimmer as guide for the AI curriculum
3 layersfrom understanding to rollout
90 daysfirst implementation frame
1 systeminstead of isolated videos

How the curriculum is structured

Not by isolated tools, but by learning stages with direct business relevance.

1. Foundations

Models, terminology, tool landscape, and the difference between hype and dependable usage.

2. Solution tracks

Sales, service, back office, content, team knowledge, and governance as real problem spaces.

3. Implementation

Prompts, workflow logic, roles, approvals, privacy, and pilot setup design.

4. Ongoing guidance

Membership and live calls make sure the learning stays current and actionable.

Weekly AI live calls are now embedded across the site.

Every Thursday at 23:00 Asia/Ho_Chi_Minh, the format gives a compact mix of market filtering, practical cases, questions, and clear next steps.

Thursday, June 18, 2026 at 23:00 · Asia/Ho_Chi_Minh1x per weekLive Q&A
  • for founders, teams, and operational decision-makers
  • built around real business cases instead of AI theatre
  • including a start calendar and a fixed kickoff series

The first series starts on June 18, 2026 and then continues weekly.

Live session and team enablement scene

The first 90 days inside the learning system

This is how first interest turns into a serious implementation frame.

1

Day 1 to 30

Set foundations, terminology, and tool understanding properly through the free course.

2

Day 31 to 60

Choose one solution track and work through a first real business case in a structured way.

3

Day 61 to 90

Translate workflow logic, roles, and governance into your own company context.

4

Then ongoing

Use live calls and Membership to stay aligned with market shifts, new tools, and open questions.

Who this learning path is for

Especially for people who do not just want to understand AI, but translate it into real work cleanly.

  • Founders who need a clear sequence instead of tool overload
  • Teams that want to build foundations and implementation logic at the same time
  • Operators who have to filter new tools by relevance, not by noise
  • Organizations that want to connect live calls, Membership, and later implementation coherently

Questions about the curriculum

Do I need to work through the curriculum linearly?

For beginners, yes, because the sequence is intentional. Teams with prior exposure can prioritize certain tracks, but should not skip the foundations.

Is the curriculum more theory or more practice?

It is designed as a mix. Foundations create understanding, while tracks and implementation blocks translate that into real work logic.

When do live calls or Membership become the right next step?

As soon as you are moving from understanding into prioritization, open questions, or first implementation friction, live calls and Membership become valuable.

Discuss the learning path

Tell us what role you have and where you currently stand in your AI learning and rollout journey.

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Start potential analysis

If you want to prioritize a real process, a few clear inputs are enough for a strong first assessment.

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