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.

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.
- 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.

The first 90 days inside the learning system
This is how first interest turns into a serious implementation frame.
Day 1 to 30
Set foundations, terminology, and tool understanding properly through the free course.
Day 31 to 60
Choose one solution track and work through a first real business case in a structured way.
Day 61 to 90
Translate workflow logic, roles, and governance into your own company context.
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.
Start potential analysis
If you want to prioritize a real process, a few clear inputs are enough for a strong first assessment.