How 'AI for All' will be implemented

1. Needs Assessment: Diagnosis of the local ecosystem and identification of specific demands.

2. Laboratory Infrastructure: Setting up the space with equipment, software, and training resources.

3. Development of Training Programs: Creation of practical courses and workshops for different audiences.

4. Partnerships and Support Networks: Consolidation of alliances with universities, international entities, and local companies.

5. Professional Training: Training for teams from companies, startups, and public institutions.

6. Pilot Projects and Tests: Development of prototypes and testing of AI solutions applied to the regional context.

7. Knowledge Dissemination: Events, lectures, and publications to broaden the project's reach.