- Overview of AI tools, not limited to ChatGPT, Claude, Gemini and Copilot
- Differences between traditional and generative AI; key concepts
- Capabilities, limits and common errors (hallucinations)
- General ethics, risks and benefits
- First use cases for the participant's role
AI workshops tailored to your organization
From a one-hour talk to a multi-day bootcamp. Start from our core topics or tell us what you need.
AI training focused on ethics, compliance and sustainable development.
- UPR Ponce
- UPR Carolina
- UPR Aguadilla
- UPR Bayamón
- UPR Mayagüez
Core topics
A starting point. Combine several or tell us what you need.
- Prompt template (role, context, task and format)
- Iterating and refining results
- Reusable prompts for recurring tasks
- Quality evaluation and verification of the result
- The participant's personal prompt library
- Main risks and algorithmic bias
- Protecting personal and institutional data
- Social engineering and AI-assisted impersonation (deepfakes)
- Preventing hallucinations and verifying output
- Regulatory considerations and internal use policies
- Diagnosis of processes and AI opportunities
- Prioritizing use cases by impact, risk and effort
- Internal use policy and data governance
- Selecting and evaluating tools, not limited to Microsoft Copilot, Google Gemini and ChatGPT
- Change management and staff training
- A 90-day roadmap for the participant's organization
- Generating research questions
- Advanced search and reliable sources
- Summarizing and comparing academic literature
- Checking citations and preventing false references
- Structuring arguments and drafts
- Proposals, reports and formal letters
- Abstracts and responses to calls for proposals
- Controlling tone, style and institutional format
- Assisted review and editing
- Checking facts before submission
- Email management, summaries and automatic notes with AI tools or other project management technology, not limited to what the organization already uses
- Agendas, minutes and follow-up on agreements
- Translations and format conversion
- Workflow automation with forms and spreadsheets
- Designing the participant's own automated workflow
- SWOT analysis and assisted strategic maps
- Simulated scenarios and analysis of alternatives
- Structured decision models
- Action plans with tracking metrics
- Exercise on a real decision in the organization
- Step-by-step explanation of concepts
- Generating examples and practice exercises
- Targeted review and exam preparation
- Designing personalized study experiences
- Honest academic use and its limits
- Objectives, outcomes and assisted curriculum alignment
- Learning sequences and lesson scripts
- Activities, examples and materials differentiated by level
- Designing modules for online platforms
- Prototype of the participant's own module
- Overview of image, video and music generation tools, not limited to Midjourney, Sora and Suno
- Writing effective visual instructions
- Promotional pieces and educational materials
- Rights, attribution and fair use
- Producing a piece of the participant's own
- Monthly content calendar generated and adjusted
- Text, images and short videos with AI, not limited to Canva and CapCut
- Ads and promotions on a small budget
- Rights, attribution and fair use of images
- Producing a week of content for the participant's organization
- What an agent is and when to use one
- Breaking a real process into steps
- Designing the flow with human checkpoints
- Orchestration tools, not limited to Zapier, Make and n8n
- Prototype on a process of the participant's
- Basic data concepts and data quality
- Cleaning and organizing with AI support
- Visualization and dashboards, not limited to Excel, Google Sheets and Looker Studio
- Critical reading of metrics and indicators
- A starter dashboard on the organization's data
- Connecting with forms, CRMs and education systems
- Automating flows between platforms
- Integration cases by sector
- Security criteria and data governance
- Integration map for the participating organization
- Computational thinking to break problems into steps
- Code fundamentals with an AI copilot
- From prompt to prototype, building a small and useful tool
- Reading and debugging generated code
- Best practices and limits of assisted programming
- Go to the proposal
Tell us your topic
If you do not see yours, we design it with you.
A format for every need
From a short talk to a multi-day bootcamp. Pick one or leave it for later.
- Sessions1 hour
An introduction for large audiences and events.
- Sessions2 to 3 hours
A hands-on session on one topic, adapted to your group.
- SessionsTailored to you
Training for an organization's staff.
- ProgramsSeveral days or sessions
Consecutive days of immersion for cohorts.
Special projects
For initiatives larger than a training. We define the scope with you.
- Research and development
For institutional or academic research and development projects with federal sponsorship.
- Events
Support for part or all of the planning and execution of your hackathon or competition.
Ready-made combinations
Paths of four topics each, with an optional certificate of participation, offered directly or through your institution's continuing education. Add one in full and adjust it if you like.
AI Applied to Work path
Generative AI from scratch, Effective prompts, Task automation, Security, ethics and privacy
AI for Teaching path
Generative AI from scratch, Learning and tutoring, Image, video and multimedia, Security, ethics and privacy
Data and Automation for Small Businesses path
Data and analytics, Task automation, AI in your platforms, Decisions and planning
Adopting AI in your organization in Puerto Rico
Answers for those weighing how to bring artificial intelligence to their team in Puerto Rico.
How do you choose artificial intelligence training for your organization in Puerto Rico?
The supply of AI training has grown quickly in Puerto Rico as more organizations look to adopt it, and providers vary widely in technical background, experience and approach, so it helps to look at who delivers it before deciding. Calling yourself an AI expert requires no credential, and today's tools can change within months, so the technical judgment of the person teaching matters more than the list of tools on offer. Ask whether the team has a technical background, whether it has built solutions with these tools, which institutions it has worked with and whether it can give you references. Evolving Space Corporation is a 501(c)(3) nonprofit working in AI since 2022, with a team of software, computer and mechanical engineers who design its training and build open civic software with communities. It has trained more than 500 university faculty across more than 12 campuses, including the University of Puerto Rico system, and has held more than 100 workshops, congresses and hackathons with faculty, students and public servants.
Where should an organization start with artificial intelligence?
Start with two or three repetitive tasks that already take up your team's time, not with the tool. Try AI on those tasks with non-sensitive data, measure the time saved and agree on rules of use before expanding.
How can we use AI without exposing our organization's data?
Before adopting a tool, review its privacy terms and whether it uses what you type to train its models. Keep personal and confidential data out of accounts your organization does not control, and have a person review every result before using it.
Is live training or an online AI course the better choice?
An online course works for learning concepts at your own pace. Live training makes sense when a team needs to practice on its own tasks, get questions answered on the spot and leave with shared agreements on how to use AI.
Where in Puerto Rico have you worked?
We have worked with University of Puerto Rico campuses in Arecibo, Ponce, Carolina, Aguadilla, Bayamón and Mayagüez, among others. We have also organized hackathons such as OESTECH Hackfest in Mayagüez.
How much does it cost to train a team in artificial intelligence?
The cost depends on the format, the topics and the size of the group, so each organization receives a tailored proposal.
Our commitments
Artificial intelligence changes fast and affects real people. This is how we work.
Up-to-date syllabi
AI tools change every few months. We review our syllabi regularly and adapt each training to the tools current at the time we deliver it. Reviewed in November 2026.
Responsible use
AI can make mistakes. We teach people to check its results and to keep a person accountable for every decision. Our training does not replace legal, medical or financial advice.
People first
We teach AI as a way to strengthen people's work, not replace it, with care for privacy, fairness and community access.
Certificate of participation
Each training can include an optional certificate of participation from Evolving Space. It is not a professional license, and continuing education hours depend on the institution that grants them.
ChatGPT, Gemini, Copilot, Claude, Perplexity, Canva, Midjourney and other tools mentioned are trademarks of their respective owners. Evolving Space is not affiliated with those companies.