Our education and training programs are designed to help educators, faculty, staff, and professionals develop practical skills they can use immediately. The focus is not on tools alone, but on understanding how technology, systems, and workflows support better outcomes across teaching, research, and operations.
Learning is structured, accessible, and grounded in real-world application.
Education & Training | Practical AI, Automation, and Systems Learning
Learning that endures is learning that can be applied.
Learning With Purpose
Education and training are most effective when they are grounded in real work and real decisions. This approach emphasizes understanding over memorization and application over theory.
Each engagement is designed to help participants think more clearly about how technology, systems, and workflows support teaching, research, operations, and everyday problem solving. The focus is on building confidence, practical judgment, and the ability to adapt knowledge responsibly as tools and environments change.
Training is structured to meet participants where they are, while equipping them with skills that remain useful beyond a single session.
Learning Begins With Leadership
Training formats are flexible and designed to meet institutional needs.
Meaningful learning only occurs when leadership creates the conditions for it. Training is most effective when leaders value curiosity, allow time for exploration, and support application beyond the session itself.
These engagements are designed to work in environments where learning is encouraged, questions are welcomed, and growth is treated as a strategic priority rather than a task to complete. When leaders model openness and engagement, training becomes a catalyst for lasting change.across multiple cohorts using the same curriculum.
FAQs
What types of training do you offer?
Training focuses on practical, real-world use of technology, systems, and workflows. Sessions are designed to build confidence and understanding rather than technical dependency.
Topics may include:
- AI for productivity, research support, content creation, and everyday work tasks
- Automation concepts and workflow design
- Introduction to robotic process automation using platforms such as UiPath
- Excel for analysis, reporting, and operational use
- Data fundamentals, dashboards, and decision support
- Responsible and governed use of AI in institutional settings
- Collaboration and productivity tools for education and operations
- Excel for analysis, reporting, and operational decision support
- Tableau for data visualization and dashboard interpretation
- Power BI for reporting, performance tracking, and leadership insights
- Google Sheets, Docs, and Drive for collaboration and workflow efficiency
- UiPath for understanding and applying robotic process automation concepts
- Python and Jupyter notebooks for introductory data and analytical thinking
- Canva for presentations, instructional materials, and visual communication
- Generative AI tools for research support, content development, and productivity
- NotebookLM, ElevenLabs, and Dzine for applied AI use cases
- Typeform for data collection and process intake design
- ChatGPT for productivity, drafting, research support, and everyday work tasks
- Gemini for information synthesis and applied reasoning
Training content is always adapted to the audience and institutional goals.
Who is the training designed for?
Training is appropriate for:
- K-12 teachers, administrators, and district staff
- College and university faculty
- Academic support and administrative teams
- Institutional research and operations staff
- Entrepreneurs and business owners
- Professionals with little to no technical background
No prior experience with AI, automation, or analytics is required.
What training formats are available?
Training formats are flexible and designed to meet institutional needs.
The preferred format is in person, ideally in a computer lab or classroom where participants can follow along on laptops or desktops. Hands-on practice accelerates learning and confidence.
Additional formats include:
- In-person lecture-style sessions without computers
- Virtual sessions
- Hybrid delivery
Training can be delivered once or repeated across multiple cohorts using the same material.
How long are the training sessions?
Training sessions may be structured as:
- Three-hour workshops
- Half-day or full-day sessions
- Multi-day engagements
- Cohort-based series
Session length and structure are determined collaboratively based on goals and audience.