CREATING PSYCHOLOGICALLY SAFE LEARNING ENVIRONMENTS AND HIGH PERFORMING FUN TEAMS
We integrate EI with AI learning because adapting to this new world isn’t just about technology, it’s about people.
Our approach gives our learner community the dual edge of AI literacy and emotional intelligence to lead, adapt, communicate and innovate responsibly with impact and clarity.
AI & EI Course
10-Week Learning Circle Program (Virtual)
Learn to save time, reduce costs, and solve everyday business problems with Generative AI and Agentic Automation—guided by the power of Emotional Intelligence.
In this beginner-friendly 10-week program hosted by Charles Collins and Zena Tuitt-Collins, with multi-disciplinary experts and guest speakers you’ll join a safe, supportive learning circle where curiosity is welcomed and no question is too small.
Together, we’ll explore how AI and automation can simplify your workflows, free up your energy, and unlock new opportunities while keeping ethics and human values at the core.
Start with Emotional Intelligence: Do the Assessment and get feedback to increase your self-awareness. Apply EI to build an ethical, thoughtful approach to AI tools.
Master Generative AI: Learn how to prompt effectively and use AI for writing, planning, and creative problem-solving.
Explore Agentic Automation: Discover how to connect tools and automate simple, repetitive business tasks.
Save Time & Money: Identify where AI can reduce costs and give you back hours each week.
Stay Human-Centered: Design AI solutions that respect people, emotions, and relationships.
By the end of the course, you’ll have a practical AI toolkit, a tested mini-automation solution tailored to your business, and the confidence to navigate the new AI era with skill, clarity, and purpose.
This isn’t just about learning tools, it’s about creating a future where technology supports human potential.
Guiding Principles
Psychological Safety: Everyone learns at their own pace, no “dumb” questions.
Emotional Intelligence Lens: All tools and practices are framed through the MSCEIT² domains (Perceive, Connect, Understand, Manage).
Practical Problem-Solving: Each week ends with a small experiment to apply learning to real, simple business tasks using the Emotional Maths SUMMS project management methodology.
Collective Reflection: Circles closed with group sharing, feedback, and emotional processing.
Course Framework
Week 1 – Emotional Intelligence & Ethics in AI: Understand how EI skills help navigate AI ethically.
Week 2 – Introduction to Generative AI: Gain a foundational understanding of what generative AI is, how it works, and how it can support business needs.
Week 3 – Everyday Business Problem-Solving with AI: Identify and apply AI to simple, repetitive business tasks that consume time and money.
Week 4 – Introduction to Agentic Automation: Learn how to connect tools to work together automatically and reduce manual effort.
Week 5 – Prompt Engineering as an EI Skill: Develop the ability to create prompts that are precise, ethical, and empathetic.
Week 6 – Saving Money with AI & Automation: Identify areas where AI can cut costs and improve efficiency.
Week 7 – Designing Customer-Centered AI Solutions: Build AI applications that enhance not harm customer trust and relationships.
Week 8 – Stress, Burnout & AI as Support: Use AI as a tool to reduce cognitive and emotional overload.
Week 9 – Building Safe, Inclusive AI Practices: Understand how to apply ethical, inclusive, and privacy-aware practices in AI projects.
Week 10 – Capstone Project & Showcase: Apply all skills to a real business challenge and reflect on growth.
A Zoom link and course details will be sent with once place is reserved. The learning circles will have a maximum of 12 members.
Want to play a quick game? Look at the course profile and spot the AI created mistakes
-
-
Lesson 1: Emotional Intelligence & Ethics in AI
Objective:
Understand how EI skills help navigate AI ethically.
Content:
EI domains (Perceive, Connect, Understand, Manage) in decision-making.
Recognizing bias, fairness, and transparency in AI.
How emotions influence ethical choices in automation.
Objective:
Understand how EI skills help navigate AI ethically.
Content:
EI domains (Perceive, Connect, Understand, Manage) in decision-making.
Recognizing bias, fairness, and transparency in AI.
How emotions influence ethical choices in automation.
-
-
-
Lesson 2: Introduction to Generative AI
Objective:
Gain a foundational understanding of what generative AI is, how it works, and how it can support business needs.
Content:
What is generative AI? Key differences from traditional software.
Survey of tools (ChatGPT, Claude, Gemini, MidJourney, etc.).
Basics of prompting: clarity, context, and specificity.
Objective:
Gain a foundational understanding of what generative AI is, how it works, and how it can support business needs.
Content:
What is generative AI? Key differences from traditional software.
Survey of tools (ChatGPT, Claude, Gemini, MidJourney, etc.).
Basics of prompting: clarity, context, and specificity.
-
-
-
Lesson 3: Everyday Life/Business Problem-Solving with AI
Objective:
Identify and apply AI to simple, repetitive business tasks that consume time and money.
Content:
Mapping “time leaks” in business (emails, planning, content creation).
Matching everyday problems to AI solutions.
EI application: Perceiving when automation helps versus when it overwhelms.
Objective:
Identify and apply AI to simple, repetitive business tasks that consume time and money.
Content:
Mapping “time leaks” in business (emails, planning, content creation).
Matching everyday problems to AI solutions.
EI application: Perceiving when automation helps versus when it overwhelms.
-
-
-
Lesson 4: Prompt Engineering as an EI Skill
Objective:
Develop the ability to create prompts that are precise, ethical, and empathetic.
Content:
How prompts shape outcomes (clarity, inclusivity, accuracy).
Avoiding harmful outputs: stereotypes, bias, misinformation.
EI lens: Connecting emotions with prompt design for better human-centered results.
Objective:
Develop the ability to create prompts that are precise, ethical, and empathetic.
Content:
How prompts shape outcomes (clarity, inclusivity, accuracy).
Avoiding harmful outputs: stereotypes, bias, misinformation.
EI lens: Connecting emotions with prompt design for better human-centered results.
-
-
-
Lesson 5: Introduction to Agentic Automation
Objective:
Learn how to connect tools to work together automatically and reduce manual effort.
Content:
What is agentic automation?
Tool overview: Zapier, Make, n8n, UiPath basics.
EI lens: Understanding team members’ feelings about automation (empowerment vs. displacement).
Objective:
Learn how to connect tools to work together automatically and reduce manual effort.
Content:
What is agentic automation?
Tool overview: Zapier, Make, n8n, UiPath basics.
EI lens: Understanding team members’ feelings about automation (empowerment vs. displacement).
-
-
-
Lesson 6: Saving Money with AI & Automation
Objective:
Identify areas where AI can cut costs and improve efficiency.
Content:
Spotting financial “leaks” (manual processes, outsourcing, wasted time).
Case studies of small businesses saving money with AI.
EI tie-in: Understanding the emotional resistance to shifting from “human-only” to “AI-supported” processes.
Objective:
Identify areas where AI can cut costs and improve efficiency.
Content:
Spotting financial “leaks” (manual processes, outsourcing, wasted time).
Case studies of small businesses saving money with AI.
EI tie-in: Understanding the emotional resistance to shifting from “human-only” to “AI-supported” processes.
-
-
-
Lesson 7: Designing Customer-Centered AI Solutions
Objective:
Build AI applications that enhance—not harm—customer trust and relationships.
Content:
Understanding customer emotions and needs.
Best practices for AI in customer service.
EI integration: Using empathy to design AI touchpoints.
Objective:
Build AI applications that enhance—not harm—customer trust and relationships.
Content:
Understanding customer emotions and needs.
Best practices for AI in customer service.
EI integration: Using empathy to design AI touchpoints.
-
-
-
Lesson 8: Stress, Burnout & AI as Support
Objective:
Use AI as a tool to reduce cognitive and emotional overload.
Content:
Recognizing burnout signals in self and team.
Identifying which tasks drain vs. energize.
EI lens: Managing emotions when delegating to machines.
Objective:
Use AI as a tool to reduce cognitive and emotional overload.
Content:
Recognizing burnout signals in self and team.
Identifying which tasks drain vs. energize.
EI lens: Managing emotions when delegating to machines.
-
-
-
Lesson 9: Building Safe, Inclusive AI Practices
Objective:
Understand how to apply ethical, inclusive, and privacy-aware practices in AI projects.
Content:
Inclusive design principles for diverse users.
Data privacy basics every small business must know.
EI tie-in: Managing emotions in conversations about safety and inclusion.
Objective:
Understand how to apply ethical, inclusive, and privacy-aware practices in AI projects.
Content:
Inclusive design principles for diverse users.
Data privacy basics every small business must know.
EI tie-in: Managing emotions in conversations about safety and inclusion.
-
-
-
Week 10: Capstone Project & Showcase
Objective:
Apply all skills to a real business challenge and reflect on growth.
Content:
Designing AI + automation solutions for real-world tasks.
Using the SUMMS™ model (See – Understand – Make – Manage – Sustain) for future projects.
Group reflection on the learning circle journey.
Objective:
Apply all skills to a real business challenge and reflect on growth.
Content:
Designing AI + automation solutions for real-world tasks.
Using the SUMMS™ model (See – Understand – Make – Manage – Sustain) for future projects.
Group reflection on the learning circle journey.
-