Responsible AI Competency

Practical Skills, Better Judgment, Safer Use

Most people are either avoiding AI out of uncertainty or using it without a reliable method for getting trustworthy results. This program closes that gap — with hands-on skill-building, real work, and the judgment to know when to trust the output and when to push back.

Level 1
Core Competency
You walk out using it. You've done real work on real tasks, and you'll do it again Monday.

AI tools are everywhere — and most people are either avoiding them out of uncertainty or using them without a clear method. The result is inconsistent output, wasted time, and risk they don't see coming.

The gap isn't access to AI.
It's knowing how to use it.

This level gives every participant a reliable foundation — a structured approach to prompting, the judgment to verify what AI produces, and the confidence to use it on real work starting the same day.

Who This Is For

Staff and individual contributors across industries — in private, public, and nonprofit organizations — who want to use AI confidently, safely, and in ways that produce real results on real work.

What You'll Learn
Structured prompt scaffolding — a repeatable framework for getting quality output
Everyday work tasks — drafting, distilling, preparing, synthesizing, critiquing, brainstorming
Tool discernment — knowing which AI tool fits which job
Output verification — catching errors and hallucinations before they reach anyone
Data safety and privacy — what's safe to share and what isn't
Follow-up techniques — refining and pressure-testing AI output
Understanding context — workspace setup, projects, persistent context
Workflow design — identifying which recurring tasks AI fits
AI for learning — using AI to learn faster and deeper
AI workspace setup — configured for your recurring tasks
How AI actually works — and why it gets things wrong
What You Leave With
→ Tested prompts built on your own real work
→ A configured AI workspace ready for Monday
→ A prompting framework and reference toolkit
→ A data safety reference
→ A tool discernment guide — which tool for which job
→ A follow-up techniques reference
→ A personal output verification checklist
→ A "first five tasks" list — what to automate this week
→ Work product you're ready to share before the session ends
The best part was being hands on, walking through the examples individually through our own computer.
Level 2
Applied Mastery
You walk out with mastery. You're not just using AI — you're getting exactly what you need from it.

You can use AI. You get decent output. But you've hit a ceiling — you can't make it sound like you, you can't configure it for your specific recurring work, and you don't have a system for keeping what works. You're competent, but you're not precise.

The gap isn't whether you use AI.
It's whether you've mastered it.

This level builds precision, sustainability, and judgment — so your AI output sounds like you, your tools are configured for your specific work, and you have a system for keeping and sharing what works.

Who This Is For

Staff and individual contributors who are already using AI and want to go from competent to precise — producing higher-quality output, faster, with systems that sustain results over time. Level 1 or equivalent experience required.

Everything from Level 1, reinforced and expanded.

What You'll Learn
Advanced prompting techniques — step-by-step reasoning, chaining, reverse-engineering
Voice management — human vs. AI — making output sound like you wrote it
Advanced context management — why AI degrades and what to do about it
Advanced tool configuration — Custom GPTs, Gems, Projects, NotebookLM
Workflow optimization — sequencing, bottlenecks, integrating AI into how you work
Output quality — humanizing and building for accessibility
Prompt libraries — building, organizing, and sharing reusable prompts
Cognitive enhancement and bias awareness — using AI to think deeper, not think less
Navigating AI skepticism — handling reactions in your workplace culture
What You Leave With
→ A Custom GPT / Gem / Project configured for your recurring work
→ A personal prompt library organized by task type
→ A workflow map showing where AI integrates into your process
→ A voice style guide for your AI output
→ An accessible output checklist
→ A cognitive enhancement framework — how to use AI to learn, not bypass
→ Refined prompts that go deeper than Level 1
I expected to think about AI in terms of my team. I didn't expect it to be this useful in my own workflow.
Level 3
AI Builder
You walk out building. You've created something real — an app, an agent, a tool your team can use.

You know how to use AI. Now the question is: what can you build with it? Most people don't realize they can create working applications, automate multi-step workflows, and build tools for their entire team — without writing code, without waiting for IT.

The gap isn't your AI skills.
It's knowing what you can build.

This level turns AI users into AI builders — people who create tools, automate workflows, build team knowledge bases, and become the person who brings AI to their organization.

Who This Is For

Power users, IT staff, and individual contributors who want to build with AI — creating tools, automating processes, and developing resources their teams can use. Level 2 or equivalent experience required.

Everything from Levels 1 and 2, reinforced and expanded.

What You'll Learn
Vibe coding — building working tools by describing what you want in natural language
Agentic workflows — moving from prompting to assigning tasks
Building tools — forms, calculators, dashboards, lookup tools
Training others on AI — becoming the person who brings AI to your team
Building team knowledge bases — shared, searchable resources for your department
Advanced data visualization — interactive dashboards from raw data
Organizational AI governance — disclosure, ownership, and failure reporting
What You Leave With
→ A functional app or agent you built during the session
→ An automation workflow connected to your real work
→ A data visualization built from your own data
→ Training materials you can use to teach others
→ A team knowledge base structure
→ A build-vs-prompt decision framework
→ A governance framework for AI in your team
→ Confidence to prototype without waiting for IT
→ A plan for what to build next
I didn't expect much from a one-day workshop but I left with the beginnings of the case I'm taking to the board next month.

Every level is hands-on — participants work on their own real tasks throughout the session. No hypotheticals. No toy demos.

Format adapts to your needs — half day, full day, or a series of shorter sessions. Levels can be combined or spread across months.

At a Glance
Three Levels of Learning
Level 1

Core Competency

You walk out using it.
  • Structured prompt scaffolding
  • Everyday work tasks
  • Tool discernment
  • Output verification
  • Data safety and privacy
  • Follow-up techniques
  • Understanding context
  • Workflow design
  • AI for learning
  • AI workspace setup
  • How AI actually works
Level 2

Applied Mastery

You walk out with mastery.

Level 1 reinforced, plus:

  • Advanced prompting techniques
  • Voice management — human vs. AI
  • Advanced context management
  • Advanced tool configuration
  • Workflow optimization
  • Output quality — humanizing and accessibility
  • Prompt libraries
  • Cognitive enhancement and bias awareness
  • Navigating AI skepticism
Level 3

AI Builder

You walk out building.

Levels 1 & 2 reinforced, plus:

  • Vibe coding
  • Agentic workflows
  • Building tools
  • Training others on AI
  • Building team knowledge bases
  • Advanced data visualization
  • Organizational AI governance
A Companion Track for Leaders
Same foundation. Additional focus on leading AI adoption.

Leaders get everything from the staff curriculum — plus the skills to lead AI adoption across their teams and organizations. This track can layer onto any level.

Advocating for adoption
Addressing resistance patterns
Navigating risk scenarios
Recognizing cognitive erosion
Managing team prompt libraries
Reporting AI failures
Results
What Participants Say
74
Net Promoter
Score
9.2
Average Rating
out of 10
45%
Confidence Increase
Across 6 Dimensions
88%
Applied It Same Day
or That Week
One of the best trainings I have ever attended. I learned so much that I feel great about trying out and teaching others.
I created three processes that I've already shared with my program managers.
I'll actually use AI lol. I wasn't before and wouldn't have prior to this.
Comparing different AI models side by side — seeing how they each interpret prompts differently — helped us decide which tools are better for which tasks.
The Facilitator
AT
Anthony Trunzo
Learning & Performance Strategist

Generative AI practitioner and instructor who has built AI-powered applications for HHS professionals, directed AI-native product development for Sacramento nonprofits, and designed and delivered applied AI programs for two California university CPE programs. Anthony brings 20+ years of professional facilitation, curriculum design, and change leadership across public, private, and nonprofit sectors. His work focuses on what happens after the training: whether people and organizations actually change how they work. He is a UC Davis CPE instructor and holds an Executive Coaching Certification from UC Berkeley Haas.

Bring This to Your Organization
Ready to Equip Your Team?

This program is available as a custom contract offering — designed for your team, delivered on your timeline. Contact us to discuss format, scheduling, and fit for your organization.

anthony@IQmeetEQ.com