We rebuilt how our team learns AI. Here’s the playbook.
Random tutorials weren’t cutting it. Smart, capable people were spending months dabbling with AI tools and getting nowhere because the structure, guardrails, and measurement weren’t there. So we redesigned the whole approach: a 12-week, evidence-based program aligned with the U.S. Department of Labor framework. Two phases. Real outcomes. Measurable ROI.
Here’s what we know.
The federal standard is already here
The Department of Labor published an AI Literacy Framework with five competencies for responsible AI use. That’s the workforce development standard now. We align to all of them.
The gap is already costly
Organizations investing in structured AI capability retain talent, move faster, and reduce decision bottlenecks. The data on this is consistent across sectors.
Structured beats random
Cohort-based. Live. Peer-supported. Personalized to your actual work. Includes a performance measurement framework you take with you to measure, stress-test, demonstrate, and continuously improve AI capability.
What’s the one pain point you would try to fix with AI?
Two phases.
Learn to speak AI
- •You’re new to AI concepts
- •You want foundational confidence before exploring tools
- •You need a safe space for questions
- •Your manager wants you to start with the basics
- •You want to increase your wage premium opportunities
6 modules covering foundational AI concepts, responsible use, prompting frameworks, how to run a pilot project, basics to building an AI assistant, and the durable soft skills needed to talk with others about AI. See the full syllabus on Maven.
Solve a real problem
- •You’ve completed Phase 1
- •You’re ready to build something and measure its impact
- •You have a use case or project to optimize with AI
- •You want to be a leader of AI initiatives in your organization
6 modules covering personal use case development, tool vetting, pilot project architecture, organizing data, AI governance, and measuring ROI. See the full curriculum on Maven.
Miyagi Practice Lab
Both have a Miyagi Practice Lab where you get to “wax on, wax off” your new-found skills in a safe environment that builds skills and confidence.
Five competencies. Covered.
Every module aligns with the U.S. Department of Labor’s Federal AI Literacy Framework.
Mental models, limitations, foundational vocabulary
Practical AI application in real workplace settings
Spot errors, maintain control, iterate strategically
Human judgment, verification, ethical use
Data protection, accountability, legal compliance
THE WORLD ECONOMIC FORUM STATED IN ITS 2025 FUTURE OF JOBS REPORT THAT WORKERS WITH VERIFIED AI COMPETENCIES WILL COMMAND A 56% WAGE PREMIUM OVER NON-SKILLED PEERS.
Where are the gaps for you or your team right now?
Credentials come through building the skills.
There’s no governing body yet to verify what makes someone AI-literate. We credential you through evidence-based learning and our proprietary Integrated Performance Measurement Framework. IPMF is our evidence-based method for turning training into a measurable business solution. It can be applied for professional development or across organizational learning.
You’ll leave with defensible, demonstrable skills. At minimum, you’ll have one completed use case and business brief to present to leadership for running an AI pilot project.
- •Professionally designed (LinkedIn, resume, portfolio-ready)
- •Verified (unique ID, completion date)
- •Meaningful (employers recognize DOL-aligned training)
- •Shareable (download, frame, or email)
What it costs. What you get back.
Investment starts at under $1000 for a single phase. And we always offer discount codes. See current pricing and cohort dates on Maven. View on Maven
Tax credits & funding offsets: You or your company may offset a majority of the cost entirely. We’ve done the research.
ROI from Recent Cohort Participants
Metrics captured before-and-after by tracking time against manual tasks.
~98% time reduction, <2 hrs to build, 45-55 sec live resolution, $0 new tools
3 tools tested head-to-head, <7 min best output, 10-80 hrs research eliminated per project, $0 new tools
64% less time, 80% less labor, 75% fewer revisions (4 rounds to 1), 9.2/10 readiness score, $0 new tools
Your mileage will vary based on role and workflow, but the pattern holds: structured learning done in community pays for itself fast.
Need your manager’s sign-off?
We wrote the letter. Download, forward, or copy-paste. It covers business case, ROI, and what we need from them.
“Start Building Something That Works Today”
- •Regulatory alignment: DOL framework is the federal standard
- •Competitive risk: Teams without AI fluency fall behind on productivity and retention
- •Affordable structured learning with immediate implementation
- •Competencies: Understand · Use · Direct · Evaluate · Use Responsibly
- •Opportunity for a 56% wage premium with these skills in hand
- •Documented time savings and confidence gains across every cohort participant to date
- •Their role: Approve enrollment, allocate 2 sessions/week (~2 hrs + homework)
- •Our role: Deliver cohort-based learning with measurable outcomes
Let’s get you into a cohort.
Tell us about your situation and we’ll connect you with the right community. Cohorts launch every 6-8 weeks. We keep them small on purpose.