Free AI Literacy Learning Path
Learn to work with AI—not just use AI tools
AI-Native Work Foundations
Knowing what AI can do is no longer enough. This path helps you distinguish adoption from real transformation, design human–AI decision rights, position agents within clear boundaries, and manage quality, trust, and outcomes alongside speed.
Free · 10 lessons · ~97 minutes · 15-question final assessment · verifiable achievement credential
Who this is for
For people who want to understand how to work with AI and redesign work:
- • Managers and team leads
- • Product, technology, and operations professionals
- • Transformation and change leaders
- • Professionals responsible for decisions in AI initiatives
What you'll be able to do
- • Distinguish AI tool use from real AI transformation
- • Think in end-to-end workflows instead of isolated tasks
- • Set decision and authority boundaries across humans and AI
- • Design AI agents with roles, permissions, handoffs, and accountability
- • Separate human-in, on, and above-the-loop oversight models
- • Embed trust, governance, and recovery into the work system
- • Evaluate AI pilots through quality, outcomes, and risk alongside speed
AI LITERACY → WORK DESIGN
The real question is not “What can AI do?” but “Who should do what?”
Understanding AI capability is the starting point. Value appears when that capability is placed inside the right workflow, decision boundary, control model, and explicit human ownership.
- Workflow
- See the whole system from demand to outcome, not only the automated task.
- Decision
- Define what AI recommends, does, stops, and escalates—and to whom.
- Control
- Design oversight around risk, volume, reversibility, and observability.
- Learning
- Measure quality, user outcomes, failure, and human capability alongside speed.
How it works
Build the mental model, apply it to workplace decisions, and verify what you learned.
01
Build the mental model
Use 10 short lessons to build a foundation spanning AI-assisted, AI-native, and agentic work, workflows, decision rights, human oversight, and governance.
02
Apply it to real work decisions
Choose the strongest approach in each module's workplace case, understand why, and carry the concept into your own work context.
03
Verify your knowledge
Score at least 80% on a 15-question final assessment drawn from a 30-question bank to earn a verifiable AgileKoc achievement credential.
AgileKoc achievement credential
Make what you learned verifiable
Complete all 10 lessons and score at least 80% on the final assessment to earn a shareable, publicly verifiable AgileKoc achievement credential. It verifies a knowledge-based learning achievement; it is not applied professional competence or an accredited certification.
Path curriculum10 steps · ~97 minView all +Hide −
- AI Tool Adoption Is Not AI TransformationSeparate tool use from workflow, decision, and operating-model transformation.8 min
- What Is an AI-Native Organization?Distinguish AI-assisted, AI-enabled, AI-first, AI-native, and agentic work.12 min
- From Tasks to WorkflowsSeparate local task speed from end-to-end flow, waiting, and outcome improvement.9 min
- Human Versus AI Decision RightsAllocate recommendation, action, approval, override, and escalation rights according to risk.10 min
- AI Agents as TeammatesDefine an agent's goal, tools, authority, handoffs, and failure behaviour.8 min
- Human In, On, and Above the LoopPlace in-the-loop approval, on-the-loop supervision, and system ownership in the right context.9 min
- Trust, Governance, and Accountability in AI WorkSeparate trust from accuracy and build it through boundaries, traceability, ownership, and recovery.10 min
- AI Experiments, Evaluations, and Feedback LoopsRun an AI pilot with a hypothesis, baseline, quality, outcome, and balancing measures.9 min
- The AI-Native Team Operating ModelTurn individual AI speed into shared standards, team learning, and reliable outcomes.10 min
- Design Your First AI-Native WorkflowCreate a testable hypothesis sketch connecting outcome, flow boundary, human-AI contribution, risk, and first evidence.12 min
Final assessment
Complete all required steps (0/10) to unlock the assessment.
Before you start
Short answers about access, time, assessment, and the AgileKoc credential.
- Who is this path for?
- Managers, team leads, product, technology, operations, and change professionals who need a vendor-neutral foundation for redesigning work with AI.
- Do I need technical or coding experience?
- No. The path focuses on workflows, decisions, accountability, governance, and team design rather than implementation frameworks or prompt syntax.
- Does the path include PracticeLabs?
- No. This foundations path is lesson-based and ends with a knowledge assessment. Applied PracticeLab paths will be separate.
- How long does it take?
- The 10 lessons take approximately 97 minutes. Your account saves progress so you can continue later.
- How do I earn the credential?
- Complete all 10 lessons and score at least 80% on the final assessment. The credential is then issued automatically.