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Phase Two · Capability & Application

Turn understanding into something useful.

Phase Two helps learners move from an idea to a small, useful AI-supported project they can explain, test, improve, and take responsibility for. The aim is practical capability: knowing where AI can help, what needs checking, and when a person needs to make the decision.

  • Six weeks
  • Six guided journeys
  • 36 lessons
AI Confidence Academy seal: Human, AI, Confidence

The value of Phase Two

Useful work. Sound judgment. Human responsibility.

A good AI idea begins with a real need. Learners practice identifying a worthwhile problem, choosing an appropriate use for AI, and developing a manageable solution. Teaching, guided practice, reflection, and project work connect that understanding to everyday situations.

Privacy, accuracy, and responsibility are part of the work from the beginning. Learners practice protecting information, checking important claims, recognizing unreliable output, and setting clear limits on what AI may do.

The intended takeaway is a useful piece of work, supported by evidence of testing and clear instructions for its use. Confidence grows through the ability to explain decisions and make improvements.

What learners can create and apply

Practical possibilities for real life.

Projects can serve work, a small business, a creative practice, a service organization, or a community. These examples show the kind of manageable application learners can work toward.

A customer-response process

Use approved business information to prepare reply drafts, check their accuracy, and obtain human approval before sending. Define what happens when a question needs a person’s attention.

Practical value: More consistent communication, with a clear route for exceptions.

A useful digital resource

Create a guide, checklist, onboarding resource, or short learning material within an area of knowledge or experience. Test whether another person can understand and use it.

Practical value: A resource that helps someone complete a task or understand a subject.

A small working prototype

Develop a simple reporting, intake, or document-preparation process using information that is permitted for the task. Try it on sample cases and revise what does not work.

Practical value: A way to test an idea before committing to a larger investment.

A staff or volunteer practice resource

Prepare an explanation, demonstration, practice activity, and a way to ask questions or correct mistakes. Help others understand how to use a process responsibly.

Practical value: Clear guidance that supports people as they adopt a new way of working.

Operating instructions others can follow

Document permitted information, verification steps, approval responsibilities, exceptions, and a manual fallback. Make clear who is accountable for the result.

Practical value: A repeatable process that another person can understand, use, and maintain.

A real-life example

Helping a small service business answer customer questions.

Imagine a business that receives the same questions about its services, hours, and next steps. A learner could develop a process that helps prepare accurate replies while keeping a person responsible for the final response.

The finished project could include a set of approved facts, a reusable drafting process, a checking checklist, sample replies, and clear instructions for an employee.

  1. Start with approved information.Collect current service details and decide what may be shared. Keep private customer information out of practice examples.
  2. Prepare a reusable drafting process.Give AI a clear task and approved facts so an employee can request a first draft.
  3. Check the reply before use.Verify details, tone, and unsupported claims. Name the person who must approve the response before it is sent.
  4. Test difficult cases.Try missing information, conflicting details, and requests outside the business’s scope. Require a human decision when a reliable answer is unavailable.
  5. Revise and record the evidence.Keep sample results and explain what changed after testing. Check whether the revised process is useful to another person.
  6. Make the handoff clear.Document how to use the process, who handles exceptions, and how to respond manually if AI is unavailable.

The result: A usable, tested process with human oversight. Any claim that it saves time or improves service should be checked through actual use and measurement.

Six connected journeys

From opportunity to a demonstrated project.

Each journey contains six lessons. The learning builds toward a project that can be tested, explained, and carried into everyday use.

  1. AI Strategy and Business Opportunity

    Identify a worthwhile need and consider where AI can offer useful support.

  2. Build AI into Business Workflows

    Develop a manageable process with clear inputs, checks, and human decisions.

  3. Lead People Through AI Adoption

    Support the people who will use the process through explanation, practice, and feedback.

  4. Create and Deliver Business Value

    Shape a useful result around the needs of the people it is meant to serve.

  5. Operate, Measure and Improve

    Check performance, handle exceptions, and use evidence to guide improvements.

  6. Demonstrate and Execute

    Present the project, explain its limits, and prepare a practical plan for using it.

What learners work toward

Something useful to carry forward.

Successful completion includes doing the practice and project work. The intended result is a small portfolio that can support a conversation with colleagues, an employer, prospective customers, or collaborators.

  • A clearly defined projectThe need, intended user, purpose, and boundaries.
  • A working artifactA process, resource, or prototype that addresses that need.
  • Evidence of testing and revisionSample cases, findings, and improvements that can be explained.
  • Responsible-use instructionsPrivacy limits, checking steps, approvals, exceptions, and a manual fallback.
  • A project demonstrationA clear explanation of how the work functions, what it can do, and where it needs human support.
  • A 30-, 60-, and 90-day planPractical next steps for trying, measuring, and improving the project.

Is Phase Two a good fit?

A next step for learners ready to apply what they know.

Phase Two builds on basic AI understanding and guided practice. It suits learners who are ready to develop a focused project for work, business, service, creativity, or community, and who are willing to test and improve their work.

Creating and building can mean a functioning process or a useful digital product. More complex software, connected automation, or an autonomous service may require additional technical learning or collaboration.

The program is designed to strengthen practical capability and responsible judgment. Results depend on participation, the project selected, and how the learning is applied.

Pay-in-full price: $179 — save $20. Every new enrollee qualifies; no special eligibility or discount code is required. Prefer installments? Initial payment: $67. Day 7 payment: $66. Day 14 payment: $66. The three payments total $199.