Beginner to intermediate · multi-session
Progressive AI Learning Path
A connected course series that grows with the learner: begin with AI fundamentals, build dependable everyday skills, then apply them in a practical project. Each stage includes guided practice and a learning check before moving on.
Who it is for
Libraries, colleges, workforce programs, school staff and business teams
Starting point
Begin at foundations with no AI experience, or use a short placement exercise to choose an appropriate entry stage. Familiarity with a browser is helpful; additional digital-skills practice can be planned.
Format
A multi-session course with practice between classes, feedback and progression checkpoints. Available as a short series or a longer instructional engagement; semester delivery depends on institutional requirements and scheduling.
What you will practice
- Stage 1 — Foundations: understand AI, try clear prompts and learn privacy and fact-checking basics.
- Stage 2 — Guided practice: refine requests, work with approved source material and compare results across realistic tasks.
- Stage 3 — Intermediate workflows: build reusable instructions, break tasks into steps and add quality checks.
- Stage 4 — Applied project: complete an audience-relevant workflow, explain its limits and demonstrate it with a reusable guide.
Examples, pacing and learning checks are tailored to the audience. Tools, accounts and any paid feature requirements are agreed before booking. Instruction is provided independently by Wire Hold.
01 / Syllabus
Inside the course
A proposed outline for planning your class. Examples and depth are tailored to the audience; the final syllabus is agreed with the host.
Module 01
Stage 1 · Foundations
Build a shared vocabulary, try clear prompts and understand privacy, uncertainty and fact checking. Establish when AI is useful and when another method is more appropriate.
In practice
Improve a simple request and explain how to check a claim. Checkpoint: demonstrate a basic task and name its information boundary.
Module 02
Stage 2 · Guided practice
Work with approved source material, refine drafts and compare results. Practice outlining, summarization and audience-specific communication.
In practice
Create two versions of a source-based draft. Checkpoint: trace the important statements and justify revisions.
Module 03
Stage 3 · Intermediate workflows
Break a task into steps, create reusable instructions and introduce evaluation criteria. Test incomplete inputs and record when a person must intervene.
In practice
Run a workflow on more than one sample. Checkpoint: use a rubric and explain a failure case.
Module 04
Stage 4 · Applied project
Complete a project relevant to the audience, such as an approved-source briefing or a learning-material workflow. Document the method, permissions, review and limits.
In practice
Present a working learning project and reusable guide. Checkpoint: demonstrate a new input, review the result and respond to feedback.
02 / Format & pacing
Make room for practice
Suggested plan: eight 90-minute sessions, with two sessions per stage and practice between meetings. This is a planning example, not a fixed timetable. A longer institutional engagement can allow more feedback and project development.
Timings are suggested lesson plans, not confirmed availability or fixed delivery commitments. Group size, access needs, breaks and prior experience shape the final schedule.
03 / Takeaways
Keep learning after class
- A growing portfolio of practice tasks and revised work.
- Reusable instructions, an evaluation rubric and a record of learning checkpoints.
- An applied project with a short operating guide and a plan for further learning.
Practice work uses fictional, public or approved material. Sample records and projects illustrate the method; they are not client results.
04 / Learning check
Show what you can do
Each stage includes a demonstration and feedback before moving forward. The final project is assessed for a clear purpose, suitable inputs, repeatable steps, evidence of review and an honest explanation of limitations. A learner can repeat a stage when more practice would help.
Learning checks guide feedback and next steps. Completion does not imply vendor certification, accreditation or academic credit.
05 / Preparation
Plan a class that works for everyone
- Agree on learner placement, group size, accessibility and the host’s attendance or assessment expectations.
- Confirm tool access across the full series; examples can use ChatGPT, Claude or Grok according to approved access and learning goals.
- Reserve practice time between meetings and choose a non-sensitive project brief with an appropriate scope.
Before booking, we confirm the audience, learning goals, format, materials, instructor requirements and fee. Tool subscriptions or other third-party costs are identified separately when relevant.
06 / Questions
Before you book
Must learners attend every stage?
Not necessarily. A placement exercise can establish an appropriate starting point. The host and instructor agree on the learning goals and any prerequisites before enrolment.
Can this be a semester course?
A longer teaching engagement can be discussed. Institutional qualifications, procurement, schedule, assessment and any academic-credit requirements must be confirmed before a commitment.
Does completing the project make it ready for production?
The project demonstrates learning. Live deployment requires separate authorization, access review, testing and an agreed implementation scope.
Bring this class to your audience.
Tell us who the work is for, what you want to improve and your preferred timing. We will confirm fit and provide a scope-based quote, with deliverables, schedule and fees agreed before work begins.