Week 24: Capstone and Final Assessment

Learning objectives

By the end of this week, you will be able to:

Explain why combining several skills in one real project is different from, and more demanding than, practicing one skill at a time.
Plan a multi-part project by breaking a big goal into concrete deliverables, sequencing the work, and choosing an AI tool and prompting technique for each deliverable.
Combine at least two different AI tools you have used in this course and at least two specific prompting techniques you have learned in this course in one project.
Verify every factual claim in your capstone deliverables against a real source, applying the verification habit you built earlier in this course to a finished project.
Critically edit every AI-drafted piece of your capstone for generic "AI voice," applying the editing technique you learned earlier in this course.
Self-assess your own finished work against this course's accessibility standard: semantic landmarks, one heading level one, scoped table headers, keyboard operability, and plain language.
Summarize, in your own words, the major skill areas this course covered and how they build on one another.
Describe at least two concrete habits for keeping your AI skills current after this course ends.

Lesson

This final lesson does not teach a new tool or a new skill area. Every tool and every skill you need for this week, you already have. Instead, this lesson teaches you how to plan, execute, and self-assess a capstone project that combines everything from this course, and how to think about finishing a training program well.

Why a Capstone Matters

Earlier weeks of this course each taught one skill set at a time, on purpose. One week taught a single AI tool by itself. Another week taught prompting fundamentals by itself. A later week taught the AI-powered job search by itself. Teaching one skill at a time made each week manageable, and it let you build real confidence in each piece before moving on to the next. But a real job, a real project, or a real personal goal almost never arrives in one neat piece. It arrives as a tangle of smaller tasks that all need to happen together, often under a deadline, often with more than one kind of deliverable due at once. A capstone project is a single, larger project that asks you to combine skills you have already practiced separately into one connected piece of work, the way those skills actually get used outside a training course.

A capstone is different from practicing one skill at a time in a way that matters. When you practiced writing a press release earlier in this course, you already knew you were writing a press release, and the lesson had just finished explaining exactly how to do it. In a capstone, nobody hands you that kind of narrow focus. You have to decide, on your own, which tool fits which task, which prompting technique will get you a usable first draft fastest, and which of your earlier skills apply to the piece of work sitting in front of you right now. That decision-making is itself a skill, and it is arguably the most valuable one this course can leave you with, because it is the skill that lets you handle a new, unfamiliar task five years from now using tools that have not even been built yet.

A capstone is also the closest thing this course can offer to real proof of transferable skill. A single week's test proves you understood that week's lesson. A capstone proves something larger: that you can take a real goal, break it into real deliverables, and produce finished, accurate, accessible work using AI as a genuine working partner rather than a novelty. That is exactly the kind of proof an employer, a client, or your own future self will actually care about. It is also proof you can keep. Every portfolio project you built earlier in this course was designed to be kept, and your capstone is the piece that ties your whole portfolio together into one demonstration of everything you have learned.

A Practical Framework for Planning a Multi-Part Project

Before you open any AI tool for your capstone, it helps to plan the whole project on paper, or in a plain text file, the same way this course taught you to plan an agent before building one, earlier on. A dependable planning framework has three steps, and they work for almost any multi-part project, not just this one.

The first step is breaking a big goal into concrete deliverables. A deliverable is one finished, specific piece of work you can point to and say "this part is done." "Get a job" is a goal, not a deliverable, because it is too big and too vague to start on directly. "A one-page tailored resume for this specific job posting" is a deliverable, because it is one finished document with a clear shape and a clear stopping point. The first thing to do with any big goal is write down every deliverable it actually requires, as a plain list, before you touch an AI tool at all. This list becomes your map for the rest of the project.

The second step is sequencing the work, meaning deciding what order to do things in. Some deliverables depend on others. You cannot write a tailored cover letter until you know which job posting you are tailoring it to, and you often cannot write strong social media content for an organization until you have already thought through that organization's core message, the way this course's marketing lessons taught. A short, honest sequencing pass, just asking yourself "what has to happen before this piece can happen," saves real time later and prevents the frustrating experience of drafting something twice because you started in the wrong order.

The third step is deciding which AI tool and which prompting techniques fit each deliverable. Not every AI tool is the right fit for every task, and earlier weeks gave you real, hands-on experience with several, including Claude, ChatGPT, Gemini, and Microsoft Office Copilot and VS Code with AI features. This course's prompting lessons gave you a set of techniques: clear instructions, context, examples, role assignment, output format requests, iteration, system prompts, chain-of-thought requests, few-shot examples, and breaking a big task into smaller steps. For each deliverable on your list, ask two short questions: which tool's strengths, as you have already tested them yourself, best fit this particular kind of writing, and which specific prompting technique will get a usable first draft fastest. Writing your answers down, even briefly, turns a vague intention to "use AI for this" into an actual working plan.

A Worked Example: Planning One Deliverable Start to Finish

Here is a small, realistic example showing all three planning steps applied to one single deliverable, the social media post required in the marketing package, so you can see the framework working on real, concrete decisions rather than staying abstract.

Deliverable: One social media post announcing a fictional literacy nonprofit's new free evening tutoring hours, with real alt text for a photo of the tutoring room.

Sequencing: This post depends on the marketing plan's core message already being settled, so it is drafted after the marketing plan, not before it, and it also needs the organization's boilerplate facts already gathered, the same facts used in the press release.

Tool choice: Claude, since earlier in this course you already tested its Projects feature for keeping this organization's background facts and tone in one place across several related drafts.

Prompting technique: A role-assignment prompt, asking the AI tool to write as the nonprofit's own social media voice, plus a system-prompt-style standing instruction stating the organization's tone once, so it does not need to be repeated for every new post.

Accessibility step: The AI-draft-then-edit alt text technique you learned earlier in this course: ask the AI tool for a first draft description of the tutoring room photo, then edit it by hand until it actually and specifically describes what is in the image.

Voice edit: A full Say All read-through afterward, checking the caption for generic AI voice and rewriting any sentence that sounds like it could describe any nonprofit rather than this one.

Notice that every decision in this small example traces back to a specific skill you already practiced earlier in this course, rather than a vague sense of "using AI well." That is the level of specificity your own planning, and later your own reflection, should aim for across every deliverable in your capstone.

A Guided Walkthrough of This Course's Capstone Project

This course's capstone project, called My AI Skills Capstone Project, asks you to produce two combined deliverables for a real or fictional organization, or for your own real job search: a complete job application package, and a small marketing and communication package. Together, these two deliverables pull directly from nearly everything this course has taught. Here is a detailed walkthrough of what each part requires and which earlier skills apply to it.

The first deliverable is the job application package. It has two required documents: a tailored resume and a tailored cover letter, both aimed at one specific, real job posting, exactly the tailoring skill you built earlier in this course, during the job-search portion. Tailoring means the resume and cover letter speak directly to that one posting's actual requirements, not a generic, one-size-fits-all version sent everywhere unchanged. As you draft both documents with AI, keep this course's honesty standard close at hand: never let an AI tool invent experience, a job title, or a credential you do not actually have, even if it would make the application stronger on paper. Once a draft comes back, verify every specific claim in it, every date, every job title, every credential, against your own real history, the same fact-checking discipline this course taught and later applied to other writing, such as a press release. When both documents are accurate and tailored, export them as accessible documents, using the document-publishing skills you built earlier in this course: proper heading structure, a tagged format rather than a purely visual one, and a final check that nothing important got silently stripped out during export.

The second deliverable is a small marketing and communication package for the same organization, or a closely related one. At minimum, it needs three pieces. First, a short marketing plan, using the four-part campaign shape you learned earlier in this course: a goal, a timeline, the channels you will use, and a way to measure success. This plan does not need to be long, but it does need all four parts, and it needs a real, specific target audience rather than a vague "everyone." Second, one piece of social media content complete with real alt text for any image it includes, applying the platform-accessibility habits and the AI-draft-then-edit alt text technique you learned earlier in this course. The alt text needs to actually describe the image; a placeholder like "image" or the file name is not real alt text, and this course has spent too many weeks building genuine accessibility habits to let that slip in the final project. Third, choose either a press release, using the full structure you learned earlier in this course: headline, dateline, lead paragraph, quotes, boilerplate, and contact information, or a piece of copywriting such as landing page copy, using the hook-benefit-evidence-call-to-action structure you learned earlier in this course. Either choice works equally well; pick whichever fits your organization's actual news better.

Across both deliverables together, three requirements apply to the capstone as a whole, and they are worth tracking deliberately rather than trusting yourself to remember informally. You must use at least two different AI tools somewhere across the two deliverables, drawn from earlier in this course, since testing more than one tool on real work is itself part of the skill this course built. You must apply at least two specific prompting techniques by name, drawn from earlier in this course, meaning you can say out loud which technique you used and why, not just that you "asked AI for help." And you must critically edit every single AI-drafted piece for generic "AI voice," using the editing technique you learned earlier in this course, reading each piece in full with Say All and rewriting any section that sounds like it could have been written by anyone about anything. Finally, the project closes with a short written reflection connecting specific skills you learned earlier in this course to specific choices you made in the capstone: not a vague "I learned a lot," but concrete sentences such as "I used the few-shot prompting technique to get the tone right on the second draft of my cover letter" or "I checked my social post's alt text against this course's alt-text guidance before finishing it."

Self-Assessing Your Own Finished Work

This entire course has been built to one accessibility standard, described in this course's own build notes: semantic landmarks, exactly one heading level one per page, headings that never skip a level, properly scoped table headers, full keyboard operability, and plain language throughout. Every weekly file you have worked through in this course was checked against that same standard before it was considered finished. Your capstone deserves the same treatment, and checking it yourself is good practice for reviewing any document you produce professionally from here on.

Start with structure. If any part of your capstone lives in an HTML file or a web page, use your screen reader's list of links or interactive elements, sometimes called an elements list, or its dedicated heading-navigation command, and switch to a headings-only view if your screen reader offers one. Check your own screen reader's documentation for the exact keystroke, since it differs from product to product. Confirm there is exactly one heading level one, and that no heading level is skipped, meaning you never jump straight from a level-two heading to a level-four heading with nothing in between. If your capstone includes a table, such as a simple content calendar or a comparison of options, switch that same list to a tables view, if your screen reader offers one, and confirm every column has a properly scoped header, the same scoped-header habit this course applied to accessible tables throughout. Then tab through every interactive element, every link, every button, every form field, confirming each one is reachable by keyboard alone and that its purpose is clear once you land on it, without needing to see it.

Next comes a fact-verification pass, applying this course's core verification habit one more time, deliberately and completely, to the whole finished capstone rather than to one paragraph at a time. Read through every factual claim in both deliverables, every date, every number, every job title, every quote, every credential, and check it against a real, verified source: your own actual work history for the resume and cover letter, and your own actual facts about the organization for the marketing package. This is the same discipline this course taught for other writing, such as a press release, applied now to your own capstone as a whole, in one deliberate final pass rather than scattered checks along the way.

Finally comes an AI-voice edit pass, applying the editing technique you learned earlier in this course to every AI-drafted section across both deliverables. Read each piece in full using Say All, or your screen reader's continuous reading command, checking your own screen reader's documentation for the exact keystroke, and listen for the familiar markers of generic AI voice: vague, upbeat phrases that could describe almost any product or any candidate, sentences that sound impressive but say nothing specific, and a tone that does not actually sound like you or like your organization. Rewrite anything that fails this test in your own natural words. A capstone full of technically accurate but generic-sounding AI voice has not really demonstrated the skill this course set out to build; a capstone that sounds like a real, specific person or organization, verified for accuracy and checked for accessible structure, has.

Looking Back at This Course

It is worth pausing, before the final test, to see the whole shape of what this course has covered. Early on, this course built an honest, balanced understanding of what AI actually is, where it already shows up in daily life and work, what it can and cannot be trusted to do, and which specific skills employers currently value most. From there, it gave you real, hands-on, screen-reader-tested experience with the major AI tools available today, each one explored honestly rather than assumed to be perfectly accessible. It then taught you to communicate with AI tools precisely and efficiently, from a single clear prompt all the way up to a personal prompt library and a first simple automated agent. Next, it turned those tool and prompting skills toward the writing that professional life actually runs on: documents, accessible publishing, email, and a complete, tailored job search. After that, it applied the same disciplined, fact-checked, audience-aware writing habits to a whole family of communication careers: public relations, marketing, social media, advertising, copywriting, and content creation and curation. And this final week asks you to pull all of that together into one connected, accurate, accessible project, and to prove it with a comprehensive final test.

Seen this way, the course has one real throughline running underneath everything you have learned, not several separate stories: understand the tool honestly, communicate with it precisely, verify everything it gives you, and edit its output until it genuinely sounds like you. Every stage of this course applied that same throughline to a different setting. The capstone simply asks you to apply it all at once, in one piece of real work, which is exactly what makes it worth calling a capstone rather than just one more week.

Where to Go From Here

One honest fact about AI tools deserves saying plainly as this course closes: their interfaces will keep changing. A button that sits in one place today may move next year. A feature this course described in general terms may be renamed, redesigned, or replaced entirely. This is exactly why, starting early in this course, this course deliberately avoided memorizing a fixed list of menu labels and instead taught you a durable habit: explore any new or changed interface yourself, using your screen reader's list of interactive elements, heading navigation, and a bit of patient trial and error, rather than waiting for someone to hand you an exact, and possibly already outdated, set of instructions. Check your own screen reader's documentation for the exact commands it uses for these tasks. That exploration habit is the single most future-proof skill this whole course has taught, because it keeps working no matter how many times the tools underneath it change.

Keeping your skills current from here does not require another full course. It requires the same small habits practiced regularly: trying a new AI tool's interface with your screen reader's list of interactive elements or its heading navigation the first time you open it, reading a tool's own current help text or shortcuts screen instead of trusting an old memory of it, and staying willing to spend ten curious minutes exploring something new before assuming it is inaccessible. Your portfolio is also not finished the day this course ends; treat it as a living collection. Add a new tailored resume the next time you apply somewhere real. Add a new piece of content the next time you have something genuinely worth saying. Revisit the prompt library you built earlier in this course and add entries as you discover prompts that work well for you specifically. A portfolio that keeps growing after the course ends is worth more than one that was only ever built for a grade.

You have spent this course building a real, tested, honest relationship with AI as a working tool: understanding what it is and is not, learning several major tools by hand, learning to prompt them precisely, and applying all of that to real professional and personal writing, verified and edited until it genuinely sounds like you. That is a substantial body of skill, earned deliberately, one week at a time, and it belongs to you now, not to this course. Whatever you build with it next, whether that is a new job, a stronger personal project, or simply more independence in your daily life, you have already proven, across this whole course and its capstone, that you know how to use AI carefully, honestly, and well. That is genuinely worth being proud of.

Key terms from this week

Use this list to review the vocabulary introduced in this lesson before you start the exercises and the test.

Capstone project: A single, larger project that combines several skills already practiced separately into one connected piece of real, realistic work.
Deliverable: One finished, specific piece of work with a clear shape and a clear stopping point, such as one tailored resume or one press release, as opposed to a vague overall goal.
Sequencing: Deciding what order to complete a project's deliverables in, based on which pieces depend on facts or decisions from other pieces being finished first.
Fact-verification pass: A deliberate, complete final check of every factual claim in a finished piece of work against a real, verified source, applying this course's core verification habit to an entire project at once.
AI-voice edit pass: A deliberate final read-through of every AI-drafted section of a finished piece of work, listening for generic AI voice and rewriting it in your own natural words, applying this course's editing technique to an entire project at once.
Self-assessment: Checking your own finished work against a known standard, such as this course's accessibility standard, yourself, before considering it complete.

Keyboard-only exercises

These exercises use only your keyboard. Screen reader commands are described in general terms below; substitute your own screen reader's equivalent command where needed, and check your own screen reader's documentation for the exact keystroke.

Exercise 1: Plan your capstone with a written deliverable list

Open a plain text editor such as Notepad or VS Code, using the file skills you built earlier in this course, and create a new plain text file.
Type a heading titled "My Capstone Plan," then list every deliverable this week's project requires: tailored resume, tailored cover letter, marketing plan, one social media post with alt text, and either a press release or a piece of copywriting.
Under each deliverable, type one line naming which AI tool you plan to use for it, drawn from the AI tools you have used throughout this course, and one line naming which specific prompting technique you plan to use, drawn from the prompting techniques you have learned throughout this course.
Read the whole plan back using Say All, or your screen reader's continuous reading command.
Reorder any deliverable that depends on facts or decisions from another deliverable, so your plan lists them in a workable sequence, then save the file for use throughout this week's project.

Exercise 2: Review your own finished capstone document's heading structure

Open one finished piece of your capstone that is saved as an HTML file or opened as a webpage, such as your marketing plan or your accessible resume.
Open your screen reader's list of links or interactive elements, sometimes called an elements list, or use its dedicated heading-navigation command, and switch to a headings-only view if your screen reader offers one.
Arrow down through every heading listed and confirm there is exactly one heading level one, and that no heading level is skipped from one heading to the next, the same check this course's own files were built to pass.
If your document includes a table, switch that same list to a tables view, if your screen reader offers one, and confirm every column has a properly scoped header, the same way this course taught earlier for accessible documents and tables.
Write down, in your capstone plan file from Exercise 1, any heading or table problem you find, then fix it directly in the document and repeat this check until the structure passes cleanly.

Exercise 3: Run a fact-verification and AI-voice edit pass on one AI-drafted piece

Choose one AI-drafted piece from your capstone, such as your cover letter or your press release, and open it in Notepad, VS Code, or your document editor.
Read the entire piece using Say All, or your screen reader's continuous reading command, and list every factual claim it makes: dates, numbers, job titles, credentials, and quotes.
Check each factual claim against your own real source, exactly as this course taught for verifying facts in professional writing, and correct anything that does not match.
Read the piece again with Say All, and mark at least two sentences that sound like generic AI voice rather than your own natural words, using the AI-voice editing technique from earlier in this course.
Rewrite those marked sentences yourself, save the corrected piece, and keep both the fact list and your notes as part of your capstone portfolio.

Portfolio project: My AI Skills Capstone Project

This is the final and largest portfolio piece of the course. It asks you to produce two combined deliverables for a real or fictional organization, or for your own real job search, using AI throughout, and to close with a short written reflection connecting specific skills you learned to specific choices you made.

Choose one real or fictional organization, or your own real job search, as the subject for both deliverables. If you choose a real job search, pick one specific, real job posting to tailor your application to.
Build the job application package: a tailored resume and a tailored cover letter for that specific posting, applying the tailoring skills you built earlier in this course.
Verify every factual claim in both documents against your own real history, applying the verification habit you built earlier in this course.
Export both documents as accessible files, applying the document-publishing skills you built earlier in this course.
Build the marketing and communication package for the same or a related organization: a short marketing plan using the four-part campaign shape you learned earlier in this course (a goal, a timeline, the channels you will use, and a way to measure success), one piece of social media content with real, specific alt text using the technique you learned earlier in this course, and either a press release using the structure you learned earlier in this course or a piece of copywriting such as landing page copy using the persuasive structure you learned earlier in this course.
Across both packages, confirm you used at least two different AI tools from earlier in this course, and applied at least two specific prompting techniques by name from earlier in this course.
Critically edit every AI-drafted piece for generic AI voice using the editing technique from earlier in this course, reading each one in full with Say All.
Self-assess every piece against this course's accessibility standard: check heading structure and any table's scoped headers with your screen reader's list of interactive elements or heading navigation, and confirm every interactive element is reachable by keyboard alone.
Write a short final reflection, several sentences to a short paragraph, connecting specific skills you learned earlier in this course to specific choices you made while building this capstone.
Save every piece of this project together in your portfolio folder, named clearly, such as my-tailored-resume, my-cover-letter, my-marketing-plan, my-social-post, my-press-release-or-copy, and my-capstone-reflection.

Before you consider this project, and this course, finished, check it against this completion checklist:

I chose one real or fictional organization, or my own real job search with one specific job posting.
My job application package includes a tailored resume and a tailored cover letter for one specific posting.
I verified every factual claim in the job application package against my own real history.
Both job application documents are exported as accessible files, with a heading structure I checked myself.
My marketing and communication package includes a marketing plan with all four parts, one piece of social media content with real, specific alt text, and either a press release or a piece of copywriting.
I used at least two different AI tools across the two packages.
I applied at least two specific prompting techniques by name, and I can say which ones and why.
I critically edited every AI-drafted piece for generic AI voice.
I checked every piece against this course's accessibility standard using my screen reader's list of interactive elements or heading navigation.
I wrote a short final reflection connecting specific skills I learned earlier in this course to specific choices I made.
I saved every piece of this project together in my portfolio folder.

Weekly test

This is the comprehensive final test for the whole course. It has 50 questions: 30 multiple choice questions, 15 true or false questions, and 5 short answer questions. Every question can be answered using this week's lesson alone. A score of 38 correct answers out of 50 is a pass. For multiple choice and true or false questions, choose one answer per question. For short answer questions, type a brief answer in your own words.

Part A: Multiple choice (Questions 1 to 30)

Choose the one best answer for each question.

Question 1. According to the lesson, what is a capstone project?

A single, larger project that combines several skills already practiced separately into one connected piece of real, realistic work

A short weekly quiz with no real-world application

A single skill practiced in isolation, unconnected to any other skill

A project component that requires no AI tool at all

Question 2. According to the lesson, what is a deliverable?

A vague overall goal with no clear stopping point

One finished, specific piece of work with a clear shape and a clear stopping point, as opposed to a vague overall goal

Any document longer than five pages

A task that can never be finished

Question 3. According to the lesson, why is a capstone different from practicing one skill at a time?

A capstone requires no planning at all

A capstone is always shorter than a single week's lesson

In a capstone, you must decide for yourself which tool and technique fit which task, without being told which skill to apply

A capstone never involves any AI tool

Question 4. According to the lesson, what does a capstone prove that a single week's test cannot?

That you memorized every fact taught in the course

That you can type quickly

That you never make mistakes

That you can take a real goal, break it into real deliverables, and produce finished, accurate, accessible work using AI as a genuine working partner

Question 5. According to the lesson, what is the first step in the practical planning framework?

Breaking a big goal into concrete deliverables, written down as a plain list

Immediately opening an AI tool and typing a single vague prompt

Skipping straight to the final reflection

Choosing a font before writing anything

Question 6. According to the lesson, which of these is described as a goal rather than a deliverable?

A one-page tailored resume for a specific job posting

"Get a job"

A short marketing plan with all four required parts

A tailored cover letter for one specific posting

Question 7. According to the lesson, what is sequencing?

Assigning a random order with no reasoning behind it

Writing every deliverable at exactly the same time

Deciding what order to complete a project's deliverables in, based on which pieces depend on facts or decisions from other pieces

A feature found only in one specific AI tool

Question 8. According to the lesson, what two questions should you ask for each deliverable when choosing a tool and technique?

What color scheme to use and how long to make the file name

How much the tool costs and how fast it types

Whether the tool is popular and whether friends have used it

Which tool's strengths best fit this kind of writing, and which specific prompting technique will get a usable first draft fastest

Question 9. According to the lesson's worked example, why is the social media post drafted after the marketing plan rather than before it?

Because it depends on the marketing plan's core message already being settled

Because social media posts are always written last no matter what

Because AI tools cannot draft social media content

Because the marketing plan requires a finished social post first

Question 10. According to the lesson's worked example, which AI tool is chosen for the social media post, and why?

A tool chosen at random with no stated reason

Claude, because its Projects feature was already tested for keeping the organization's background facts and tone in one place

A tool that cannot be named because none was tested before

A print-only tool with no AI features

Question 11. According to the lesson's worked example, what accessibility step is applied to the tutoring room photo?

Leaving the alt text blank until later

Using the file name as the alt text

Asking the AI tool for a first-draft description, then editing it by hand until it specifically describes the image

Skipping alt text entirely since the post is short

Question 12. According to the lesson, what is the name of this course's capstone project?

My First AI Conversation

My Prompt Library

My Accessibility-First AI Instructions

My AI Skills Capstone Project

Question 13. According to the lesson, what are the two combined deliverables required by the capstone project?

A job application package and a marketing and communication package

A press release and a resume, with nothing else required

A single social media post, with no other deliverable

A spreadsheet and a slideshow

Question 14. According to the lesson, what two documents make up the job application package?

A resignation letter and a reference list

A tailored resume and a tailored cover letter, both aimed at one specific job posting

A generic resume sent to every employer unchanged

A performance review and a timesheet

Question 15. According to the lesson, what must never happen while drafting the resume and cover letter with AI?

Formatting the document with headings

Mentioning real job titles from your own history

Letting the AI tool invent experience, a job title, or a credential you do not actually have

Saving the finished draft to your portfolio

Question 16. According to the lesson, what should you check every specific claim in the resume and cover letter against?

A random online quiz

Another applicant's resume

A fictional example from the lesson

Your own real history

Question 17. According to the lesson, how should the finished resume and cover letter be exported?

As accessible files, with proper heading structure and a tagged format rather than a purely visual one

As a scanned image with no text layer

Printed on paper only, with no digital copy

As a locked file that cannot be opened again

Question 18. According to the lesson, how many pieces does the marketing and communication package need at minimum?

One

Three

Ten

Zero

Question 19. According to the lesson, what four parts make up the marketing plan's required shape?

Headline, dateline, lead paragraph, and boilerplate

Title, introduction, body, and conclusion

A goal, a timeline, the channels you will use, and a way to measure success

Audience, budget, bid, and report

Question 20. According to the lesson, what makes alt text for the social media image acceptable?

Using the word "image" as the description

Using the file name as the description

Leaving the field empty

A description that actually and specifically describes what is in the image

Question 21. According to the lesson, what are the two choices for the third piece of the marketing package?

A press release or a piece of copywriting, such as landing page copy

A spreadsheet or a slideshow

A phone call script or a voicemail greeting

A resume or a cover letter

Question 22. According to the lesson, what six elements make up a press release's structure?

Hook, benefit, evidence, call to action, headline, and boilerplate

Headline, dateline, lead paragraph, quotes, boilerplate, and contact information

Goal, timeline, channels, success measure, audience, and budget

Title, introduction, body, conclusion, summary, and appendix

Question 23. According to the lesson, what four-part structure applies to a piece of copywriting such as landing page copy?

Headline, dateline, lead paragraph, and boilerplate

Goal, timeline, channels, and success measure

Hook, benefit, evidence, and call to action

Audience, budget, bid, and report

Question 24. According to the lesson, how many different AI tools must you use across the two capstone deliverables, at minimum?

Zero

Exactly one

Five

At least two

Question 25. According to the lesson, what must you be able to say about the prompting techniques you use in your capstone?

Which specific technique you used and why, not just that you asked AI for help

Nothing; naming techniques is optional

That you used exactly one technique across the whole project

That you avoided all prompting techniques

Question 26. According to the lesson, what should you do with every AI-drafted piece of the capstone before finishing it?

Publish it exactly as the AI tool first produced it

Critically edit it for generic AI voice, reading it in full with Say All

Delete it and start over from a blank page every time

Translate it into a language you do not speak

Question 27. According to the lesson, what does a strong final reflection connect?

A list of every AI tool that exists, whether or not you used it

Nothing in particular; any reflection is acceptable

Specific skills you learned earlier in this course to specific choices you made while building the capstone

Only the price of each AI tool used

Question 28. According to the lesson, what should you confirm about every interactive element when self-assessing your capstone?

That it is described only in visual terms

That it only works with a mouse

That it changes color when focused, with no other requirement

That it is reachable by keyboard alone and its purpose is clear once you land on it

Question 29. According to the lesson, what does the fact-verification pass check?

Every factual claim in the finished capstone, such as dates, numbers, job titles, and credentials, against a real, verified source

Only the spelling of the organization's name

Only the file size of each document

Nothing; this pass is optional and rarely used

Question 30. According to the lesson, what does the AI-voice edit pass listen for?

Background music playing during a recording

Vague, upbeat phrases that could describe almost any product or candidate, and a tone that does not sound like you or your organization

Spelling errors only, with no attention to tone

Whether the document is formatted in a serif or sans-serif font

Part B: True or false (Questions 31 to 45)

Choose True or False for each statement.

Question 31. True or false: According to the lesson, a deliverable is one finished, specific piece of work with a clear stopping point.

True

False

Question 32. True or false: According to the lesson, "get a job" counts as a deliverable, not a goal.

True

False

Question 33. True or false: According to the lesson, sequencing means deciding what order to complete a project's parts in, based on dependencies between them.

True

False

Question 34. True or false: According to the lesson, you should choose an AI tool for a task based on which friend recommended it, not its tested strengths.

True

False

Question 35. True or false: According to the lesson, the capstone project's two combined deliverables are a job application package and a marketing and communication package.

True

False

Question 36. True or false: According to the lesson, it is acceptable for an AI tool to invent a credential you do not actually have if it makes your application stronger.

True

False

Question 37. True or false: According to the lesson, every factual claim in the job application package should be verified against your own real history.

True

False

Question 38. True or false: According to the lesson, the marketing plan only needs two of its four required parts to be complete.

True

False

Question 39. True or false: According to the lesson, a placeholder like "image" counts as real alt text for the social media post.

True

False

Question 40. True or false: According to the lesson, the third piece of the marketing package can be either a press release or a piece of copywriting.

True

False

Question 41. True or false: According to the lesson, you must use at least two different AI tools somewhere across the two capstone deliverables.

True

False

Question 42. True or false: According to the lesson, you should be able to name which specific prompting technique you used and explain why.

True

False

Question 43. True or false: According to the lesson, self-assessment includes confirming there is exactly one heading level one and that no heading level is skipped.

True

False

Question 44. True or false: According to the lesson, once you save a document, you no longer need to check whether every interactive element is reachable by keyboard.

True

False

Question 45. True or false: According to the lesson, keeping your AI skills current after this course requires enrolling in another full course.

True

False

Part C: Short answer (Questions 46 to 50)

Type a brief answer, using a word or short phrase, for each question.

Question 46. According to the lesson, name one of the three steps in the practical framework for planning a multi-part project.

Your answer:

Question 47. According to the lesson, what is the name of this course's capstone portfolio project?

Your answer:

Question 48. According to the lesson, name one of the four required parts of the marketing plan.

Your answer:

Question 49. According to the lesson, what must alt text for an image actually do?

Your answer:

Question 50. According to the lesson, name one habit for keeping your AI skills current after this course ends.

Your answer:

Answer key

Each answer below includes a one-sentence explanation drawn from this week's lesson.

Answer key for the Week 24 comprehensive final test, with a one-sentence explanation for every question
Question	Correct answer	Explanation
1	A. A single, larger project that combines several skills already practiced separately into one connected piece of real, realistic work	The lesson defines a capstone project this way.
2	B. One finished, specific piece of work with a clear shape and a clear stopping point, as opposed to a vague overall goal	The lesson defines a deliverable this way.
3	C. In a capstone, you must decide for yourself which tool and technique fit which task, without being told which skill to apply	The lesson states nobody hands you narrow focus in a capstone, unlike a single week's lesson.
4	D. That you can take a real goal, break it into real deliverables, and produce finished, accurate, accessible work using AI as a genuine working partner	The lesson describes this as the larger proof a capstone offers beyond a single week's test.
5	A. Breaking a big goal into concrete deliverables, written down as a plain list	The lesson names this as the first of the three planning steps.
6	B. "Get a job"	The lesson gives this as an example of a goal, too big and vague to be a deliverable.
7	C. Deciding what order to complete a project's deliverables in, based on which pieces depend on facts or decisions from other pieces	The lesson defines sequencing this way.
8	D. Which tool's strengths best fit this kind of writing, and which specific prompting technique will get a usable first draft fastest	The lesson gives these as the two questions to ask when choosing a tool and technique for each deliverable.
9	A. Because it depends on the marketing plan's core message already being settled	The worked example sequences the social post after the marketing plan for this reason.
10	B. Claude, because its Projects feature was already tested for keeping the organization's background facts and tone in one place	The worked example explains this tool choice.
11	C. Asking the AI tool for a first-draft description, then editing it by hand until it specifically describes the image	The worked example applies the AI-draft-then-edit alt text technique this way.
12	D. My AI Skills Capstone Project	The lesson names this as the course's capstone project.
13	A. A job application package and a marketing and communication package	The lesson names these as the two combined deliverables the capstone requires.
14	B. A tailored resume and a tailored cover letter, both aimed at one specific job posting	The lesson describes the job application package this way.
15	C. Letting the AI tool invent experience, a job title, or a credential you do not actually have	The lesson states this must never happen, even if it would strengthen the application.
16	D. Your own real history	The lesson requires checking every specific claim against your own real history.
17	A. As accessible files, with proper heading structure and a tagged format rather than a purely visual one	The lesson describes this as the required export method for both documents.
18	B. Three	The lesson states the marketing and communication package needs at least three pieces.
19	C. A goal, a timeline, the channels you will use, and a way to measure success	The lesson gives this as the marketing plan's required four-part shape.
20	D. A description that actually and specifically describes what is in the image	The lesson states a placeholder or file name is not real alt text.
21	A. A press release or a piece of copywriting, such as landing page copy	The lesson gives these as the two choices for the third piece of the marketing package.
22	B. Headline, dateline, lead paragraph, quotes, boilerplate, and contact information	The lesson gives this as the full press release structure.
23	C. Hook, benefit, evidence, and call to action	The lesson gives this as the structure for a piece of copywriting such as landing page copy.
24	D. At least two	The lesson requires using at least two different AI tools across the two deliverables.
25	A. Which specific technique you used and why, not just that you asked AI for help	The lesson requires being able to name and explain each prompting technique used.
26	B. Critically edit it for generic AI voice, reading it in full with Say All	The lesson requires this AI-voice edit pass on every AI-drafted piece.
27	C. Specific skills you learned earlier in this course to specific choices you made while building the capstone	The lesson describes a strong final reflection as making this kind of specific connection.
28	D. That it is reachable by keyboard alone and its purpose is clear once you land on it	The lesson requires confirming this for every interactive element during self-assessment.
29	A. Every factual claim in the finished capstone, such as dates, numbers, job titles, and credentials, against a real, verified source	The lesson defines the fact-verification pass this way.
30	B. Vague, upbeat phrases that could describe almost any product or candidate, and a tone that does not sound like you or your organization	The lesson describes these as the markers the AI-voice edit pass listens for.
31	True	The lesson defines a deliverable as one finished, specific piece of work with a clear stopping point.
32	False	The lesson gives "get a job" as an example of a goal, not a deliverable.
33	True	The lesson defines sequencing exactly this way.
34	False	The lesson recommends choosing a tool based on its tested strengths for the task, not a friend's recommendation.
35	True	The lesson names these two packages as the capstone's combined deliverables.
36	False	The lesson states an AI tool must never invent experience, a job title, or a credential you do not actually have.
37	True	The lesson requires verifying every factual claim against your own real history.
38	False	The lesson requires all four parts of the marketing plan to be present.
39	False	The lesson states a placeholder like "image" is not real alt text.
40	True	The lesson gives a press release and a piece of copywriting as the two acceptable choices.
41	True	The lesson requires using at least two different AI tools across the two deliverables.
42	True	The lesson requires being able to name and explain each prompting technique used.
43	True	The lesson includes this heading check as part of self-assessment.
44	False	The lesson requires checking keyboard reachability as an ongoing part of self-assessment, not a one-time step.
45	False	The lesson states the same small habits, not another full course, keep skills current.
46	Breaking a big goal into concrete deliverables, sequencing the work, or choosing an AI tool and prompting technique for each deliverable (any one is an acceptable answer).	See this week's lesson section on the practical planning framework for the full explanation.
47	My AI Skills Capstone Project.	See this week's lesson section on the guided walkthrough for the full explanation.
48	A goal, a timeline, the channels you will use, or a way to measure success (any one is an acceptable answer).	See this week's lesson section on the marketing and communication package for the full explanation.
49	Actually and specifically describe what is in the image.	See this week's lesson section on the marketing and communication package for the full explanation.
50	Exploring a new interface with your screen reader's list of interactive elements or heading navigation, reading a tool's current help text, or spending time exploring something new before assuming it is inaccessible (any one is an acceptable answer).	See this week's lesson section on where to go from here for the full explanation.

After this course

This is the final week of the course. There is no next week, and there is no next lesson waiting for you. Congratulations. You have completed this training course: you learned what AI is and is not, you gained real, tested experience with the major AI tools available today, you learned to prompt them precisely and to build simple automations, and you applied all of that to real professional writing, from resumes and reports to press releases and landing pages, always checked for accuracy and always checked for accessible structure. That is a genuinely substantial body of skill, and you built it one deliberate week at a time.

From here, keep the habits that made this course work rather than the specific screen you saw on any given day: explore any new or changed AI interface yourself using your screen reader's list of interactive elements and heading navigation, verify what AI tells you before you trust it, and keep editing AI drafts until they sound like you. Keep adding to the portfolio you built here, one real piece at a time, as new opportunities and new ideas come along. You have already proven, across this entire course, that you can do this well. Go use it.