Course outline
Module 1
Module 1: Introduction to AI Tools for Job Searching
Introduction to AI Tools for Job Searching
Knowledge check
Q1. Which of the following best describes how AI tools can help a job seeker when writing a CV?
- A. They replace the need for any personal input or review of the final document
- B. They can suggest stronger action verbs, improve clarity, and tailor wording to a specific job description
- C. They automatically submit the CV to every employer in the job market
- D. They guarantee an interview invitation for any applicant who uses them
Q2. What is a key risk to keep in mind when using AI to draft a CV?
- A. AI tools always produce plagiarism-free content, so no review is needed
- B. AI may generate inaccurate or exaggerated claims about your experience, so you must verify every detail
- C. AI tools cannot process any text longer than one sentence
- D. AI tools permanently store your CV and share it publicly by default
Q3. How can AI tools assist with interview preparation?
- A. By attending the interview on your behalf
- B. By generating likely interview questions for a role and letting you practise drafting and refining your answers
- C. By memorising a single scripted answer to use for every question
- D. By deciding in advance which employer will hire you
Q4. Which practice is most appropriate when using AI to tailor a CV to a job advertisement?
- A. Copy the job advertisement word for word into your CV
- B. Provide the job description and your genuine experience, then edit the suggestions to reflect what you truly did
- C. Invent skills listed in the advertisement that you do not have
- D. Remove all information about your previous roles
Q5. What is the best reason to keep personal data limited when using online AI tools for job searching?
- A. Personal data makes AI tools run more slowly and so should always be avoided
- B. Online tools may store or use submitted data, so sharing sensitive details like your full address or ID numbers carries privacy risks
- C. AI tools only accept data written in capital letters
- D. Employers can read any information typed into an AI tool
Module 2
Module 2: Using AI to Tailor Your CV
Using AI to Tailor Your CV
Knowledge check
Q1. What is the most effective first step when using AI to tailor your CV to a specific job posting?
- A. Ask the AI to rewrite your entire CV from scratch without any input
- B. Paste the job description alongside your current CV and ask the AI to identify key skills and keywords the employer is looking for ✓
- C. Add every skill you have ever learned to make your CV look longer
- D. Submit the AI-generated CV without reading it first
Why: Providing both the job description and your current CV gives the AI the context it needs to identify relevant keywords and gaps, producing targeted suggestions rather than generic rewrites.
Q2. Why is it important to review AI-generated CV content before submitting it?
- A. AI tools always produce perfect content that never needs checking
- B. AI can invent achievements, exaggerate responsibilities, or misstate facts, so you must verify everything is accurate ✓
- C. Employers can detect AI-written CVs and will reject them automatically
- D. Reviewing is only necessary for formatting, not content
Why: AI tools can fabricate or overstate details. Your CV must truthfully reflect your experience, so every claim should be checked against your actual background.
Q3. Which type of keyword optimization is most useful when tailoring a CV for applicant tracking systems (ATS)?
- A. Repeating the same keyword dozens of times in white text
- B. Mirroring relevant terms from the job description that genuinely match your experience ✓
- C. Using only abbreviations and avoiding full job titles
- D. Including keywords from unrelated industries to appear versatile
Why: ATS software scans for terms that match the job posting. Using relevant terms that accurately describe your real experience improves visibility without resorting to deceptive tactics.
Q4. When asking AI to rewrite a bullet point for a CV, what makes a stronger prompt?
- A. Just say 'make this better'
- B. Specify the role, the context of your achievement, and the outcome, then ask for a result-focused version using action verbs ✓
- C. Ask the AI to invent impressive numbers to include
- D. Request the shortest possible answer with no detail
Why: Specific prompts give the AI context to produce relevant, accurate bullet points. Including the outcome and asking for action verbs leads to clearer, more impactful wording.
Q5. What should you do after using AI to tailor your CV for a particular job?
- A. Use the exact same tailored version for every job application
- B. Save the tailored version as a separate file for that specific role and adjust it again for future applications ✓
- C. Delete your original CV so you only have the tailored version
- D. Send the tailored CV to all employers in the industry
Why: Keeping a separate version for each role lets you maintain accuracy and relevance, and each new application may require its own adjustments based on the specific job description.
Module 3
Module 3: Crafting Achievement-Focused Bullet Points with AI
Crafting Achievement-Focused Bullet Points with AI
Knowledge check
Q1. Which bullet point best follows an achievement-focused format for a CV?
- A. Responsible for managing the sales team and handling customer inquiries.
- B. Led a 6-person sales team to a 25% revenue increase over two quarters by introducing a new lead-tracking process. ✓
- C. Was a hard-working team player who always did my best to help others.
- D. Duties included answering phones, filing reports, and attending weekly meetings.
Why: Achievement-focused bullets state a concrete action and a measurable result. Option B names the action (led a team, introduced a process) and quantifies the outcome (25% revenue increase), which is what recruiters look for. The other options list duties or personal traits without evidence of impact.
Q2. When using AI to help draft CV bullet points, what should you do first?
- A. Paste the AI output directly into your CV without changes so it sounds professional.
- B. Provide the AI with accurate details of your actual responsibilities and results, then verify and edit every claim. ✓
- C. Ask the AI to invent metrics so your bullets look more impressive.
- D. Use only the job title and let the AI write everything from scratch without your input.
Why: AI works best when given accurate context about your real work. You must verify every claim, since AI can generate plausible but false numbers or details. Inventing metrics or pasting output unchecked risks misrepresentation and can be discovered in interviews.
Q3. Which prompt is most likely to produce useful, achievement-focused bullet points from an AI tool?
- A. Write something good for my CV.
- B. Make me sound amazing.
- C. Rewrite this duty as an achievement: 'Handled customer complaints.' I resolved about 40 complaints per week, and my resolution rate improved from 70% to 88% after I created a FAQ guide. Include the result. ✓
- D. Give me 100 bullet points for any job.
Why: Specific prompts that include the original duty, the actual actions taken, and the measurable outcomes give the AI what it needs to produce accurate, tailored bullets. Vague prompts like A and B produce generic text, and D is too broad to be tailored to any real role.
Q4. Which element is NOT typically part of a strong achievement-focused bullet point?
- A. A strong action verb such as 'reduced,' 'launched,' or 'streamlined.'
- B. A measurable result such as a percentage, dollar amount, or time saved.
- C. A clear description of what you specifically did.
- D. A long list of every task you performed during the role. ✓
Why: Strong bullets are concise and focus on key accomplishments. Listing every task dilutes impact and wastes space. Action verbs, measurable results, and specific actions are all core components of achievement-focused writing.
Q5. After AI generates several bullet point options, what is the best way to choose and refine them?
- A. Pick the longest one, since more words show more experience.
- B. Select the bullets that reflect your real experience, match the target job's keywords, and are concise enough to read quickly. ✓
- C. Combine all options into one very long bullet point.
- D. Choose randomly, since all AI output is equally reliable.
Why: The best bullets are truthful, relevant to the target role, and concise. Matching keywords from the job description helps with applicant tracking systems and recruiter scanning. Length alone does not signal quality, and AI output always needs human judgment.
Module 4
Module 4: Writing Cover Letters with AI Assistance
Writing Cover Letters with AI Assistance
Knowledge check
Q1. What is the most important thing to provide an AI tool when asking it to help draft a cover letter?
- A. Only the job title you are applying for
- B. The job description, your relevant experience, and the company name ✓
- C. A request to make the letter sound impressive without any details
- D. Your entire life history from childhood onward
Why: AI tools produce the most tailored results when given the job description, your relevant experience, and the company name. Without these specifics, the output tends to be generic and may not match what the employer is looking for.
Q2. Which of the following is a good practice after an AI generates a cover letter draft?
- A. Send it immediately without any changes
- B. Check every fact, achievement, and claim against your actual experience and edit the wording to sound like you ✓
- C. Assume the AI has verified all the details about the company
- D. Add more generic buzzwords to make it sound stronger
Why: AI can invent or exaggerate details, and generic phrasing can make your letter sound like everyone else's. Verifying facts and rewriting in your own voice ensures accuracy and authenticity, which employers value.
Q3. Why might a hiring manager notice an AI-written cover letter that was not edited?
- A. Because AI always uses perfect grammar, which is suspicious
- B. Because it often contains vague, overused phrases and lacks specific, personal examples ✓
- C. Because AI letters are always too long to read
- D. Because employers can detect the exact software used
Why: Unedited AI text often relies on stock phrases like 'passionate team player' and lacks concrete, personal examples. Specific accomplishments with measurable results make a letter stand out and feel genuine.
Q4. What is a useful prompt strategy when using AI to improve an existing cover letter?
- A. Ask the AI to rewrite the whole letter from scratch with no reference to your original text
- B. Ask the AI for specific feedback, such as tightening the opening paragraph or clarifying how your skills match the role ✓
- C. Ask the AI to guarantee you will get the job
- D. Ask the AI to lengthen the letter to at least five pages
Why: Targeted requests like tightening an opening or clarifying skill matches give focused, actionable improvements while preserving your voice. Vague or unrealistic requests tend to produce less useful results.
Q5. Which detail should you personally add to a cover letter rather than leave entirely to AI?
- A. The standard closing phrase 'Sincerely'
- B. A specific story or achievement from your own career that shows why you are a strong fit ✓
- C. The font style and margin width
- D. The date format used in the header
Why: Personal stories and specific achievements are what make a cover letter credible and memorable. AI can help organize and polish them, but you need to supply the real examples from your own experience.
Module 5
Module 5: Preparing for Interviews with AI Practice
Preparing for Interviews with AI Practice
Knowledge check
Q1. What is the main benefit of using AI to practice for a job interview?
- A. It guarantees the exact questions you will be asked
- B. It lets you rehearse answers and receive feedback anytime without needing a human partner ✓
- C. It replaces the need to research the company
- D. It automatically writes your answers so you can memorize them word for word
Why: AI practice tools let you rehearse responses on your own schedule and often provide feedback on clarity and structure. They cannot predict exact questions, and memorizing scripted answers is generally less effective than practicing how to explain your experience naturally.
Q2. Which prompt would most likely produce the most useful practice session from an AI tool?
- A. Ask me an interview question
- B. Tell me everything about interviews
- C. Act as a hiring manager for a junior marketing role. Ask me one behavioral question at a time, then give feedback on my answer using the STAR method ✓
- D. Write my interview answers for me
Why: Specific prompts that define a role, format, and feedback criteria produce more relevant and actionable practice. Vague prompts tend to yield generic responses, and asking the AI to write answers for you skips the practice itself.
Q3. What does the STAR method stand for when answering behavioral interview questions?
- A. Skills, Tasks, Achievements, Results
- B. Situation, Task, Action, Result ✓
- C. Strategy, Teamwork, Analysis, Reflection
- D. Summary, Timeline, Approach, Recommendation
Why: STAR stands for Situation, Task, Action, Result. It gives a clear structure for describing a past experience: the context, your responsibility, what you did, and the outcome.
Q4. Why should you review and personalize AI-generated interview feedback rather than accept it as-is?
- A. AI feedback is always incorrect
- B. AI may give generic advice that doesn't reflect your industry, voice, or real experience ✓
- C. Interviewers are not allowed to see AI-influenced answers
- D. AI tools cannot store practice sessions
Why: AI feedback can be generic or miss industry-specific expectations, and answers that sound unlike you can come across as rehearsed. Critically evaluating the feedback and keeping your authentic voice makes your interview performance stronger.
Q5. Which is the best way to use AI when preparing for a company-specific interview?
- A. Ask AI to invent facts about the company so you sound informed
- B. Skip company research because AI already knows everything
- C. Use AI to help organize questions from the company's public website, press releases, and job description, then verify the details yourself ✓
- D. Only memorize the company's logo and founding year
Why: AI can help you structure research and generate relevant questions, but it can also hallucinate or be outdated. Verifying details against the company's own sources ensures you sound informed and accurate in the interview.
Module 6
Module 6: Researching Employers Using AI
Researching Employers Using AI
Knowledge check
Q1. What is the most effective first step when using AI to research a potential employer before applying?
- A. Ask the AI to guess the company's salary structure without providing any sources
- B. Provide the AI with the company name and ask it to summarise recent news, products, and values, then verify key facts against the company's own website ✓
- C. Copy the job description into an AI tool and accept its summary of the company culture as fact
- D. Ask the AI to write your cover letter before you have looked at the company at all
Why: AI can quickly summarise a company's public profile, but its outputs may be outdated or inaccurate. Combining AI summaries with verification against primary sources such as the company website, press releases, and reputable news ensures you rely on accurate information.
Q2. Why should you be cautious about AI-generated information on a company's financial health?
- A. AI tools are legally prohibited from discussing financial topics
- B. AI models may have outdated training data or hallucinate figures, so financial claims should be checked against filings or reliable financial news ✓
- C. AI always reports financial data exactly as found in annual reports
- D. Financial information is never relevant to a job seeker
Why: AI models are trained on data up to a certain date and can generate plausible-sounding but incorrect numbers. For financial health, check recent annual reports, filings, or reputable financial news directly.
Q3. Which prompt is most likely to produce useful research about an employer's culture?
- A. Tell me everything about this company.
- B. Is this a good company?
- C. Based on this company's published career page and employee reviews I've pasted, summarise recurring themes about work-life balance, career growth, and management style, noting where the sources disagree.
- D. Write a positive paragraph about this company for my CV.
Q4. What is a sensible way to use AI when preparing interview questions about an employer?
- A. Ask AI to generate questions and use them without checking whether they reflect the company's actual priorities
- B. Ask AI to suggest questions based on the company's stated mission and recent announcements you have provided, then tailor them to show genuine research ✓
- C. Avoid asking any questions in the interview so the employer is not offended
- D. Memorise a list of generic questions that could apply to any company
Why: Providing AI with specific, verified information about the company lets it generate relevant questions. Tailoring them shows interviewers you have done genuine research, which is more persuasive than generic questions.
Q5. What ethical consideration should you keep in mind when using AI to research employers and people within them?
- A. There are no ethical concerns because all the information is public
- B. Avoid compiling personal details about individual employees or hiring managers beyond professional public profiles, and respect privacy while researching ✓
- C. You should try to find employees' home addresses to learn about the company
- D. Ethics only matter once you have been hired
Why: Good research focuses on the organisation and professional public information. Compiling personal details about individuals raises privacy concerns and can be inappropriate, so keep research professional and respectful.
Module 7
Module 7: Ethics, Accuracy, and Keeping Your Authentic Voice
Ethics, Accuracy, and Keeping Your Authentic Voice
Knowledge check
Q1. Which of the following is the best practice when using AI to help write your CV?
- A. Accept every AI suggestion without checking, since the tool knows the job market better than you do
- B. Review every claim the AI adds and confirm it is true and something you can back up in an interview
- C. Ask the AI to invent achievements that sound impressive so your CV stands out
- D. Copy the AI output directly into applications without reading it, to save time
Q2. An AI tool suggests adding 'led a team of 12 engineers' to your CV, but you only supervised 3 people. What should you do?
- A. Keep the AI's wording because recruiters rarely verify team sizes
- B. Change it to 'led a team of 12' so the claim matches the suggestion
- C. Correct it to reflect the truth, such as 'supervised 3 engineers', since misrepresentation can be discovered and damage your credibility
- D. Remove the entire line about leadership to avoid any risk
Q3. Why is it important to keep your authentic voice when using AI to draft interview answers?
- A. Interviewers can usually tell when answers sound rehearsed or unlike the candidate, and they want to assess the real you
- B. AI-generated answers are always rejected by automated screening systems
- C. Authentic voice is only important for creative jobs, not for professional roles
- D. Using your own words is legally required in all job interviews
Q4. Which approach best helps you use AI ethically while preparing for an interview?
- A. Memorize AI-written answers word for word so you never hesitate
- B. Use AI to practice questions and get feedback, then rewrite key points in your own words and rehearse stories from your real experience
- C. Use an AI tool secretly during a live video interview to prompt your responses
- D. Ask AI to research the interviewer's private personal life to gain an edge
Q5. A recruiter asks you to explain a project listed on your CV that an AI tool helped you describe. What is the most ethical and effective response?
- A. Repeat the AI's wording exactly, even if you do not fully understand the details
- B. Deny that you worked on the project to avoid follow-up questions
- C. Explain the project in your own words, including your specific role, decisions, and results, so your understanding is clear
- D. Say the AI wrote the project description and ask the recruiter to ignore it