Grokking Prompt Engineering for Professional Portfolio and Job Search

What the course covers

The course has 14 chapters, 51 lessons and 12 quizzes:

1. Introduction: how the course works, an introduction to ChatGPT, and AI's role in building a portfolio.
2. Mastering prompt writing fundamentals: what makes a prompt effective, prompt types and practice exercises.
3. Advanced prompt strategies: scenario-based prompting, iterative feedback loops and fixing prompts that underperform.
4. Crafting compelling portfolio content: portfolio sections and impact-focused project descriptions.
5. Resume writing with prompt engineering: how a resume differs from a portfolio, and tailoring to a specific job.
6. Optimising for freelance platforms: choosing marketplaces, writing proposals, and personal sites and link pages.
7. Mastering cover letters: drafting, customising and avoiding common mistakes.
8. Professional email and communication: structure, pitfalls and templates for common situations.
9. Designing a LinkedIn portfolio: profile optimisation, key sections, adding media and keeping it current.
10. Job search and SEO optimisation: automating parts of the search and making your profile easier for recruiters to find.
11. Personal branding and standing out: a consistent online identity across platforms.
12. Interview preparation with ChatGPT: practising technical and behavioural questions and following up afterwards.
13. Continuous revisions and future-proofing
14. Action plan and conclusion: a recap and checklist.

Format, length and cost

It is text-based and self-paced, with quizzes throughout. The stated study time is about eight hours. As of September 2026 the course page lists a one-time price of $72 with lifetime access, a completion certificate, a 4.2 out of 5 rating from 449 reviews, and 634 learners. No prior AI knowledge is required; the first chapter introduces ChatGPT from scratch.

The principle that runs through it

AI can make a job search much faster, and it can also produce the flat, generic material recruiters learn to spot quickly. The course focuses on the difference: using a model to express your real achievements more clearly, tailoring to each role, and iterating on drafts rather than pasting the first output. Used this way, the tools make your own experience easier to see, rather than replacing it.

How to get the most out of it

• Work on your real materials as you go. Rewrite one project description, your LinkedIn headline and a cover letter alongside the relevant chapters.
• Keep a prompt library. Save the prompts that worked well for tailoring a CV, drafting outreach or practising answers, so each new application takes minutes.
• Always add specifics. Numbers, technologies and outcomes from your own work are what make AI-assisted drafts sound like you.
• Read everything aloud before sending. If a sentence does not sound like something you would say, rewrite it.
• Use the interview chapter for repetition. Practise answering, then ask the model for follow-up questions on your weakest answer.

What you can do afterwards

You will have a repeatable process for tailoring applications, a stronger portfolio and LinkedIn profile, templates for professional emails, and a way to rehearse interview answers with AI. For the technical side of interviews, the AI Mock Interviews and Grokking Prompt Engineering for Software Engineers resources in the same library are natural companions.

Common questions

Do I need to know anything about AI first? No. The course starts with the basics of ChatGPT and prompting.

Is it only for software engineers? No. Much of the material (portfolios, freelance proposals, LinkedIn, professional email) applies across roles.

How long does it take? About eight hours, which fits into a week or two of evenings.

Best for: job seekers and early-career professionals who want to use AI tools to build a stronger portfolio and applications, faster.