Your Story, Your Evidence

Time to write your CV! Open a blank document, and type the first line, maybe something like “Experienced professional with a passion for technology”. Then, stare at it for a while… Ahem… Ok, looks like this isn’t going anywhere (closes laptop).

Do you know that feeling?

There’s real work you’ve done, whether in a previous career, an internship, a bootcamp, or all those years in your current job. But… when it’s time to write it all down, it sounds either unimpressive or like everyone else’s CV.

In this course, you’ll finally start to properly prepare for job applications, assemble the pieces you need, and learn how to weave it all together.

What You’ll Build

You’ll need more than a clever CV template for a great application. What makes or breaks it is a well crafted story about what you can do in a specific kind of role, backed by evidence that you can defend, and that’s tailored to your reader. In this course, you’ll build that story from your own experience, piece-by-piece:

1. Know your story: Pick a target role, map what employers ask for, take stock of your experience, and turn it into a bank of specific achievement stories.
2. Show proof of your skills: Decide what counts as proof for your target role, then pick and write up projects so that a reviewer sees your skills in thirty seconds.
3. Write a tailored CV: Turn your stories into impact bullets, structure a master CV, and tailor it for a real posting in about thirty minutes.
4. Get noticed: Make your LinkedIn profile tell the same story, find companies worth watching, and write outreach messages that people actually answer.
5. Tell your story in interviews: Practice your pitch, behavioral answers, project deep dives, and explanations of the tricky parts of your background out loud.

At the end, you’ll put it all to work in a small application campaign for real postings. Each step builds on the one before, so keep going through the course in order. Your CV comes from your story bank, and your interview answers come from the same stories.

How the Lessons Work

The course mixes three kinds of lessons. Text lessons like this one explain an idea, usually by showing you a weak example first (a CV line that lists duties or a vague pitch) and then helping you work out why it falls flat and how to fix it. Each one ends with a task for your own materials.

Mentor sessions are where most of the learning happens. You press a button, and Mentor AI runs a guided session with you. It interviews you about your experience, coaches you on your stories, plays a recruiter skimming your CV, or runs a mock interview. Every session starts fresh, and you can repeat any of them as often as you like.

Each session explains its commands at the start, such as hint when you’re stuck and wrap up when you want your feedback.

Quizzes at the end of each section check your judgment on questions like which of two bullets is stronger, how a recruiter will read a headline, or which piece of popular career advice is a myth.

The examples feature people at different stages of their tech careers, such as new graduates, career changers, developers moving up, and people returning after a break. It’s easier to spot what’s wrong in someone else’s draft, so you’ll often look at a typical weak example first. Then you’ll apply the same fix to your own materials, because those are the ones that count.

Set Up Your Career Folder

For your materials to grow throughout the course, you’ll keep them yourself locally in a career folder. That can be a folder of Markdown or text files or a single document with one heading per file. Here’s what will end up in it:

• profile.md: a short career profile card that you paste at the start of each mentor session
• requirements_map.md, inventory.md, story_bank.md, and positioning.md: your story
• proof_map.md: your proof
• cv/, linkedin.md, companies.md, and outreach.md: your applications and profiles
• interview_prep.md and campaign.md: your interviews and your campaign

Don’t worry about these yet. Each lesson tells you which file you’ll add to. For now, create the folder or document. If you’d like a head start, download the career folder templates below. They include one ready-made file for each item in the list, plus a one-page quick reference of the shapes you’ll learn in this course:

If you already have a CV, a LinkedIn profile, or a portfolio, drop a copy in there too. You’ll be glad to have the “before” picture later!

A Few Ground Rules

You’ll return to three ideas throughout the course. First, you draft first. Mentor AI asks questions and gives hints, but it won’t write your stories for you while you’re learning. When you write your own materials, you can defend them in an interview.

Second, nothing gets invented. You should be able to back up every claim in your materials if a hiring manager asks, “How do you know?” A careful estimate is fine as long as you can explain where it came from.

Third, conventions vary. This course uses CV which is the standard name for this document used by US employers. In Europe, it’s often called a résumé, and norms for length, photos, and personal details differ between countries. Many European employers, for example, are familiar with the Europass CV format, which looks quite different from a typical US CV. When advice depends on your market, the lessons say so.

Job searching is uneven, and it’s normal to feel like you haven’t done anything worth writing down. You’ll probably find that you’ve done more than you think. For a bit of encouragement, the Real Python Learner Stories show how other Pythonistas have grown their skills and careers. Up next, you’ll start your first mentor session and set the direction for everything that follows.