Prove
All outcomes
Learning

Rigorous Course: Project Deliverable + Certificate

12 weeks · 3 milestones

Complete a full structured online course from a recognised institution (MIT OCW, Coursera, edX, or equivalent) in a subject outside your normal curriculum. Proof is the completion certificate plus a 500-word reflection on what changed in your thinking.

Milestone map

Milestone map

3 milestones

Choose a free course and complete the first quarter

1–2 weeks

The right course is one where you can name a specific skill or knowledge goal that completing it will advance — not 'learn more about data science' but 'learn to write SQL queries for data analysis'. That specificity is what makes M3's applied output achievable: if you do not know what you plan to build or do with the course knowledge before you start, completing the certificate is not sufficient evidence that the outcome was worthwhile.

Proof required

Name the course, the platform, and your specific goal for taking it (one sentence: what will you be able to do or produce after completing this course that you cannot do now?). Share evidence that you have completed the first 25% of the course content — a screenshot showing completed modules, a completed exercise output, or a 200-word summary of what the first section covered and the specific thing from it you plan to apply.

What gets checked

  • Course is on a free platform and contains at least 5 hours of content — a short tutorial or a single video is not a course for this outcome
  • Specific goal is stated in one sentence and names what you will be able to do, not just a topic — 'learn Python' is a topic; 'write a Python script that reads a CSV file and outputs a filtered result' is a goal
  • Evidence of first-quarter completion is provided — completed module screenshot, exercise output, or 200-word content summary

Common mistakes

  • Choosing a course without a specific application goal — without knowing what you will build at M3, the certificate becomes the goal instead of the skill, and certificate-focused learning is less retained than application-focused learning
  • Choosing a paid course — this outcome uses free platforms only; paid courses (including Coursera subscriptions, Udemy purchases, or LinkedIn Learning) are not valid for this outcome

Resources

Foundationstart here

Depthgo deeper

Masteryfor the dedicated

What a verifier looks for

  • Confirm the platform is free — Coursera (paywalled July 2025), Udemy paid courses, and LinkedIn Learning subscriptions are not valid for this outcome
  • Ask the submitter to state their specific goal in one sentence — if they cannot name what they will be able to do or produce after completing this course, the goal is too vague to produce a meaningful M3 applied output
  • A 200-word content summary is a better M1 proof than a screenshot of a progress bar — ask the submitter what they learned in the first section if only a progress screenshot is provided

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Reach halfway with evidence of active engagement

2–4 weeks depending on course length and pace

Reaching 50–75% completion with evidence of active engagement — completed exercises, quiz scores, project submissions, or structured notes per module — is the halfway standard. A progress bar screenshot alone is not evidence of engagement: watching videos counts toward the progress bar, but the proof that learning happened is in what you produced while watching, not the fact that the video finished.

Proof required

Share your progress evidence showing 50–75% of the course content completed. Evidence must include something you actively produced — completed exercises, quiz scores, project submissions, or structured notes covering the key ideas from each module you have completed. A progress bar screenshot alone is not sufficient.

What gets checked

  • Progress is 50–75% of total course content, not just 50% of the first module
  • Evidence is of active engagement — exercises, quizzes, project submissions, or notes — not passive viewing
  • Notes or output covers at least two or three distinct modules or sections, not just the introductory content

Common mistakes

  • Watching videos at 2× speed without doing the exercises — this advances the progress bar but does not produce the active recall necessary for the skill to be usable at M3
  • Doing exercises in the course's own guided environment but not being able to reproduce the same task independently — the M3 applied output will require working outside the guided environment

Resources

Foundationstart here

Depthgo deeper

What a verifier looks for

  • A progress bar screenshot is not evidence of active engagement — ask the submitter to share a completed exercise, a quiz result, or notes from at least two different modules
  • Exercises completed inside the course platform's guided environment are valid M2 evidence; the test of whether learning happened comes at M3 when the submitter must produce an output outside the course's structure
  • If the course has no exercises, quizzes, or projects — only videos — ask how the submitter confirmed they understood the material; structured notes in their own words are the minimum

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Complete the course and produce one applied output

Remaining course duration plus time to produce the applied output

A milestone is complete when something real exists in the world that did not exist before the person started. Completing a course produces a certificate, but the real artifact of this outcome is something you built, computed, wrote, or did using skills from the course — something that requires the course knowledge to exist and that you produced independently, not as a guided course exercise. The certificate is secondary evidence that the course was taken; the applied output is the proof that the learning happened.

Proof required

Share your certificate of completion showing the platform name, course title, and completion date. Share one concrete applied output — something you built, computed, wrote, or did using skills or knowledge from this course that did not exist before you took it. Write 100 words explaining how the applied output uses specific knowledge from the course, naming the modules or concepts that made it possible.

What gets checked

  • Certificate shows the platform name, course title, and completion date — a screenshot of a progress bar or a 'course finished' banner is not a certificate
  • Applied output is a real artifact you produced independently, not a copy of a guided course exercise or a template filled in from a course worksheet
  • The 100-word connection note names specific course content (module titles, techniques, concepts) and explains how they appear in the applied output — 'I used what I learned in the course' is not sufficient

Common mistakes

  • Submitting a guided course exercise as the applied output — course exercises demonstrate you followed the instructions; an applied output demonstrates you can apply the skill to a goal you defined yourself, outside the course's structure
  • Completing the course without a clear application goal and then struggling to produce an applied output at M3 — this is why the specific goal stated in M1 matters; if the M3 output is not related to the M1 goal, explain why the goal changed

Resources

Foundationstart here

Depthgo deeper

Masteryfor the dedicated

What a verifier looks for

  • The certificate must show the platform name, course title, and completion date — confirm these three elements are visible; a certificate from a paid platform (Coursera, Udemy, LinkedIn Learning) is not valid for this outcome
  • Ask the submitter to describe the applied output independently — without showing it, can they explain what it does, what skills it required, and how they knew it was done? A submitter who built something they cannot explain has not yet internalised the skill
  • The 100-word connection note is diagnostic: a note that names specific module titles or techniques from the course is evidence of intentional application; a note that says only 'I used what I learned' is evidence that the connection was not explicitly made

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