Portfolio & Interview Prep — Full Course Syllabus

Presenting a coding project professionally — README polish, demo scripts, and interview talking points.

1. 1. Project timeline & task breakdownSplitting the MVP into discrete tasks with estimated durations and sequencing.
2. 2. Commit message conventionsWriting clear, consistent commit messages that document intent and changes.
3. 3. Project READMEWriting a README that explains the project's purpose, setup steps, and usage.
4. 4. Wireframing UICreating low-fidelity UI wireframes or sketches to plan user flows and screens.
5. 5. Local development server setupConfiguring a repeatable local environment and run scripts for development.
6. 6. Environment configuration files (.env)Managing environment-specific configuration securely and reproducibly using .env patterns.
7. 7. Feature-driven development workflowImplementing features incrementally driven by user stories and acceptance criteria.
8. 8. Project idea selectionHow to choose a focused, demonstrable project idea that maps to your learning goals and time constraints.
9. 9. User storiesWriting individual user stories that describe features from an end-user perspective.
10. 10. Acceptance criteriaDefining clear, testable acceptance criteria for each user story.
11. 11. Feature branchesUsing feature branches to isolate work and manage parallel development.
12. 12. Pull request basicsCreating a pull request to propose changes and request review before merging.
13. 13. Basic linting setupAdding and configuring a linter to maintain consistent code style and catch errors early.
14. 14. Release versioning (semantic versioning)Applying semantic versioning to track releases and communicate changes.
15. 15. Simple static hosting deploymentDeploying a static frontend or single-page app to a hosting provider (e.g., GitHub Pages, Netlify).
16. 16. Documentation site / docs folderCreating a concise docs page that explains architecture, setup, and development guidelines.
17. 17. Project demo video scriptWriting a short script and shots plan to record a demo video that highlights key features and decisions.
18. 18. Portfolio writeupComposing a project case study that outlines problem, approach, challenges, and outcomes.
19. 19. Preparing a changelogMaintaining a changelog that records notable changes and release notes.
20. 20. Project retrospectionConducting a short post-project review noting lessons learned and next steps.
21. 21. Repository initialization (git init)Creating a project repository and the initial commit to start version control.
22. 22. Selecting portfolio projectsHow to choose which completed projects to include based on relevance, complexity, and demonstrable impact.
23. 23. Targeting projects to job roleMapping project skills and technologies to the specific job requirements or role you're applying for.
24. 24. Audience framingDefining the assumed technical background and hiring-stage perspective of a portfolio viewer.
25. 25. Project elevator pitchA concise one- or two-sentence summary that communicates the problem, your role, and impact.
26. 26. Project narrative structureOrganizing a project story into problem, approach, tradeoffs, and results for portfolio readers.
27. 27. Technical README skeletonThe minimal README sections (title, summary, setup, usage, architecture, license, contact) and their purposes.
28. 28. Concise Setup GuideStep-by-step commands and environment details required to run the project locally or for a demo.
29. 29. Including screenshots and GIFsAdding annotated images or short recordings to quickly communicate UI and behavior without running code.
30. 30. Creating a demo scriptA step-by-step script with timings and talking points to guide you through a live demo or walkthrough.
31. 31. Defining success criteria for demosSpecifying what a successful demo looks like and which features to prioritize if time is limited.
32. 32. Timing and pacing for walkthroughsPlanning demo length, checkpoints, and when to pause for questions to keep interviews on schedule.
33. 33. Preparing concise answers for common project questionsAnticipating and drafting brief responses to typical technical and design questions about the project.
34. 34. Demo branch / tag for interview-ready codeUsing a dedicated branch or tag for the demo-ready state to avoid accidental changes during interviews.
35. 35. Semantic commits and changelog entriesCrafting clear commit messages and a demo changelog that explain what changed for a given demo state.
36. 36. Repository access and contributor notesSpecifying license, contribution guidelines, and how reviewers can run or extend the project safely.
37. 37. Optimizing README discoverabilityStructuring titles, badges, and first lines so the repository clearly signals purpose in search listings.
38. 38. Portfolio card component formattingModular components of a portfolio card: thumbnail, title, short pitch, tech stack, links, and badges.
39. 39. Curating tech stack listSelecting and ordering the technologies displayed per-project to maximize relevance without noise.
40. 40. Preparing STAR-format talking points for behavioral interview questionsLinking project experiences to STAR-format answers that highlight collaboration and decision-making.
41. 41. Mock walkthrough rehearsalRunning timed practice sessions of the demo with peers and recording feedback to refine delivery.
42. 42. Preparing a README FAQAdding a short FAQ addressing likely reviewer questions like runtime, limitations, and future work.
43. 43. Capstone demo performance checklistApplying a short checklist of performance optimizations appropriate for a capstone demo (caching, image sizing, lazy-loading).
44. 44. Accessibility checklistApplying essential accessibility practices to make the project usable (semantic markup, keyboard support, alt text).
45. 45. Code ownership boundariesDefining package/module ownership and access rules to reduce coupling inside a monorepo.
46. 46. Highlighting measurable impactSelecting and presenting quantitative or qualitative outcomes that demonstrate value or learning.
47. 47. Documenting architecture overviewDescribing high-level components, data flow, and key design decisions in a short diagram or paragraph.
48. 48. API usage examplesProviding minimal runnable code snippets or curl examples that show common API or interface usage.
49. 49. Providing reproducible seeds/dataIncluding small sample datasets or seed scripts that let reviewers reproduce meaningful demo states.
50. 50. Automating demo setup scriptsUsing scripts (npm scripts, Makefile) to automate environment setup, build, and demo startup steps.
51. 51. Linking live demosProviding a stable URL or sandbox link that lets reviewers interact with the project (with fallback notes).
52. 52. Packaging a minimal reproductionCreating a trimmed project or branch that contains only the code necessary for the demo or interview.
53. 53. Fail-safe demo plansPreparing alternate demo paths (recorded video, screenshots, prerecorded state) in case live demo fails.
54. 54. Explaining tradeoffs conciselyHow to state architecture or implementation tradeoffs and alternatives succinctly during interviews.
55. 55. Recording walkthrough videosCreating short, edited screencasts with voiceover that demonstrate key flows and decisions.
56. 56. Writing a short technical appendixSupplementary detailed notes (diagrams, algorithms, benchmarks) for reviewers who want depth.
57. 57. Security and sensitive data handling in README and codeRemoving secrets, adding environment variable guidance, and noting any security considerations in the README.
58. 58. Quick rollback pointsSaving checkpoints (tags/releases) before a demo so you can revert to a known-good state if needed.
59. 59. Legal and privacy noticesNoting any licensing, third-party data/privacy constraints, or demo terms that affect reviewer use.
60. 60. Live debugging during demosTechniques to safely reproduce and debug small issues live while keeping the interview constructive.