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The curriculum of Techtonica, a free tech training and job placement program for women and non-binary adults with low incomes.

License: Creative Commons Attribution Share Alike 4.0 International

Shell 6.08% HTML 6.00% Python 61.71% JavaScript 26.21%

curriculum's Introduction

Welcome to the Techtonica curriculum!

Techtonica is a non-profit project of SocialGood that does free tech training and job placement for unemployed or underemployed folks. For more information, please see our website: Techtonica.org

Apprentices will learn to do full-stack web development using JavaScript. What bootcamps and apprenticeships like Techtonica have in common is the fact that they are intensive training. However, bootcamps can be pretty passive classroom learning with students and they cost between $15,000 and $30,000.

An apprenticeship aims to be more like the workplace to make the transition into the industry better—instead of having an instructor constantly guiding you, a facilitator gives you assignments and you're expected to figure out what to do with volunteers, mentors, tech groups, and other apprentices. In the best-case scenarios, there are regular check-ins with managers and mentors provide support. We’re making Techtonica’s program as hands-on and project-based as possible to best prepare you for work in tech.

Jump to Curriculum Table of Contents.

Volunteering:

If you would like to contribute to the curriculum, please sign up here, then choose an issue in the to-do list.

Get started:

  • Choose an issue from the TO-DO column that seems right for you & message Techtonica staff. If you know someone connected to Techtonica, they may be able to add you to our slack channel. If you are here for GSSoC19, message Alina L. (M) and say you'd like to pick up the issue.
  • In the issue, you should find a link for a lesson outline and for corresponding slides.
  • If it is in the "TO-DO" column, that means it is available, even if there's an "assignee".
  • To create an outline, fork the repo or commit directly onto the master branch. Here is a topic outline template that explains what we need for each section.
  • To edit a slideshow, you'll need to request edit permission by clicking View Only > Request Edit Access, or message Alina. If you are logged into an account ending in @gmail.com, you can simply make a copy, edit, and transfer ownership to [email protected] when you finish. Either way, save on top of the sample template used in the slide, and cut any slides you find unnecessary.
  • To make a video, one effective solution has been to record your screen as you explain the lesson slides to the apprentices. An alternative can be a video found online that covers all the objectives of the lesson in a way suited to beginners.
  • Here is an example of a great lesson trio: MongoDB Slides, MongoDB Lesson Outline, MongoDB Video.

While working:

  • Comment in the issue if you have a question, or send a slack message.
  • People are welcome to team up on an issue. If you see someone is already assigned but you want to help, leave the other assignee a message on the issue about collaborating.
  • Please note the due date! Any amount of help is appreciated, but if the deadline approaches and you won't be able to complete it, please leave a comment about your progress and unassign yourself from the issue so someone else can pick it up. If you forked the repo, go ahead and make a pull request with what you have, and transfer ownership of a copied slideshow to [email protected].

Completed curriculum:

  • Place a "completed" label on the issue once you've completed it, make a pull request to Techtonica/curriculum master, and leave comments about your work if you like. Grazie Mille!!

Table of Contents

Onboarding

  1. Welcome, Tips, and Rules
  2. How to Learn
  3. Growth Mindset
  4. Professionalism
  5. Tech Industry Tips
  6. Roles in Tech
  7. Ergonomics

Programmer Tools

  1. Intro to Command Line Interface Tools
  2. Advanced Command Line
  3. Bash Profile
  4. Vim
  5. Operating Systems
  6. Keyboard Shortcuts
  7. Asking Good Questions
  8. Local Development with VS Code
  9. Networking
  10. Interpersonal Conflict Resolution
  11. How the Internet Works: Requests and Responses
  12. Intro to DNS
  13. How to Pair Program

Client-side Development && Confident Programming

  1. HTML
  2. Recipe Page Project: HTML
  3. Git Version Control
  4. .gitignore
  5. Using GitHub for Code Storage
  6. CSS
  7. Chrome Developer Tools: Setup
  8. Recipe Page Project: CSS
  9. Media Queries
  10. UI/UX
  11. Web patterns
  12. Bootstrap
  13. Building Confidence
  14. Recipe Page Project: Bootstrap
  15. Giving Presentations
  16. Diversity, Inclusion, and Bias
  17. Portfolio Project: HTML, CSS & Bootstrap
  18. SEO: Search Engine Optimization
  19. a11y: Accessibility
  20. Portfolio Project: Incorporating SEO & a11y
  21. Using GitHub for Project Collaboration
  22. Portfolio Project: Personal Branding
  23. Reading/Writing Documentation
  24. Writing Readable Code
  25. Deploy your Portfolio Project: Deploying Client-Side Apps with Netlify
  26. JavaScript: Lessons 1-8
  27. Whiteboarding
  28. Datetime
  29. Testing & TDD
  30. OOP Project: Object Oriented Programming
  31. Runtime Complexity
  32. Debugging
  33. jQuery
  34. AJAX
  35. APIs & JSON

Server-side Development && Agile Programming

  1. NodeJS
  2. ExpressJS
  3. Data Models
  4. .env & config
  5. Relational Databases
  6. SQL
  7. Database Migrations
  8. Intro to Scrum
  9. Eventonica Project
  10. MongoDB
  11. React
  12. Auth0
  13. Functional Programming
  14. Deploying to Heroku with React and Node
  15. Recursion
  16. Memoization
  17. Agile Project Management
  18. Refactoring
  19. Optimization

Data Structures & Algorithms

  1. Intro to Data Structures
  2. Sprint Plan for Data Structures & Algorithms Week
  3. Data Structures: Stacks
  4. Data Structures: Queues
  5. Data Structures: Deque
  6. Data Structures: Linked Lists
  7. Data Structures: Hash Tables
  8. Data Structures: Trees
  9. Intro to Algorithms
  10. Algorithms: Searching
  11. Algorithms: Sorting
  12. Data Visualization

Career Development && Final Project

  1. Navigating New Codebases
  2. Technical Interviewing
  3. Interviewing
  4. Open-source Projects
  5. Career Week: Machine Learning Engineer
  6. Career Week: Entrepreneurship
  7. Career Week: Data Science
  8. Career Week: Security
  9. Career Week: QA Engineer
  10. Career Week: Developer Advocate
  11. Career Week: Sales Engineering
  12. Career Week: Technical Program Manager
  13. Final Project: Selecting Your Final Project
  14. Final Project: 5 weeks
  15. Mobile Development
  16. Resources: Women in Tech
  17. Financial Literacy
  18. Negotiating
  19. Ethics in Software Engineering

Optional Resources:

Creative Commons Open-Source License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

CC BY-SA 4.0

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