Basic programming experience and access to a computer are helpful. Work in a disposable practice project when trying commands or automation. Software versions and AI tools may differ from those shown in the recordings.
Optional preparation: Gemini for Application Developers: Free Google Coding Instruction.
About this course
Build a more capable development workflow with the tools that sit around your code. This free MIT Missing Semester course brings together nine lectures on the shell, development environments, debugging, Git, packaging, agentic coding, professional collaboration and code quality. It focuses on practical engineering habits rather than teaching a first programming language.
Course at a glance
| Provider / Teaching team | MIT |
|---|---|
| Platform | YouTube · Missing Semester |
| Access | Free Video |
| Level | Intermediate |
| Language | English |
| Videos | 9 |
| Video duration | 10h 2m · allow extra time for practice |
| Format | Self-paced recorded training |
| Certificate | Not included with video viewing |
What you’ll learn
- Use the shell and command-line environment to navigate a project and combine tools for useful development tasks.
- Connect editor and environment choices with debugging, profiling and a clearer understanding of program behaviour.
- Use Git and packaging concepts to make changes traceable and software easier to reproduce and deliver.
- Evaluate AI-assisted coding alongside testing, code quality and the professional skills required to work on software.
Skills you’ll gain
- Command-line fluency
- Development environments
- Debugging and profiling
- Git workflows
- Software packaging
- Code review
Course Overview
The course moves from working at the command line to organising and shipping software. The opening lectures establish how to use a shell and configure a useful development environment. Debugging and profiling then connect observed behaviour with evidence, while Git introduces a disciplined way to track changes. Later sessions address packaging, AI-assisted development, work beyond the code and quality. The recordings are the completed 2026 teaching sequence. Treat tools as parts of a repeatable workflow: understand what a command does, inspect its result and preserve enough context to explain your choices.
How to study the course
- Follow Lectures 1–3 to strengthen your everyday interaction with a computer. Keep a small record of commands and environment choices that solve a real development problem.
- Use Lectures 4–6 to connect investigation, change tracking and delivery. A working program is more useful when someone else can reproduce it.
- Finish with the agentic coding, professional practice and quality sessions. Review generated output with the same care you apply to code you write yourself.
Use the searchable classroom lesson list to revisit a specific explanation. Pause after a useful demonstration, reproduce a small example and explain the result in your own words. Keep a short note of what worked, what changed and what you still need to understand before moving on.
Who is this for?
This course suits programming students, self-taught developers and engineers who can write code but want more confidence with their tools. It is especially useful when repetitive manual work or environment problems interrupt progress.
Before you start
Basic programming experience and access to a computer are helpful. Work in a disposable practice project when trying commands or automation. Software versions and AI tools may differ from those shown in the recordings.
Put the lessons into practice
Create a small command-line project and keep it under Git. Record the environment needed to run it, add a simple test and introduce one deliberate fault. Use a debugging or profiling technique to investigate the fault before correcting it. Package or document the project so another person could reproduce the result. If you use a coding assistant, review the change, run the test and explain the implementation in your own words. Finish with a short note on which tool improved the workflow and which assumption still needs checking.
This optional activity is provided by WikiFree for independent practice. It is not a graded assignment from the instructor. Keep your working notes, check the result against the task you defined and return to the relevant lesson when an assumption or technique is unclear.
Certificate / Assessment
Watching the public videos and using WikiFree progress tracking does not award a certificate, exam voucher, academic credit or instructor assessment.
Use your practice output to review what you can now explain and repeat independently. Completion tracking records your study progress; it does not replace an assessed qualification or professional experience.
Use this course in a learning path
- Free Bash Workflow Automation Learning PathCourse resource in this path
Related courses for your next step
- Review a lower-level optionGemini for Application Developers: Free Google Coding Instruction
Focus: AI-assisted development literacy · Code explanation prompting
Beginner - Compare another approachFree AI Coding Course: Agents, Code Reviews and Quality
Focus: AI-assisted development · Specification writing
Intermediate - Review a lower-level optionFree Git and GitHub Course by Google
Focus: Understand repositories, commits, and change history · Explore collaboration through GitHub workflows
Beginner
Compare course focus, level and study time
| Course | Level | Focus | Study time |
|---|---|---|---|
| This course — The Missing Semester: Free Developer Tools Course | Intermediate | Command-line fluency · Development environments · Debugging and profiling | 10h 2m of video; practice time is additional |
| Gemini for Application Developers: Free Google Coding Instruction | Beginner | AI-assisted development literacy · Code explanation prompting · Cloud Code awareness | 1 hour 30 minutes; provider full-course estimate including practical activities; instruction-only study time may differ. |
| Free AI Coding Course: Agents, Code Reviews and Quality | Intermediate | AI-assisted development · Specification writing · Code review | 3h 38m of video; practice time is additional |
| Free Git and GitHub Course by Google | Beginner | Understand repositories, commits, and change history · Explore collaboration through GitHub workflows · Recognize branching and more advanced Git operations | 4h 2m of video; practice time is additional |
Frequently asked questions
Is this course free to watch?
Yes. The public video lessons can be viewed in the WikiFree classroom. Free viewing does not include paid software, service subscriptions, provider membership benefits or a credential.
How long does the course take?
The 9 source videos total approximately 10h 2m. Allow additional time for pausing, practice, reviewing an example and checking your own result.
What background do I need?
Basic programming experience and access to a computer are helpful. Work in a disposable practice project when trying commands or automation. Software versions and AI tools may differ from those shown in the recordings.
Does watching the course award a certificate?
No. Video viewing and WikiFree progress tracking do not award a certificate, credit or an exam voucher.
Can I study on a phone?
Yes. The classroom has a responsive player and searchable lesson list. A larger screen and suitable practice environment are helpful for following software demonstrations or technical examples.
Provider: MIT. Videos play from the Missing Semester channel on YouTube.
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