Final-year students
Placement season is close and your resume still has no project on it.
Finish with three pieces of work you can demo in an interview.
AI Agents
GitHub Copilot Mastery — AI Pair Programming That Ships
Use an AI coding assistant the way a working developer does — as a reviewer, an explainer and a first-draft machine — without ever shipping code you cannot defend.
- 5 weeksEstimated time
- 4Modules
- 15Lessons
- 3Projects
- YesCertificate
- FreePrice
No credit card. No sign-up required to preview. See the full syllabus
Who this course is for
Three people take this course. The work is the same; the reason is different.
Fresh graduates
You have the degree, but the job ads ask for proof of skill.
Build a portfolio before the next hiring round, not after it.
Career switchers
You are experienced elsewhere, new to this field, and starting from zero.
Learn the vocabulary and ship one published project that proves the switch.
Proof, not notes
What you will build
Every module ends in something finished. These are the pieces you leave with.
Take a small project
a script, a small app, a data tool — and take it all the way: issues, a branch, tests, a pull request reviewed by the tool, and a merge. The process is the project.
Skills used AI Agents · COPILOT · GIT
Portfolio project
A test suite for
function you wrote by hand
Skills used AI Agents · COPILOT · GIT
Portfolio project
A tool that posts
AI summary of a diff as a pull-request comment
Skills used AI Agents · COPILOT · GIT
Portfolio project
The brief
Your final project
A tool that posts
AI summary of a diff as a pull-request comment
- Write down, in one sentence, what the finished thing does and who it is for.
- Build it with the tools this course taught. A borrowed project cannot be explained in an interview.
- Run it from a clean start on another machine, and fix whatever breaks.
- Publish it, and put the link at the top of your resume's project section.
What changes
What you will be able to do
Not definitions to recite — tasks you can open a laptop and complete.
Roles this supports Junior software developer and internship roles · QA and automation roles where tests are the deliverable · Data and platform roles inside a development team
- Use completions, inline chat and the side panel without leaving the editor
- Get a code review on your own change before a human sees it
- Write a test file for a function you just wrote
- Explain code you did not write, line by line, in your own words
- Recognise the classic generated-code mistakes at the boundary conditions
- Take a small project through branches, tests and a merged pull request
The syllabus
Course curriculum
4 modules · 15 lessons. Open a module to see its outcome and lesson titles.
Module 1 Foundations — what GitHub Copilot is Meet the tool, get an account, and learn the screen before you learn the prompting.
- 01 Meet GitHub Copilot — what it is and who makes it Free preview
- 02 Signing in: what is free, what is paid, and what you actually need
- 03 The screen: where every control lives
Deliverable 3 practice tasks, one per lesson
Module 2 Prompting — getting a real answer How GitHub Copilot reads text, the four-part prompt, your own work, and what to do when the answer is wrong.
- 04 How GitHub Copilot reads what you type
- 05 The four-part prompt: role, task, context, format
- 06 GitHub Copilot for the work you actually have
- 07 When the answer is wrong: iterate instead of restarting
Deliverable 4 practice tasks, one per lesson
Module 3 Files, tools and your own data Documents and tables, Pull-request review, inline chat and the test-first loop, the API, and one boring task automated.
- 08 Files, tables and long documents
- 09 Pull-request review, inline chat and the test-first loop — GitHub Copilot's own feature
- 10 The Copilot API and the models behind it and your first script
- 11 Automate one boring task with GitHub Copilot
Deliverable 4 practice tasks, one per lesson
Module 4 Career, projects and honesty A finished portfolio project, the privacy rules, the limits, and the GitHub certification paths.
- 12 Build the portfolio project: one reviewed, tested, merged project on GitHub
- 13 Ethics, privacy and what never to paste
- 14 Limits, hallucinations and how to check
- 15 Get certified: the official GitHub paths
Deliverable 4 practice tasks, one per lesson
Lesson explanations, worked examples and practice tasks are in the learning player, not on this page — so you can read the syllabus without scrolling through the whole course.
How the course works
Every lesson follows the same four steps. No passive video playlists.
- 1
Learn the concept
A short explanation in plain English, with the one idea the lesson depends on.
- 2
See a worked example
The same task done end to end, with the reasoning behind each step.
- 3
Complete the practice task
You write it yourself. The task is the lesson; the reading is only the setup.
- 4
Build and publish a project
Each module ends in work you can open, explain and attach to an application.
Way2Fresher Academy
Courses written for the fresher hiring market — not translated from a bootcamp built for another country.
- Plain English Every explanation is written to be read once, slowly, by someone new to the field.
- Project-first A practice task in every lesson and a project at the end of every module.
- No paywall The full syllabus, all lessons and the certificate are free. Nothing is held back for a paid tier.
3Portfolio projects
15Lessons
The work is the proof
A fresher interview cannot assess a certificate. It can assess a project you can open, explain and change on the spot — which is why every course here ends in one.
- A finished project brief with an evaluation checklist
- A shareable repository, dashboard or case study
- A certificate that records the work, once every lesson is done
Frequently asked questions
The answers that decide whether this is the right six weeks.
Will this make me a worse programmer?
Only if you accept code you cannot explain. The rule that protects you is simple: if you cannot describe what a line does, delete it and write it yourself.
Do I need to be good at coding already?
You need the basics — variables, functions, loops, one language. This is a course about working with a tool, not a first programming course; the Python and Java courses on this site come first.
Is the free student plan enough?
Yes, and it is generous. Verify your student status first; it is the highest-value five minutes in this course.
What will I have at the end of this course?
Three things: one reviewed, tested, merged project on GitHub, a saved set of prompts you wrote and tested on your own work, and a Way2Fresher certificate naming the course. GitHub also publishes its own learning material for the tools it makes, and the rail on this course page links to it.
Do I need coding experience?
No. This course is written for intermediate learners and every lesson starts from the tool itself. If you can use a browser and a file, you can start lesson one today.
How long will it take?
About 5 weeks. The course holds 15 lessons, each built around one practice task, so the calendar depends on how many sessions you can keep each week.
Will I get a certificate?
Yes. Finish every lesson while signed in and a certificate with your name, the course, the date and the skills covered unlocks on this site. It is a record of work completed here, not an accredited qualification.
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GitHub Copilot Mastery — AI Pair Programming That Ships
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