GitHub Copilot & AI-Assisted Coding: Build, Test and Refactor Faster
Signature Course No. 307 — A Signature AI Socratic Coaching Course.
No experience needed — your coach starts where you are.
A New Kind of Learning
Socratic coaching, delivered by an agentic AI coach.
Not a course you watch. An AI coach you work with.
The Lighthouse Coach begins by discovering how you think about the subject, teaches what is missing, and gives you realistic practice before asking you to prove that you can use it. You may test out of concepts you already understand, while capstones turn the learning into a practical plan, decision, conversation, or other real-world result.
The curriculum is deliberately authored; the AI delivers it through coaching. It is not an AI randomly generating lessons.
A coach that teaches by asking — not by lecturing
The Lighthouse Coach is an AI Socratic coach built on Cognosco Learning's GitHub Copilot & AI-Assisted Coding: Build, Test and Refactor Faster course, in the AI at Work category. It does not play videos at you. It holds a conversation: it asks you a question, listens to your answer, names the misconception it hears, affirms what you got right, and asks the next question — the way a great coach works in the room.
Code you merge is code you own. It does not matter whether you typed it, pasted it, or accepted it from a suggestion that appeared while you were thinking about something else. Once it carries your name in the history, its correctness, its security, and its right to be in the repository are yours. This course teaches the opposite of “the assistant wrote it”: slow down at exactly the point where the tool makes it easiest to speed up, and put your judgment — visible, written, checkable — between the suggestion and the commit.
It starts with the machine. An AI coding assistant predicts code: given the text in front of it, it produces the continuation that best fits the patterns it learned — fluency, not belief, and no separate channel for checking whether the code is true for your system. You will learn to furnish the context before you ask, choose the surface by risk, write the ask as a contract, and review what comes back as if a stranger wrote it.
It works in two movements. First, Module 1 — Working With the Assistant, Day to Day — work through Concepts 1–9, finishing with The Build You Can Defend; then, Module 2 — Refactor, Protect, and Standardise — work through Concepts 10–18, finishing with The Handover Package.
Both capstones produce real artifacts — an AI-assisted build plan and review record for a real Quillmark Software feature, the waitlist offer that frees a cancelled slot for the longest-waiting eligible patient; and a refactor, security, and standards package for the reminders service Quillmark is about to hand to new maintainers: the guarded refactor plan, the vouched documentation, the written audits, and the signed handover.
The honesty standard is part of the course. GitHub Copilot is the named exemplar in this course, not the subject of a vendor credential: no vendor certification is claimed anywhere in it, and the completion certificate attests to this course's standard only. The product's features, mode names, menus, and settings change over time — what does not change quickly is the craft: giving the assistant the right context, asking in a way that can be checked, and refusing it when refusal is the right move.
The course is self-paced and always on — roughly 30 minutes per concept, about 9 hours in full, taken in as many sittings as you like. You can type your answers, or talk out loud: the Voice Coach speaks its questions and listens to your spoken replies. Learners who already know the material can test out concept by concept.
GitHub Copilot & AI-Assisted Coding: Build, Test and Refactor Faster is part of The Lighthouse Signature Series — the online counterpart to the one-day, in-person learning Cognosco Learning has delivered since 2002.
Course Facts
One full concept, coached end to end — free: verify your email and we’ll send you a link to start.
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Diagnose → Learn & Practice → Prove → Capstone
Every learner moves through the same discipline a Cognosco instructor would insist on in the room.
Diagnose
The Coach starts where the course starts: with the machine itself. Think of the last suggestion you accepted without changing a character and say what, exactly, you checked before you accepted it; name one rule in a codebase you work in that lives nowhere near the code it governs, and say how the assistant would ever know it; say what you currently treat the assistant's confident explanation as evidence of. Every concept opens with three questions that locate where you actually stand, and your answers shape how deeply the Coach works the concept with you. Everyone begins with Module 1 — no skipping the foundations you only think you have.
Learn & Practice
Work each concept in conversation with the Coach — spoken or written — then practice it against realistic situations until it holds up.
Prove
Every concept ends in proof: answer the check cold and demonstrate the skill. Know it already? Test out and take credit immediately.
Capstone
Finish with two capstones — The Build You Can Defend for Module 1 and The Handover Package for Module 2 — that pull the whole course together, and earn the certificate.
What You'll Learn
Furnish the room, write the ask, judge what comes back — in that order, every time. Every skill in this course is the same discipline wearing a different surface's clothes: put the right context in front of the assistant, specify the work so the result can be checked, and place your judgment — visible, written, checkable — between the suggestion and the commit.
Module 1 builds the day-to-day craft. What the Assistant Is — and Is Not; Context Is the Prompt; Inline Completion — Accept, Reject, Steer; Chat and Agent Modes — Ask, Edit, Act; Writing the Ask; Generating Tests; Reading AI Output; When Not to Accept; and Debugging With the Assistant — the moves you make every day, in the order you make them.
Module 2 makes the practice durable. Refactoring With AI; Explaining and Documenting Code; Security Review of AI Output; Licence and Provenance Risk; Repository Instructions and Configuration; Reviewing a Teammate's AI-Assisted Change; Measuring Whether It Helps; Team Standards and Shared Practice; and The Developer's Standard — changing code without changing what it does, protecting it at the boundary, and making the whole practice hold across a team.
And it counts speed honestly throughout. Speed is in the title, and speed is real — but only when it is counted from ask to merged and working. An hour saved generating code that costs three hours in review, debugging, and rework is not speed, and this course never lets a speed claim stand on lines generated or suggestions accepted.
What you will learn
- Explain what an AI coding assistant is doing, and set context so its output fits your codebase
- Choose between inline completion, chat, and file-editing modes — and steer each one
- Specify a coding task so the generated result can be checked against the ask
- Generate tests that assert real behavior, and interrogate tests the assistant writes
- Read and review AI output for correctness before you accept it
- Refactor with AI in small, behavior-preserving steps protected by tests
- Check AI output for security and license risk, and refuse what fails the check
- Write repository instructions and team standards that make the practice consistent, and measure honestly whether it helps
Everything in the course
- All 18 concepts of GitHub Copilot & AI-Assisted Coding: Build, Test and Refactor Faster, in 2 modules
- A starting-point check first — the Coach finds where you actually stand before teaching
- Learn, Practice, Prove for every concept — no passive video watching
- A test-out on every concept: prove you know it and move on
- The Voice Coach: talk with the Coach out loud — it speaks, listens, and replies
- A personal Learner Record of your work across the course
- Two capstone exercises: The Build You Can Defend and The Handover Package
- A printable session summary whenever you pause
- The Lighthouse Coach completion certificate (Signature Series)
- Your progress is saved as you go — stop anytime, resume where you left off
Built for developers who work beside the assistant
Working developers — who use an AI assistant now, or will next month, and want a method instead of a collection of habits picked up by accident; and senior developers and tech leads who review other people's AI-assisted code and set the standard a team works to.
Testers and quality engineers who code — who are asked to generate, extend, and judge tests, including tests the assistant wrote.
Founders and small-team builders — who carry every role at once and cannot afford a security or license mistake made at assistant speed. This course assumes you can write and read code in at least one language, use a version control system, and run a test suite; it assumes no prior method for working with an AI assistant.
Prefer to learn live and in person? The same material anchors Cognosco's one-day programs — browse the in-person catalog.
Start with What the Assistant Is — and Is Not
$195 — introductory price. One payment. No subscription, no password to manage.
Here is exactly what happens when you enroll:
- Pay securely with Stripe — you are taken straight into the course
- Create your learner profile and begin the Module 1 starting-point check
- Save the access key you are given — it restores your enrollment on any device
- Learn at your pace; your progress is stored in your browser on your device
For the full voice experience, use Chrome and allow the microphone when asked. Typing your answers works everywhere, all the time. Questions before you enroll? Email hello@cognoscolearning.com.
Before you enroll
What is a Socratic coaching session?
A conversation, not a video. Your coach asks a question; you answer — out loud by voice, or by typing — and the coach responds to what you said: naming the misconception it hears, affirming what you got right, and asking the next question. You advance only when you have mastered each concept, so a finished course means the learning held.
How long does it take — and how long do I have?
About 30 minutes per concept. Learn in sittings of any length; your progress is saved as you go. You have a full year from purchase to finish, and you can revisit and retake within that year.
What does the certificate verify?
That you completed every concept and both capstones of this course. Anyone can confirm a Cognosco certificate online — enter its certificate ID on our verification page.
What if it isn't for me — what are the refunds?
If you have not started, cancel for a full refund within seven days of purchase. Once you have started, there is no cash refund — stop before finishing and we credit the full amount you paid toward any other course in the library (credit valid one year from your original purchase). Once you complete the course, no refund or credit applies.
More Signature Courses are coming
GitHub Copilot & AI-Assisted Coding: Build, Test and Refactor Faster is Signature Course No. 307. Leave your email and we'll send you news of future Signature Courses and Lighthouse updates as they are announced — nothing else.