AI-Assisted Software Engineering with GitHub Copilot Corporate Training
Ship software faster with GitHub Copilot, verified the way your team trusts.
This instructor-led program gives development teams practical methods for building software with GitHub Copilot, from setup and prompting to Copilot Chat, test generation, custom instructions, and the review guardrails that keep AI-written code trustworthy. Every technique is validated through hands-on labs.
Instructor-led group trainingVirtual / on-site / off-site10 languagesDelivered inEnglish, Spanish, Mandarin, German, Arabic, Portuguese, Hindi, French, Japanese, Italian100+ countriesWe have delivered inUnited States, United Kingdom, India, Canada, Germany, France, Netherlands, UAE, Saudi Arabia, Singapore, Australia, Japan, Brazil, South Africa and 90+ more countries
How we build a Copilot-fluent team
The Edstellar AI-ASSISTED SOFTWARE ENGINEERING WITH GITHUB COPILOT Capability Model
Diagnose delivery bottlenecks
We review your coding workflows, review queues, and release speed to find where Copilot pays off fastest.
Standardize Copilot workflows
Your team learns one shared set of prompting patterns, custom instructions, and verification gates for Copilot-assisted code.
Practice in guided labs
Developers build real features with Copilot in hands-on labs, coached on prompts, Copilot Chat, and guardrails.
Measure delivery outcomes
You track cycle time, review quality, and defect rates to prove Copilot is accelerating delivery without breaking it.
Scale what works
Winning prompts and instruction files become team playbooks and repository standards your whole organization can adopt.
Need more than one program?Get a group quote
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Program Overview: What is AI-Assisted Software Engineering with GitHub Copilot?
AI-Assisted Software Engineering with GitHub Copilot is a 24-hour hands-on program for developers, tech leads, and engineering teams adopting AI pair programming. It covers Copilot setup and context, prompting for inline suggestions, Copilot Chat for refactoring, test generation and debugging, custom instructions, and guardrails for securing AI-written code. Participants master the full workflow, from first install to a shipped capstone feature.
Training is instructor-led and built around guided labs across seven modules. Developers configure Copilot in their IDEs, craft prompts that steer completions, refactor legacy code with Copilot Chat, generate trustworthy tests, and write repository-level instructions that enforce team standards. Instructors coach participants through common failure modes, from over-trust in suggestions to insecure patterns. The program closes with a four-hour capstone where each participant builds and ships a production-ready feature using the full Copilot workflow.
Teams that adopt Copilot without discipline get uneven results: inconsistent code quality, untested suggestions, and unreviewed security holes. This program teaches developers to prompt with intent, verify suggestions against checklists, and enforce review gates and pre-commit hooks. The result is real velocity gains without trading away quality or security.
Each developer ships a production-ready feature through the full Copilot workflow, setup, prompting, verification, governance, with review evidence. AI pair programming becomes a managed practice instead of a personal habit.
Over 24 instructor-led hours, participants move from Copilot fundamentals to a complete capstone feature. They write prompts that produce clean code, use Copilot Chat to explain, fix, and refactor, generate tests with Copilot, write custom instructions for their repos, and build review guardrails that catch AI mistakes. Every lab mirrors real development work, so teams leave with workflows they can use on their own codebases immediately.
What's Included in this Workshop for Your Enterprise Teams
- 1
Foundations
Understand how GitHub Copilot works and configure it for your IDE and repositories.
- 2
Prompts
Write prompts that produce clean, tested, maintainable Copilot suggestions.
- 3
Copilot Chat
Use chat to explain, fix, refactor, and document code across your repos.
- 4
Tests
Generate unit tests and debug failing builds with Copilot assistance.
- 5
Policies
Write custom instructions and enforce team-wide Copilot policies.
- 6
Capstone
Ship a production-ready feature with Copilot, reviewed and tested.
- Instructor-led delivery across virtual, onsite, and hybrid formats
- 24 hours of guided instruction with hands-on labs in every module
- Course materials, prompt libraries, and Copilot instruction templates included
- Trainers with real GitHub Copilot experience in production teams
- Cohort scheduling aligned to your team's availability and time zones
- Post-program support resources for applying workflows to live projects
Build your team's skills. Anywhere in the world.
Real-world use cases
from day one
Instructor-led training
for your teams
Delivered globally
in 100+ countries
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AI-Assisted Software Engineering with GitHub Copilot Course Topics and Program Outline
Seven modules take your team from Copilot fundamentals to a complete capstone: setup, prompting, Copilot Chat, test generation, custom instructions, and verification guardrails.
Built by Edstellar with GitHub Copilot delivery specialists
Built by engineers who ship production software with GitHub Copilot every day, shaped around your stack and use cases.
We review your coding workflows, review queues, and delivery speed to find where GitHub Copilot pays off fastest.
Your team learns how Copilot works, prompt patterns for clean completions, and the setup that fits your repositories.
Developers use Copilot Chat to refactor, generate tests, and debug in guided labs, coached on verification discipline.
Teams write custom instructions, enforce Copilot policies, and ship a production-ready capstone feature with full evidence.
Outcome: a production-ready feature built with GitHub Copilot, with tests, reviews, and workflow evidence.
Delivered as
Delivered as 24 instructor-led hours with a guided lab in every module and a capstone feature your team builds, tests, and presents.
Install Copilot in your IDE, review data and privacy settings, and audit one repository for Copilot readiness.
learna)How Copilot predicts code: models, context, and completions
b)Installing and configuring Copilot in VS Code and JetBrains IDEs
c)Context windows, neighboring tabs, and what Copilot sees
d)Data retention, privacy settings, and enterprise controls
Build a small utility from prompt comments alone, refining completions until the code passes your checks.
learna)Comments as prompts: naming intent so Copilot follows it
b)Accepting, editing, and cycling through completions
c)Context crafting: open files and snippets that guide suggestions
d)Keyboard workflows for speed without breaking flow
Refactor a legacy module using Copilot Chat, then document the changes it produced.
practicea)Chat commands: explain, fix, doc, and refactor
b)Inline chat for surgical edits inside open files
c)Refactoring legacy code with chat assistance
d)Generating documentation and change summaries
Generate a test suite for an untested module, then fix the failures Copilot cannot resolve on its own.
practicea)Generating unit tests from existing code with Copilot
b)Edge cases and assertion quality in AI-written tests
c)Debugging failing tests with Copilot suggestions
d)Keeping test suites trustworthy as code evolves
Author a custom instructions file for your repo and verify Copilot follows your coding standards.
applya)Writing .github/copilot-instructions.md that Copilot follows
b)Prompt files and reusable instructions for teams
c)Content exclusions and sensitive-file protection
d)Enterprise policies: rollout, access, and compliance controls
Review a Copilot-generated pull request against a security checklist and harden the risky parts.
practicea)Review checklists for Copilot-generated changes
b)Common insecure patterns in AI-written code
c)Secrets, credentials, and license compliance
d)Guardrails: pre-commit hooks, linters, and review gates
Ship a reviewed, tested feature built with Copilot and present the workflow evidence to your cohort.
applya)Capstone brief: feature scope and acceptance criteria
b)Build with Copilot: prompts, chat, and custom instructions
c)Tests, reviews, and guardrails on every change
d)Demo and delivery retrospective
Customize this program tailored to your team?
Tell us your training needs: what your team already works with, the level they’re at, and the topics you want them to focus on. We’ll adjust the modules, duration and hands-on labs, and send you a customized outline for your group.
Key Skills and Outcomes Your Team Will Gain
Every participant leaves with GitHub Copilot workflows they can use on their own codebases the week after the program.
Configure Copilot for your stack
Set up Copilot in your IDE with privacy controls and repository policies.
Prompt for clean completions
Write prompts that produce tested, maintainable code on the first pass.
Drive Copilot Chat effectively
Explain, refactor, document, and fix code with chat assistance.
Generate trustworthy tests
Produce unit tests with Copilot and verify they cover real edge cases.
Write custom instructions
Codify team standards in instruction files Copilot actually follows.
Review AI-written code
Catch insecure patterns and license risks before they ship.
Ship Copilot-assisted features
Deliver production features with Copilot, backed by tests and review evidence.
Teams that Benefit from this AI-Assisted Software Engineering with GitHub Copilot Group Training
This program is built for software developers, tech leads, and engineering managers adopting GitHub Copilot. Content adapts to each cohort's stack and maturity, so every group practices the coding workflows it actually owns.
Write code faster with Copilot guardrails
Developers learn to prompt, pair, and verify with Copilot across the features they build every day.
Workflow friction
- Slow boilerplate and routine coding
- Inconsistent Copilot usage habits
- AI output nobody verifies
How the program helps
- Faster feature delivery with Copilot
- Prompts tuned to your codebase
- Review habits that catch AI mistakes
Practice use cases
- Feature development
- Prompt libraries
- Copilot code review
- Rapid prototyping
Standardize Copilot across repositories
Platform teams learn custom instructions, policies, and guardrails that make Copilot safe at scale.
Workflow friction
- Copilot sprawl without standards
- Secrets leaking into AI prompts
- Inconsistent configuration
How the program helps
- Shared Copilot instruction standards
- Policy enforcement at repository level
- Safer AI usage across teams
Practice use cases
- Instruction templates
- Policy rollout
- Repo governance
Verify AI-written code before release
QA engineers learn to generate tests with Copilot and validate the tests AI produces.
Workflow friction
- Tests nobody wrote by hand
- Edge cases AI misses
- Flaky generated tests
How the program helps
- AI-generated test coverage
- Faster regression feedback
- Coverage of AI blind spots
Practice use cases
- Unit test generation
- Test review
- Regression suites
Prove Copilot moves delivery metrics
Leads learn to measure Copilot adoption, track delivery impact, and scale what works.
Workflow friction
- Unclear Copilot ROI
- Uneven team adoption
- Quality slipping with speed
How the program helps
- Delivery metrics that prove impact
- Adoption playbooks for teams
- Safer enterprise rollout
Practice use cases
- Adoption metrics
- Team playbooks
- Rollout planning
Every cohort blends methods with the coding workflows your teams own, so practice time maps directly to your products.
Prerequisites: This program suits software developers, tech leads, QA engineers, and engineering managers. No prior AI experience is needed; everyday coding fluency is enough. Teams with active codebases and Copilot access get the fastest payoff by practicing on their own repos. The program adapts examples, labs, and the capstone brief to each cohort's stack and workflow.
Developer to Copilot-fluent delivery owner
Teams start with Copilot setup and prompting, then use Copilot Chat and test generation through guided labs, finishing with custom policies and a capstone feature shipped with full evidence.
One program that grows with engineering careers, from Copilot basics to confident AI-assisted delivery ownership.
Mixed cohort, or several teams at once?
We can tailor the training to different teams, roles, and experience levels within the same program.
Certificate of Training Completion.
On successful completion, employees receive an Edstellar course completion certificate, recognizing their commitment to ongoing learning and professional development. It validates the skills they have built and motivates them to keep growing and contribute to organizational success.
Earned, not attended. Awarded on completion of all hands-on labs and the capstone project.
Training Delivery Modes: Virtual, Onsite and Hybrid
Choose the format that fits your team: live virtual for distributed developers, onsite at your office for intensive cohorts, or hybrid combining both.
Hybrid Training
A blended schedule with virtual sessions and onsite lab days. Your team gets remote flexibility plus in-person collaboration for Copilot labs and the capstone feature.
- Flexible mix of virtual and onsite sessions
- Onsite lab days for Copilot practice
- Cohorts across locations in one program
- Schedule shaped around sprint cadence
Onsite Training
The full 24 hours delivered at your location. Whiteboard design sessions and face-to-face capstone demos make this the most immersive way to learn GitHub Copilot.
- Immersive full-day or multi-day cohorts
- Hands-on labs with your codebase
- Capstone demos to your stakeholders
- No travel cost for your team
Live Virtual Training
Live virtual sessions with breakout labs using GitHub Copilot in your IDE. Teams practice prompting, Copilot Chat, and guardrails in real time with instructor coaching.
- Live instructor sessions with breakout labs
- Labs using your Copilot toolset
- Session recordings for review
- Ideal for distributed engineering teams
Need a training format that works for your team?
Full days, half days across weeks, or split by module. Tell us the delivery window and we schedule the cohort around it.
Frequently Asked Questions
Share your team size and preferred format through the quote form. We respond with pricing and scheduling options within one business day.
Yes, a short call with an advisor maps your stack, team size, and goals to the right program shape.
Yes, instructor-led live virtual delivery with breakout labs runs in your time zones.
Yes, onsite cohorts are available for intensive multi-day delivery with your own tooling.
24 instructor-led hours across seven modules, ending with a capstone feature build.
Question not answered here?
Put it in the request. A training specialist answers it directly, within one business day.
Where this Training Fits in Your Team's learning path.
GitHub Copilot works inside the GitHub workflow your team already uses. Developers learn Git and GitHub first, then use Copilot for code, tests and reviews, learn to secure AI-generated code, and move on to agentic tools that complete larger tasks.
Why Choose Edstellar as Your Corporate Training Provider for AI-Assisted Software Engineering with GitHub Copilot Course
Edstellar delivers AI-Assisted Software Engineering with GitHub Copilot as hands-on, instructor-led training for development teams. Labs mirror real Copilot work, the capstone produces a feature your organization can ship.
EXPERT TRAINERS
YEARS DELIVERING
ORGANIZATIONS TRAINED
CERTIFIED
Tailored
Labs and the capstone brief are built around your codebases and Copilot setup, so practice maps to the coding work your teams own.
Proven Methodology
A structured sequence from Copilot setup to custom policies, refined with working development teams.
Practice-Based Learning
Every module runs a guided lab with Copilot in your IDE, so skills form through real feature work.
Expert Trainers
Trainers ship with GitHub Copilot daily and coach your teams on prompts, policies, and verification.
Global Scale
Cohorts run across your time zones with consistent materials, labs, and instructor quality.
Measurable Outcomes
You track delivery speed, review quality, and adoption from the first cohort onward.
Build Copilot-Assisted Features With Repository Standards and Trustworthy Tests
Edstellar helps developers connect GitHub Copilot assistance with their team’s coding and review practices. Participants configure the tool, refine completions, use chat for refactoring, and evaluate generated tests. A complete feature exercise brings custom instructions and security checks together, with evidence showing how the team verified the resulting code.
- Step 01
Consult
We review repository practices and coding needs to identify priorities in Copilot setup, prompt comments, chat-assisted refactoring, generated tests, and coding-standard enforcement.
- Step 02
Plan
We connect Copilot configuration and inline prompting with chat, testing, repository instructions, and security review before completing an integrated feature build.
- Step 03
Align
We align instruction with coding fluency and IDE workflows, confirming tool access while making privacy choices, repository readiness, and developer review responsibilities explicit.
- Step 04
Customize
We tailor utility functions, legacy modules, and untested code to familiar repositories while retaining custom-instruction checks and deliberate review of security-sensitive changes.
- Step 05
Execute
Participants refine completions, refactor with chat, and repair generated tests, receiving feedback on standards adherence, missing cases, and failures the assistant cannot resolve independently.
- Step 06
Evaluate
We assess the feature for correct implementation, meaningful test coverage, adherence to repository instructions, and documented review of AI-written code and security findings.
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→Managed training services
Training outsourcing, vendor management, logistics and administration.
→Coaching solutions
Executive and manager coaching that keeps skills in use.
Start an RFP shaped to your needs.
Answer three quick questions about team size, scope, and how often you need the program run, then send the request from the last step. Everything you choose travels with it, so you only fill this in once.
How many team members need training?
AI-Assisted Software Engineering with GitHub Copilot Training Packages & Pricing
Where L&D holds an annual budget, license packages price the whole year at once instead of raising a purchase order per workshop. Hours and licenses are pooled across teams, programs and locations, so unused capacity is not stranded in one department.
Starter
120
trainee licenses64 hours of group training
Tailored for SMBs
Growth
320
trainee licenses160 hours of group training
Ideal for growing SMBs
Enterprise
800
trainee licenses400 hours of group training
Designed for large corporations
Custom
Unlimited
trainee licensesDuration set by the rollout
Multi-region and multi-year
Training Packages & Pricing
Choose the training format that works for your team. Pricing is customized based on your requirements, cohort size, and delivery needs.
Request AI-Assisted Software Engineering with GitHub Copilot Training for Your Team
Tell us about your development teams and GitHub Copilot setup. We will tailor the labs and capstone brief to your stack and workflows.