Training GitHub Copilot - Boost Expert Developer Productivity

$5,775

  • 5 days
  • Onsite
  • 10 people max.
Ref: FUT487
10 people max.
$5,775
In-company rate: from $10,395 for the whole team
On-site and certification exam on quote
5 days
Onsite

Don't let this gap widen

Why this program matters

  • Without expert mastery of GitHub Copilot, senior developers waste 55% of their time on routine coding, according to GitHub 2024 studies.

  • Teams without AI see productivity drop 40% against competitors, doubling development costs and project timelines.

  • 68% of recruiters reject candidates lacking generative AI skills, risking career obsolescence and millions lost in missed opportunities.

  • Every quarter without Copilot widens the fatal competitive gap in agile companies.

Allan BUSI, Learni trainer · AI expert
Allan BUSI

Learni trainer · AI expert

73%productivity gap
×3cost of inaction
Flag of the United StatesBuilt for US teams
Payment by wire transferEnhanced confidentialityPerfect for companies with 50 to 500 employeesScheduling to fit any time zone

Trusted by — schools, companies and industrial groups

25,806 programs · 25 countries

  • Aptar
  • ArcelorMittal
  • Equans
  • EDF
  • Ubisoft
  • Microsoft

Every program built with a dedicated engineer

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Companies: Aptar, ArcelorMittal, Equans, EDF, Ubisoft and Microsoft.

GitHub Copilot training objectives

  • Master GitHub Copilot to accelerate professional development
  • Develop advanced and customized prompts in a business context
  • Optimize code workflows with certifying generative AI
  • Implement Copilot-assisted code review strategies
  • Design scalable architectures boosted by the AI assistant
  • Manage security and ethics in expert use of Copilot
  • Deploy Copilot skills for measurable productivity gains

GitHub Copilot curriculum: 5 modules over 5 days

Module 1 : GitHub Copilot Configuration: Expert Setup and Advanced Prompts (VS Code, CLI, Extensions)

Advanced installation and configuration of GitHub Copilot in VS Code and multiple environments, customization of AI models for business projects, creation of powerful contextual prompts with dynamic variables, practical exercises on refactoring legacy code, comparative analysis before/after Copilot to measure immediate gains, production of a reusable certified high-performance prompt template.

Module 2 : GitHub Copilot in Development: Complex Code Generation (Tests, APIs, Optimized Algorithms)

Automated generation of expert code for REST/GraphQL APIs and performant algorithms, native integration of unit and e2e tests with Copilot, exercises on real business cases such as monolith to microservices migration, advanced debugging assisted by contextual AI suggestions, creation of custom snippets for recurring boilerplate, delivery of a complete Copilot-boosted API module with productivity metrics.

Module 3 : GitHub Copilot Workflows: CI/CD and Team Collaboration (GitHub Actions, Pull Requests)

Integration of GitHub Copilot into CI/CD pipelines via GitHub Actions and automated suggestions, optimization of Pull Requests with AI-enriched code reviews, collaborative workshops on complex remote team merges, Copilot customization for company coding standards, simulation of AI-accelerated Agile sprints, production of a deployable CI/CD workflow with measured performance reports.

Module 4 : Advanced GitHub Copilot: Security, Ethics, and Fine-Tuning (Vulnerabilities, AI Bias)

Analysis and mitigation of Copilot-generated vulnerabilities with integrated SAST/DAST scans, ethical management of AI suggestions in sensitive contexts, exercises on detecting bias and code hallucinations, fine-tuning Copilot models for specific business domains, practical cases on GDPR/SOC2 compliance, delivery of a secure Copilot framework with full audit and documented best practices.

Module 5 : Expert GitHub Copilot Projects: Real Cases and Optimization (Scalability, Measured ROI)

Development of a complex red thread project such as an AI-infused full-stack app, global performance optimization with Copilot in a feedback loop, ROI measurement via time and code quality metrics, workshops on production scaling with monitoring, final peer and expert trainer review, production of a certifying project portfolio with productivity gains report for company CV.

How GitHub Copilot skills are assessed

  • Expert quiz on Copilot prompts and security
  • Evaluation of practical projects with AI code review
  • Defense of the red thread project and personal ROI measurement

How the GitHub Copilot course is taught

  • Courses by an active GitHub Copilot expert trainer
  • Practical exercises on real business cases and datasets
  • Red thread GitHub Copilot project over 5 days
  • Full course materials and prompt templates provided

GitHub Copilot training: access and practical arrangements

The Training GitHub Copilot - Boost Expert Developer Productivity program is delivered onsite or remote (blended-learning, virtual classroom, remote presence). At Learni, an industry-certified training organization, every program is built to maximize skills acquisition regardless of the chosen format.

The trainer alternates between demonstrative, interrogative and active methods (through hands-on labs and/or scenarios). This pedagogical approach guarantees concrete learning that's immediately applicable at work.

Equipment required

For the smooth delivery of the Training GitHub Copilot - Boost Expert Developer Productivity program, the following equipment is required:

  • Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, projector or interactive touch screen (for remote sessions)
  • Training environments installed on workstations or accessible online
  • Course materials, hands-on exercises and complementary resources
  • Post-training access to materials and educational resources

For intra-company training on a site outside Learni, the client commits to providing all required teaching materials (computers, internet, etc.) for the smooth delivery of the program in line with the prerequisites in the communicated program.

* contact us for remote delivery feasibility** ratio varies depending on the program

Skills assessment methods

Assessment of skills acquired during the Training GitHub Copilot - Boost Expert Developer Productivity program is performed through:

  • During training: case studies, hands-on labs and professional scenarios
  • End of training: self-assessment questionnaire and skills evaluation by the trainer
  • After training: completion certificate detailing acquired skills

Program accessibility

Learni is committed to making its programs accessible. All our programs are accessible to people with disabilities. Our teams are available to adapt the pedagogical methods to your specific needs. Please contact us for any adjustment request.

Enrollment terms and lead times

Registration is possible up to 48 business hours before the start of training. All our programs are built for corporate L&D budgets and delivered onsite or remotely.

The Learni story

Founded by engineers and learning experts, Learni's mission is to make high-impact tech training accessible to teams everywhere. We work remotely with organizations across the US and Canada, in your time zone, to help teams upskill fast.

Our method

How Learni guarantees the quality of your GitHub Copilot training

Before, during, after: we frame the brief, introduce the trainer, tailor the content and measure impact. You stay in control from kickoff to wrap-up.

Step 1

Rigorous trainer selection

Each trainer is validated on three criteria: hands-on field expertise, proven pedagogy and alignment with your industry.

  • Triple validation: technical, pedagogical, sectoral.
  • Minimum rating 4.8/5 over the last 12 sessions.
Step 2

You meet the trainer beforehand

30-minute video call between you and the selected trainer to validate the fit, adjust content and clear any final doubts.

  • Live briefing on goals and team context.
  • Veto right — we swap the trainer for free if needed.
Step 3

Content tailored to your context

No recycled slides. The syllabus is reworked from your real cases: tools, constraints, vocabulary, ongoing projects.

  • Hands-on cases drawn from your stack and projects.
  • Program co-written then validated by your team.
Step 4

Continuous quality follow-up

Live evaluations, 30/90/180-day check-ins and a consolidation plan. If the impact misses the mark, we rework it.

  • NPS, knowledge quizzes and skills self-assessment.
  • Satisfaction guarantee: fully satisfied or free rework.

A simple promise: you don't pay to discover the trainer on day one. Everything is validated upfront, by you.

A child walking to school with a backpack
Our social commitment

A school kit donated to a child for every training booked

To fight inequalities in access to education, Learni donates a complete school kit to a child in need for every training booked. You build your skills, a child heads back to school.

  • Backpack, notebooks and essential supplies
  • Distributed through our partner charities
  • Included, at no extra cost to you
Enroll and offer a kit
FAQ

GitHub Copilot: frequently asked questions

Which tools are used in GitHub Copilot training?+
Hands-on work runs on VS Code, CLI, extensions, tests, APIs and optimized Algorithms. Those tools come from the GitHub Copilot program itself, delivered on site over 5 days, so participants practise on the stack they will use at work.
What can participants do after GitHub Copilot training?+
They can master GitHub Copilot to accelerate professional development, develop advanced and customized prompts in a business context and optimize code workflows with certifying generative AI. Those are the stated objectives of the GitHub Copilot program at Expert level, checked by the end-of-session assessment.
What does the GitHub Copilot program cover, day by day?+
Day 1: GitHub Copilot Configuration: Expert Setup and Advanced Prompts (VS Code, CLI, Extensions). Day 2: GitHub Copilot in Development: Complex Code Generation (Tests, APIs, Optimized Algorithms). Day 3: GitHub Copilot Workflows: CI/CD and Team Collaboration (GitHub Actions, Pull Requests). Day 4: Advanced GitHub Copilot: Security, Ethics, and Fine-Tuning (Vulnerabilities, AI Bias). Day 5: Expert GitHub Copilot Projects: Real Cases and Optimization (Scalability, Measured ROI). The GitHub Copilot program runs over 5 days, delivered on site.
How is GitHub Copilot training assessed?+
Assessment relies on expert quiz on Copilot prompts and security, evaluation of practical projects with AI code review and defense of the red thread project and personal ROI measurement. Learni issues a completion certificate together with the individual assessment report at the end of the GitHub Copilot program, which an L&D team can file as evidence.
How much does GitHub Copilot training cost per participant?+
GitHub Copilot training costs $5,775 per participant. For an in-company team, the flat rate starts at $10,395 for the whole group, up to 8 people. The detailed quote, sent within one business day, adjusts the amount to the format and how far the syllabus is tailored to your team.
How long does GitHub Copilot training take?+
5 days, available live online (US time zones) or on-site at your offices. Half-day tracks spread over several weeks are possible so the team stays operational.
Who pays for GitHub Copilot training?+
Most US teams pay directly through their company L&D or training budget. Learni invoices in US dollars and accepts bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
What do participants need to know before GitHub Copilot training?+
Advanced mastery of a language (Python, JS, Java), 5 years of development experience, expert use of Git and VS Code.
Is a certificate issued after GitHub Copilot training?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report. Learni is a certified training provider and prepares for third-party certifications, but does not award them itself.
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