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.
Learning 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
The Learni story
Founded by passionate learning and innovation experts, Learni's mission is to make professional training accessible to everyone, anywhere in the world. Our team operates in major hubs — London, New York, Boston — and internationally, to support talents and organizations in upskilling.
Don't let this gap widen
Why this program matters
Without this upskilling, your team accumulates a technological gap that translates directly into productivity loss.
Organizations that don't train their talents on key topics see their competitiveness drop.
Every quarter without training is a gap widening with competitors who invest.
The cost of inaction quickly exceeds that of well-targeted training.
Program
Module 1GitHub 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 2GitHub 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 3GitHub 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 4Advanced 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 5Expert 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.
Evaluation method
- 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
Learning method
- 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
Methods, materials and delivery
The Training GitHub Copilot - Boost Expert Developer Productivity program is delivered onsite or remote (blended-learning, e-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
Learni programs are available inter-company and intra-company, onsite or remote. Enrollments are possible up to 48 business hours before the program starts. Our programs are eligible for corporate funding paths. Contact us to discuss your training project and funding options.
Verified reviews
What our learners
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
Our method
Training quality, guaranteed at every step
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.
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.
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.
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.
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