GitHub Copilot transforms the developer experience by converting natural language prompts into code, turning long hours into rapid output.
In these instructor-led sessions, participants learn to prompt Copilot effectively, debug AI-suggested code safely, and streamline development workflows across projects.
Training is available via online live sessions using interactive remote desktop, or onsite in Bhutan, featuring hands-on labs in real IDEs and version-controlled environments.
Onsite live training can be hosted at your office in Bhutan or at a NobleProg training center, with exercises tailored to your tech stack, language preferences, and team dynamics.
Also known as GitHub Copilot for Developers or Copilot X, this course track helps professionals embrace AI-powered coding without losing code quality or control.
NobleProg – Your Local Training Provider
Bhutan, Thimphu - Classroom
near Le Méridien , Chorten Lam, Thimphu, Bhutan, 11001
Set in Thimphu, this classroom is well located in Chorten Lam with all amenities and WiFi.
For Sales Enquires and Meetings
All our centres have batches running on weekdays and weekends hence, please note that, in most cases, usually we are not able to organise ad hoc sales meetings, especially on our classrooms as they are all occupied with ongoing training sessions . Please contact us by e-mail or phone at least one day earlier to make an appointment with one of our consultants at our corporate offices.
Bhutan, Paro - Classroom
near Le Méridien Riverfront, thimphu hwy, Shaba, Paro, Bhutan, 12001
Set in Paro, this classroom is well located near Paro-Thimphu Highway around 4 km from the airport, and 7 km from Rinpung Dzong, and possess all amenities and WiFi.
For Sales Enquires and Meetings
All our centres have batches running on weekdays and weekends hence, please note that, in most cases, usually we are not able to organise ad hoc sales meetings, especially on our classrooms as they are all occupied with ongoing training sessions . Please contact us by e-mail or phone at least one day earlier to make an appointment with one of our consultants at our corporate offices.
GitHub Copilot is an AI-driven code completion assistant designed to boost development speed while enhancing code quality and overall productivity. When integrated with Artificial Intelligence applications in projects, infrastructure, and software systems, managers can harness AI to optimize resource distribution, streamline operational workflows, and strengthen decision-making processes.
This instructor-led live training, available online or onsite, targets advanced-level managers seeking to deepen their expertise in GitHub Copilot and explore practical AI applications within corporate settings. The curriculum includes examples pertinent to large-scale projects and sectors such as the oil and gas industry.
Upon completing this training, participants will be equipped to:
Utilize advanced Copilot capabilities in large-scale corporate projects.
Embed Copilot into multidisciplinary workflows to maximize efficiency.
Leverage AI tools to enhance project management, infrastructure, and software procurement.
Deploy AI-based strategies to refine planning, estimation, and time management.
Identify practical AI applications in industry-specific contexts like oil and gas.
Course Format
Interactive lectures and discussions.
Practical exercises and case studies.
Live laboratory demonstrations of AI tools and Copilot workflows.
Course Customization Options
To arrange a customized training session for this course, please get in touch with us.
GitHub Copilot acts as an AI-powered coding assistant designed to automate development tasks, including critical DevOps operations such as creating YAML configurations, GitHub Actions, and deployment scripts.
This instructor-led, live training (available online or onsite) is tailored for beginner to intermediate-level professionals who aim to utilize GitHub Copilot to streamline DevOps tasks, enhance automation, and boost overall productivity.
By the conclusion of this training, participants will be equipped to:
Utilize GitHub Copilot to assist with shell scripting, configuration, and CI/CD pipelines.
Harness AI code completion features within YAML files and GitHub Actions.
Accelerate testing, deployment, and automation workflows.
Apply Copilot responsibly by understanding AI limitations and adhering to best practices.
Course Format
Interactive lectures and discussions.
Extensive exercises and hands-on practice.
Practical implementation within a live-lab environment.
Customization Options
For tailored training requirements for this course, please reach out to us to arrange a session.
This instructor-led, live training in Bhutan (online or onsite) is designed for intermediate to advanced participants who aim to optimize team workflows, improve collaborative coding practices, and effectively manage Copilot usage in multi-developer settings.
Upon completing this training, participants will be capable of:
Configuring GitHub Copilot for team environments.
Using Copilot to strengthen collaborative coding practices.
Optimizing team workflows through Copilot’s capabilities.
Managing Copilot’s integration within multi-developer projects.
Ensuring consistent code quality and standards across teams.
Leveraging advanced Copilot features tailored to team-specific requirements.
Integrating Copilot with other collaborative tools for enhanced efficiency.
This instructor-led, live training in Bhutan (online or onsite) is aimed at intermediate-level QA engineers, developers, and team leads who wish to leverage GitHub Copilot for more efficient debugging, code quality enhancement, and streamlined code review.
By the end of this training, participants will be able to:
Set up GitHub Copilot for debugging and code review purposes.
Use Copilot to identify and resolve bugs efficiently.
Enhance code quality with AI-assisted suggestions.
Streamline code review processes with Copilot's capabilities.
Collaborate effectively using Copilot in team environments.
This instructor-led, live training in Bhutan (online or on-site) targets intermediate-level front-end developers who wish to use GitHub Copilot to automate repetitive coding tasks, improve UI/UX design, and streamline front-end workflows.
By the end of this training, participants will be able to:
Set up GitHub Copilot for front-end development projects.
Leverage Copilot to generate HTML, CSS, and JavaScript code efficiently.
Improve UI/UX design processes using AI-generated code suggestions.
Enhance front-end workflows with practical Copilot integration strategies.
Troubleshoot and debug front-end code using Copilot assistance.
This instructor-led, live training in Bhutan (online or onsite) is aimed at beginner-level to intermediate-level Python developers who wish to leverage GitHub Copilot for Python-specific tasks, debugging, and implementing machine learning workflows.
By the end of this training, participants will be able to:
Set up and configure GitHub Copilot for Python development.
Leverage Copilot to write efficient Python code.
Debug Python applications using AI-generated suggestions.
Automate repetitive coding tasks and improve workflow efficiency.
Utilize Copilot for implementing machine learning projects in Python.
This instructor-led, live training in Bhutan (online or onsite) is designed for advanced-level participants who wish to customize GitHub Copilot for team projects, utilize its advanced features, and integrate it seamlessly into CI/CD pipelines for enhanced collaboration and productivity.
By the end of this training, participants will be able to:
Customize GitHub Copilot for specific project needs and team workflows.
Leverage advanced features of Copilot for complex coding tasks.
Integrate GitHub Copilot into CI/CD pipelines and collaborative environments.
Optimize team collaboration using AI-powered tools.
Manage and troubleshoot Copilot settings and permissions effectively.
This instructor-led live training in Bhutan (online or onsite) is designed for intermediate-level participants who want to utilise GitHub Copilot to manage complex coding use cases, boost productivity, and seamlessly integrate Copilot into their development workflows.
Upon completion of this training, participants will be able to:
Optimise their utilisation of GitHub Copilot for advanced coding tasks.
Write more efficient, error-free, and maintainable code using Copilot suggestions.
Integrate GitHub Copilot into their preferred IDEs and workflows.
Utilise Copilot for debugging and code refactoring.
Understand the limitations and ethical considerations of using AI-powered coding tools.
This instructor-led, live training in Bhutan (online or onsite) is designed for beginner-level developers who want to understand GitHub Copilot's capabilities, set it up, and use it effectively to enhance their coding experience.
By the end of this training, participants will be able to:
Understand what GitHub Copilot is and how it works.
Set up GitHub Copilot with a supported code editor.
Use GitHub Copilot to write, refactor, and debug code faster.
Leverage Copilot to explore coding techniques and solutions.
Apply best practices for integrating GitHub Copilot into daily workflows.
This instructor-led, live training in Bhutan (online or onsite) is designed for beginner to intermediate-level developers who wish to learn how to utilize the capabilities of GitHub Copilot effectively within modern development workflows.
This instructor-led, live training session Bhutan (offered online or onsite) is designed for developers looking to utilize GitHub Copilot Agent Mode for autonomous feature development, automated testing, and managing larger coding assignments.
By the conclusion of this training, participants will be able to activate Agent Mode, plan and iterate within the agent loop, execute terminal commands, and implement enterprise governance frameworks.
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Testimonials (2)
That i gained a knowledge regarding streamlit library from python and for sure i'll try to use it to improve applications in my team which are made in R shiny
Michal Maj - XL Catlin Services SE (AXA XL)
Course - GitHub Copilot for Developers
Trainer able to adjust the course level during training to fit our understanding level on the topic, so that we could gain more useful knowledge that could further help us harness the tools in our daily works.
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