GitHub Copilot rewrites the developer experience — turning natural language prompts into code, and long hours into lightning-fast output.
In these instructor-led courses, participants learn how to prompt Copilot effectively, debug AI-suggested code safely, and streamline development workflows across projects.
Training is available as online live sessions via interactive remote desktop, or onsite in Central, with hands-on labs in real IDEs and version-controlled environments.
Onsite live training can be hosted at your office in Central or delivered 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.
Frasers Tower is a 38-storey Grade A office development with a three-storey cascading retail podium strategically located at the gateway to the dynamic Central Business District.
Only U Space
10 Anson Rd, #31-06 International Plaza , Singapore 079903, Singapore, 079903
International Plaza is a 50-storey office cum residential complex situated in Singapore’s CBD. The construction was part of a grand redevelopment plan for the central area of Singapore.
The closest MRT station is Downtown (DT17) on the Downtown Line. It is about a 2–3 minute walk from Asia Square Tower 1.
Take the Downtown Line to Downtown MRT (DT17).
Use Exit G (the building's official site lists Exit G).
Walk toward Asia Square Tower 1 / 8 Marina View.
Enter Tower 1 and take the lift to Level 42 or 43
Other convenient stations:
Shenton Way (TE19) — about 2–5 min walk.
Marina Bay (NS27/CE2/TE20) — about 4–6 min walk.
Raffles Place (NS26/EW14) — about 6 min walk.
By bus
There are several nearby bus stops. The closest are around Downtown MRT / Central Boulevard and are about a 4-minute walk away. Services include 97, 106, 133, 502 and 646 at Central Blvd – Downtown Stn Exit E.
Another nearby stop is One Raffles Quay, served by buses including 10, 57, 70, 75, 100, 107, 130, 131, 162, 167, 186 and 196.
This advanced training in Central covers GitHub Copilot and AI applications for corporate infrastructure. It equips managers with skills to optimize project management, streamline workflows, and enhance decision-making using AI tools, with a focus on large-scale projects.
This instructor-led, live training in Central introduces GitHub Copilot for DevOps automation. Participants will learn to streamline tasks like YAML configurations and CI/CD pipelines using AI. Hands-on exercises help you boost productivity and apply Copilot responsibly in real-world workflows.
This instructor-led, live training in Central (online or onsite) is aimed at intermediate-level to advanced-level participants who wish to optimize team workflows, enhance collaborative coding practices, and effectively manage Copilot usage in multi-developer environments.
By the end of this training, participants will be able to:
Set up GitHub Copilot for team environments.
Utilize Copilot to enhance collaborative coding practices.
Optimize team workflows using Copilot’s features.
Manage Copilot’s integration in multi-developer projects.
Maintain consistent code quality and standards across teams.
Leverage advanced Copilot features for team-specific needs.
Combine Copilot with other collaborative tools for efficiency.
This instructor-led, live training in Central (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 Central (online or onsite) is aimed at 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 Central (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 Central (online or onsite) is aimed at 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 Central (online or onsite) is aimed at intermediate-level participants who wish to leverage GitHub Copilot to handle advanced coding use cases, improve productivity, and integrate Copilot into their development workflows.
By the end of this training, participants will be able to:
Optimize their use of GitHub Copilot for advanced coding tasks.
Write more efficient, error-free, and maintainable code with Copilot suggestions.
Integrate GitHub Copilot into their preferred IDEs and workflows.
Utilize Copilot for debugging and code refactoring.
Understand the limitations and ethical considerations of using AI-powered coding tools.
This instructor-led, live training in Central (online or onsite) is aimed at beginner-level developers who wish 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 Central (online or onsite) is aimed at beginner-level 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 in Central (online or onsite) is aimed at developers who wish to use GitHub Copilot Agent Mode to build features autonomously, run tests, and manage larger coding tasks.
By the end 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.
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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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