GitHub Copilot transforms the developer experience by converting natural language prompts into executable code and replacing lengthy manual tasks with rapid, efficient output.
In these instructor-led courses, participants develop the skills to craft effective prompts for Copilot, safely debug AI-generated code, and optimize development workflows across various projects.
Training is available as online live sessions via interactive remote desktop, or onsite in Bangkok, featuring hands-on labs within real IDEs and version-controlled environments.
Onsite live training can be hosted at your office in Bangkok or delivered at a NobleProg training center, with exercises specifically tailored to your tech stack, language preferences, and team dynamics.
Also recognized as GitHub Copilot for Developers or Copilot X, this course track enables professionals to adopt AI-powered coding while maintaining high standards of code quality and control.
NobleProg – Your Local Training Provider
Empire Tower
1, South Sathorn Road,, Bangkok, thailand, 10120
Ways to get there
BTS Skytrain: Take the Silom Line and get off at BTS Chong Nonsi. The Empire is within walking distance; the building has access from the Sathorn/Naradhiwas area.
BTS Saint Louis:Saint Louis station is also nearby, around a 7-minute walk according to current location information.
BRT: Get off at BRT Sathorn. It's approximately a 2–4 minute walk to the building.
MRT:MRT Silom is another option, followed by a walk toward Sathorn.
Taxi/Grab: Give the driver: “The Empire, 1 South Sathorn Road, Sathon, Bangkok 10120.” The official building site confirms this address.
By car: The building can be accessed from Sathorn Road or Naradhiwas Rajanagarinda Road.
This advanced program on Bangkok delves into GitHub Copilot and AI applications for corporate infrastructure. It empowers managers to optimize project oversight, streamline operational workflows, and strengthen decision-making through AI tools, with a particular emphasis on managing large-scale projects.
This instructor-led, live training in Bangkok introduces GitHub Copilot for DevOps automation. Participants will learn to streamline tasks such as YAML configurations and CI/CD pipelines using AI. Through hands-on exercises, you will enhance productivity and learn to apply Copilot responsibly in real-world workflows.
This live, instructor-led training in Bangkok (available online or onsite) targets intermediate to advanced participants aiming to optimize team workflows, refine collaborative coding practices, and manage Copilot usage effectively in multi-developer settings.
By the end of this session, participants will be prepared to:
Set up GitHub Copilot for team environments.
Use Copilot to enhance collaborative coding practices.
Improve team workflows by utilizing Copilot’s features.
Manage Copilot’s integration in multi-developer projects.
Ensure consistent code quality and standards across teams.
Utilize advanced Copilot features for specific team needs.
Integrate Copilot with other collaborative tools for greater efficiency.
This live, instructor-led training is conducted in Bangkok (online or on-site) and is tailored for intermediate-level QA engineers, developers, and team leads seeking to utilize GitHub Copilot for more efficient debugging, improved code quality, and streamlined code reviews.
By the end of the session, 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 live, instructor-led training, conducted in Bangkok (either online or on-site), is tailored for intermediate-level front-end developers looking to harness GitHub Copilot for automating repetitive coding tasks, enhancing UI/UX design, and streamlining front-end workflows.
Following the completion of this training, participants will be capable of:
Setting up GitHub Copilot for front-end development projects.
Effectively using Copilot to generate HTML, CSS, and JavaScript code.
Enhancing UI/UX design processes through AI-generated code suggestions.
Improving front-end workflows by applying practical Copilot integration strategies.
Debugging and resolving front-end code issues with Copilot's assistance.
This live, instructor-led training session, conducted in Bangkok (either virtually or in person), targets Python developers at beginner to intermediate levels who intend to harness GitHub Copilot for specialized Python tasks, error resolution, and machine learning project development.
By the conclusion of this program, attendees will be equipped 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 live, instructor-led training in Bangkok (available online or on-site) is designed for advanced-level participants looking to customize GitHub Copilot for team initiatives, exploit its advanced features, and integrate it fluidly into CI/CD pipelines to amplify collaboration and productivity.
By the end of this training, participants will be equipped to:
Adapt GitHub Copilot to fit specific project needs and team workflows.
Deploy Copilot’s advanced features for handling complex coding tasks.
Integrate GitHub Copilot into CI/CD pipelines and collaborative settings.
Enhance team synergy using AI-driven tools.
Administer and resolve issues related to Copilot settings and permissions.
This live, instructor-led training, available online or in-person in Bangkok, is designed for intermediate-level individuals aiming to use GitHub Copilot to manage advanced coding scenarios, enhance productivity, and integrate the tool into their development routines.
By the conclusion of the session, participants will be capable of:
Optimizing their deployment of GitHub Copilot for high-level coding activities.
Creating code that is efficient, free of errors, and maintainable by applying Copilot’s suggestions.
Embedding GitHub Copilot into their specific IDE environments and workflow preferences.
Utilizing Copilot to assist in debugging and refactoring code.
Comprehending the boundaries and ethical issues surrounding the use of AI-powered coding assistants.
This live, instructor-led training session, available both online and on-site, is designed for junior developers aiming to comprehend the capabilities of GitHub Copilot, establish the necessary setup, and apply it effectively to improve their coding proficiency.
By the conclusion of the program, attendees will possess the skills to:
Comprehend the identity and functional logic of GitHub Copilot.
Configure GitHub Copilot within a supported development environment.
Accelerate writing, refactoring, and debugging tasks using GitHub Copilot.
Utilize Copilot to investigate diverse coding methodologies and problem-solving approaches.
Adopt best practices for embedding GitHub Copilot into everyday development routines.
This live, instructor-led training held in Bangkok (either online or on-site) is tailored for beginner to intermediate developers looking to master the effective use of GitHub Copilot within modern development practices.
This instructor-led, live training in Bangkok (available online or onsite) is tailored for developers looking to utilize GitHub Copilot Agent Mode to autonomously build features, run tests, and manage larger coding tasks.
By the end of this training, participants will be equipped to activate Agent Mode, plan and iterate within the agent loop, execute terminal commands, and implement enterprise governance strategies.
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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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