GitHub Copilot for DevOps Automation and Productivity Training Course

GitHub Copilot is an AI-driven code completion tool designed to boost development speed while enhancing quality and productivity. When integrated with AI applications across projects, infrastructure, and software, managers can harness AI to optimize resource allocation, streamline workflows, and improve decision-making processes.

This instructor-led, live training (available online or onsite) is designed for advanced-level managers seeking to deepen their understanding of GitHub Copilot and explore practical AI applications in corporate settings, with examples relevant to large-scale projects and industries such as oil and gas.

By the end of this training, participants will be able to:

• Apply advanced Copilot functionalities in large-scale corporate projects.
• Integrate Copilot into multidisciplinary workflows for maximum efficiency.
• Leverage AI tools to optimize project management, infrastructure, and software acquisition.
• Implement AI-based strategies to improve planning, estimation, and time optimization.
• Recognize practical AI applications in industry-specific scenarios such as oil and gas.

Format of the Course

• Interactive lecture and discussion.
• Hands-on exercises and case studies.
• Live-lab demonstrations of AI tools and Copilot workflows.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

This instructor-led live training in South Korea (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.

AIOps (Artificial Intelligence for IT Operations) is increasingly utilized to anticipate incidents before they happen and automate root cause analysis (RCA), thereby minimizing downtime and speeding up resolution.

This live training, led by an instructor and available online or on-site, targets advanced IT professionals eager to implement predictive analytics, automate remediation, and design intelligent RCA workflows using AIOps tools and machine learning models.

By the end of this training, participants will be able to:

• Build and train machine learning models to identify patterns that lead to system failures.
• Automate RCA workflows through the correlation of logs and metrics from multiple sources.
• Integrate alerting and remediation processes into existing platforms.
• Deploy and scale intelligent AIOps pipelines within production environments.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practice sessions.
• Hands-on implementation in a live laboratory environment.

Customization Options

• To request customized training for this course, please contact us to make arrangements.

AIOps (Artificial Intelligence for IT Operations) is a methodology that leverages machine learning and analytics to automate and enhance IT operations, with a focus on monitoring, incident detection, and response.

This instructor-led, live training (available online or onsite) is designed for intermediate-level IT operations professionals looking to apply AIOps techniques. The goal is to correlate metrics and logs, reduce alert noise, and boost observability through intelligent automation.

Upon completing this training, participants will be able to:

• Grasp the core principles and architecture of AIOps platforms.
• Correlate data from logs, metrics, and traces to pinpoint root causes.
• Alleviate alert fatigue by using intelligent filtering and noise suppression.
• Deploy open-source or commercial tools to automatically monitor and respond to incidents.

Course Format

• Interactive lectures and discussions.
• Numerous exercises and practical activities.
• Hands-on implementation within a live lab environment.

Customization Options

• For personalized training on this course, please contact us to arrange a session.

By leveraging open-source tools exclusively, organizations can develop cost-efficient and adaptable solutions for monitoring, identifying anomalies, and managing intelligent alerts within production environments.

This instructor-led live training, available online or onsite, targets advanced engineers seeking to construct and implement a complete AIOps pipeline. Participants will utilize tools such as Prometheus, ELK, Grafana, and custom machine learning models.

Upon completion of this course, participants will be equipped to:

• Design an AIOps architecture composed entirely of open-source components.
• Gather and standardize data from logs, metrics, and traces.
• Implement ML models to identify anomalies and forecast incidents.
• Automate alerting and remediation processes using open-source tooling.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical application.
• Hands-on implementation within a live laboratory environment.

Customization Options

• For customized training requests, please contact us to make arrangements.

This instructor-led, live training in South Korea (online or onsite) is targeted at developers seeking to use GitHub Copilot Agent Mode to autonomously build features, execute 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.

Enterprise AIOps platforms such as Splunk, Moogsoft, and Dynatrace deliver robust capabilities for detecting anomalies, correlating alerts, and automating responses across extensive IT infrastructures.

This instructor-led, live training (available online or onsite) is designed for intermediate-level enterprise IT teams seeking to integrate AIOps tools into their current observability stacks and operational workflows.

Upon completion of this training, participants will be able to:

• Configure and integrate Splunk, Moogsoft, and Dynatrace into a cohesive AIOps architecture.
• Correlate metrics, logs, and events across distributed systems using AI-driven analysis.
• Automate incident detection, prioritization, and response through built-in and custom workflows.
• Enhance performance, reduce MTTR, and boost operational efficiency at an enterprise scale.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical sessions.
• Hands-on implementation within a live-lab environment.

Customization Options

• To request customized training for this course, please contact us to arrange.

This instructor-led, live training in South Korea (online or on-site) is designed for beginner to intermediate developers seeking to effectively utilize GitHub Copilot within modern development workflows.

This instructor-led, live training in South Korea (online or onsite) is designed for intermediate to advanced participants looking to optimize team workflows, elevate collaborative coding practices, and effectively manage Copilot usage within multi-developer settings.

Upon completing this training, participants will be able to:

• Configure GitHub Copilot for team environments.
• Apply Copilot to strengthen collaborative coding practices.
• Optimize team workflows leveraging Copilot’s capabilities.
• Manage Copilot integration in multi-developer projects.
• Ensure consistent code quality and standards across teams.
• Utilize advanced Copilot features tailored to team-specific requirements.
• Integrate Copilot with other collaborative tools for maximum efficiency.

This instructor-led live training in South Korea (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 South Korea (online or onsite) 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 South Korea (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.

Prometheus and Grafana are extensively utilized tools for achieving observability in contemporary infrastructure environments. When augmented with machine learning, these platforms gain the ability to provide predictive and intelligent insights, thereby automating operational decision-making processes.

This instructor-led live training session, available either online or at an onsite location, is designed for intermediate-level observability professionals who aim to modernize their monitoring infrastructure by integrating AIOps practices using Prometheus, Grafana, and machine learning techniques.

Upon completion of this training, participants will be capable of:

• Configuring Prometheus and Grafana to ensure comprehensive observability across various systems and services.
• Collecting, storing, and visualizing high-quality time series data.
• Applying machine learning models for the purpose of anomaly detection and forecasting.
• Constructing intelligent alerting rules grounded in predictive insights.

Course Format

• Interactive lectures and discussions.
• Numerous exercises and practical sessions.
• Hands-on implementation within a live laboratory environment.

Course Customization Options

• To request a customized training version of this course, please contact us to make arrangements.

This instructor-led live training in South Korea (online or onsite) is tailored for intermediate-level participants who want to use GitHub Copilot to manage advanced coding scenarios, boost productivity, and seamlessly integrate Copilot into their development workflows.

Upon completion of this training, participants will be able to:

• Maximize the use of GitHub Copilot for complex coding tasks.
• Create more efficient, bug-free, and maintainable code using Copilot's suggestions.
• Integrate GitHub Copilot into their preferred IDEs and workflows.
• Use Copilot for debugging and code refactoring.
• Understand the limitations and ethical considerations of using AI-powered coding tools.

This instructor-led live training in South Korea (online or onsite) is targeted at beginner-level developers who want to understand GitHub Copilot's capabilities, configure it, and use it effectively to enhance their coding experience.

Upon completing this training, participants will be able to:

• Comprehend what GitHub Copilot is and how it functions.
• Configure GitHub Copilot with a compatible code editor.
• Utilize GitHub Copilot to write, refactor, and debug code more efficiently.
• Use Copilot to discover coding techniques and solutions.
• Apply best practices for integrating GitHub Copilot into daily workflows.