GitHub Copilot for DevOps Automation and Productivity Training Course

GitHub Copilot is an AI-driven code completion tool designed to accelerate development processes while enhancing both quality and productivity. When combined with Artificial Intelligence applications in projects, infrastructure, and software management, managers can harness AI to optimize resource allocation, streamline workflows, and improve decision-making capabilities.

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

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

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

Course Format

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

Course Customization Options

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

This live, instructor-led training conducted in Vietnam (online or on-site) targets advanced learners who aim to customize GitHub Copilot for team projects, exploit its advanced features, and integrate it smoothly into CI/CD pipelines to improve collaboration and productivity.

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

• Adapt GitHub Copilot to meet specific project needs and team workflows.
• Apply advanced Copilot features for complex coding tasks.
• Integrate GitHub Copilot into CI/CD pipelines and collaborative environments.
• Optimize team collaboration through AI-powered tools.
• Effectively manage and troubleshoot Copilot settings and permissions.

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

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

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

• Building and training ML models to identify patterns associated with system failures.
• Automating RCA workflows by correlating data from multiple logs and metrics sources.
• Integrating alerting and remediation processes into existing platforms.
• Deploying and scaling intelligent AIOps pipelines within production environments.

Course Format

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

Customization Options for the Course

• For customized training requests, please contact us to arrange.

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

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

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

• Grasping the core principles and architecture of AIOps platforms.
• Correlating data across logs, metrics, and traces to pinpoint root causes.
• Alleviating alert fatigue via intelligent filtering and noise suppression techniques.
• Utilizing open-source or commercial tools to automatically monitor and respond to incidents.

Course Format

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

Course Customization Options

• For tailored training requests, please contact us to arrange details.

Developing an AIOps pipeline exclusively with open-source tools enables teams to create cost-efficient and adaptable solutions for observability, anomaly detection, and intelligent alerting within production environments.

This instructor-led live training, available both online and onsite, targets advanced-level engineers looking to design and implement a complete AIOps pipeline utilizing tools such as Prometheus, ELK, Grafana, and custom machine learning models.

Upon completing this training, participants will be equipped to:

• Architect an AIOps infrastructure relying solely on 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 lab setting.

Course Customization Options

• To request tailored training for this course, please get in touch to make arrangements.

This instructor-led live training, delivered in Vietnam (online or onsite), targets developers seeking to use GitHub Copilot's Agent Mode to autonomously develop features, execute tests, and handle larger coding assignments.

By the end of this course, participants will be able to activate Agent Mode, plan and iterate within the agent loop, execute terminal commands, and implement enterprise governance standards.

Enterprise AIOps platforms such as Splunk, Moogsoft, and Dynatrace offer robust capabilities for identifying anomalies, correlating alerts, and automating responses across large-scale IT environments.

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

Upon completing this training, participants will be able to:

• Configure and integrate Splunk, Moogsoft, and Dynatrace into a unified 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.
• Optimize performance, reduce MTTR, and enhance operational efficiency at an enterprise scale.

Course Format

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

Course Customization Options

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

This instructor-led, live training in Vietnam (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 Vietnam (online or onsite) targets intermediate to advanced participants seeking to optimize team workflows, enhance collaborative coding practices, and effectively manage Copilot usage in multi-developer environments.

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

• Configure GitHub Copilot for team environments.
• Employ Copilot to strengthen collaborative coding practices.
• Optimize team workflows leveraging Copilot’s features.
• Oversee Copilot’s integration within multi-developer projects.
• Sustain consistent code quality and standards across teams.
• Harness advanced Copilot features for specific team requirements.
• Integrate Copilot with other collaborative tools to boost efficiency.

This instructor-led live training in Vietnam (online or onsite) is designed for intermediate QA engineers, developers, and team leads who want to use GitHub Copilot to debug more efficiently, enhance code quality, and streamline the code review process.

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

• Configure GitHub Copilot for debugging and code review tasks.
• Leverage Copilot to detect and fix bugs quickly.
• Improve code quality through AI-generated recommendations.
• Simplify code review workflows using Copilot's features.
• Foster effective collaboration by integrating Copilot into team settings.

This instructor-led, live training in Vietnam (online or onsite) is designed for intermediate-level front-end developers who want 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 Vietnam (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 widely adopted tools for observability in modern infrastructure, while machine learning enhances these tools with predictive and intelligent insights to automate operations decisions.

This instructor-led, live training (online or onsite) is aimed at intermediate-level observability professionals who wish to modernize their monitoring infrastructure by integrating AIOps practices using Prometheus, Grafana, and ML techniques.

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

• Configure Prometheus and Grafana for observability across systems and services.
• Collect, store, and visualize high-quality time series data.
• Apply machine learning models for anomaly detection and forecasting.
• Build intelligent alerting rules based on predictive insights.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

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

This instructor-led, live training in Vietnam (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 Vietnam (online or onsite) is tailored for beginner-level developers who want to understand GitHub Copilot's capabilities, set it up, and use it effectively to improve 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.