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 code quality and productivity. When combined with artificial intelligence applications in projects, infrastructure, and software, managers can utilize AI to optimize resource allocation, streamline workflows, and improve decision-making.

This instructor-led live training, available online or onsite, targets advanced-level managers looking to deepen their understanding of GitHub Copilot and explore practical AI applications within corporate settings. The course includes examples relevant to large-scale projects and industries such as oil and gas.

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

• Apply advanced Copilot features in large-scale corporate projects.
• Integrate Copilot into multidisciplinary workflows to maximize efficiency.
• Use AI tools to optimize project management, infrastructure, and software procurement.
• Implement AI-based strategies to enhance planning, estimation, and time management.
• Identify practical AI applications in industry-specific scenarios, such as 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 a customized version of this course, please contact us to make arrangements.

This instructor-led, live training in Sweden (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 being used to predict incidents before they occur and automate root cause analysis (RCA) to minimize downtime and accelerate resolution.

This instructor-led, live training (online or onsite) is aimed at advanced-level IT professionals who wish 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 ML models to detect patterns leading to system failures.
• Automate RCA workflows based on multi-source log and metric correlation.
• Integrate alerting and remediation processes into existing platforms.
• Deploy and scale intelligent AIOps pipelines in production environments.

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.

AIOps (Artificial Intelligence for IT Operations) is a discipline that leverages machine learning and advanced analytics to automate and enhance IT operations, with a specific 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 implement AIOps techniques to correlate metrics and logs, reduce alert noise, and improve observability through intelligent automation.

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

• Understand the principles and architecture of AIOps platforms.
• Correlate data across logs, metrics, and traces to identify root causes.
• Reduce alert fatigue through intelligent filtering and noise suppression.
• Use open-source or commercial tools to monitor and respond to incidents automatically.

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.

An AIOps pipeline developed entirely with open-source tools empowers teams to create cost-effective and flexible solutions for observability, anomaly detection, and intelligent alerting within production environments.

This instructor-led live training (available online or onsite) targets advanced engineers seeking to build and deploy an end-to-end AIOps pipeline utilizing tools such as Prometheus, ELK, Grafana, and custom machine learning models.

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

• Design an AIOps architecture utilizing exclusively open-source components.
• Gather and normalize data from logs, metrics, and traces.
• Apply machine learning models to identify anomalies and predict incidents.
• Automate alerting and remediation processes using open-source tooling.

Course Format

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

Course Customization Options

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

This instructor-led, live training in Sweden (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.

Enterprise-grade AIOps platforms such as Splunk, Moogsoft, and Dynatrace deliver robust capabilities for identifying anomalies, linking alerts, and automating responses across extensive IT landscapes.

This instructor-led live training (available online or onsite) is designed for intermediate-level enterprise IT teams seeking to incorporate AIOps solutions into their current observability infrastructure and operational processes.

Upon completing 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-powered analysis.
• Automate incident detection, prioritization, and response through both built-in and custom workflows.
• Enhance performance, decrease MTTR, and boost operational efficiency at an enterprise scale.

Course Format

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

Course Customization Options

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

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

Upon completing this training, participants will be equipped to:

• Configure GitHub Copilot for team environments.
• Employ Copilot to strengthen collaborative coding practices.
• Enhance team workflows utilizing Copilot’s capabilities.
• Oversee Copilot’s integration within 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 greater efficiency.

This instructor-led, live training in Sweden (online or onsite) is designed for intermediate-level QA engineers, developers, and team leads aiming to use GitHub Copilot for more efficient debugging, better code quality, and streamlined code reviews.

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

• Configure GitHub Copilot for debugging and code review tasks.
• Leverage Copilot to pinpoint and resolve bugs swiftly.
• Improve code quality through AI-assisted recommendations.
• Optimize code review processes using Copilot's features.
• Foster effective collaboration with Copilot in team settings.

This instructor-led, live training in Sweden (online or onsite) is designed for intermediate-level front-end developers who want to use GitHub Copilot to automate repetitive coding tasks, enhance UI/UX design, and streamline front-end workflows.

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

• Configure GitHub Copilot for front-end development projects.
• Utilize Copilot to efficiently generate HTML, CSS, and JavaScript code.
• Enhance UI/UX design processes through AI-generated code suggestions.
• Improve front-end workflows with practical Copilot integration strategies.
• Troubleshoot and debug front-end code using Copilot assistance.

This instructor-led live training in Sweden (online or onsite) targets beginner to intermediate 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 Sweden (online or onsite) is designed for intermediate-level participants who want to leverage GitHub Copilot to tackle advanced coding scenarios, enhance productivity, and seamlessly integrate Copilot into their development workflows.

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

• Maximize the effectiveness of GitHub Copilot for advanced coding tasks.
• Produce more efficient, error-free, and maintainable code by utilizing 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 Sweden (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:

• Grasp the fundamentals of GitHub Copilot and its underlying mechanisms.
• Configure GitHub Copilot within a compatible code editor.
• Utilize GitHub Copilot to write, refactor, and debug code with increased speed.
• Employ Copilot to discover novel coding techniques and solutions.
• Implement best practices for seamlessly integrating GitHub Copilot into daily workflows.