GitHub Copilot for DevOps Automation and Productivity Training Course

GitHub Copilot serves as an AI-driven code completion assistant designed to boost development speed while enhancing quality and productivity. When combined with AI applications across projects, infrastructure, and software management, leaders can harness these technologies to optimize resource distribution, streamline operational workflows, and improve strategic decision-making.

This instructor-led live training, available either online or onsite, targets senior-level managers seeking to deepen their expertise in GitHub Copilot while exploring practical AI implementations in corporate settings. The curriculum includes examples pertinent to large-scale projects and industries such as oil and gas.

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

• Utilize advanced Copilot capabilities within extensive corporate projects.
• Embed Copilot into cross-functional workflows to maximize efficiency.
• Employ AI tools to enhance project management, infrastructure, and software procurement processes.
• Deploy AI-driven strategies to refine planning, estimation, and time management.
• Identify practical AI use cases within industry-specific contexts, including oil and gas.

Course Format

• Interactive lectures and discussions.
• Practical exercises and case study analysis.
• Live-lab demonstrations of AI tools and Copilot workflows.

Customization Options

• To arrange a customized version of this course, please get in touch with us.

This instructor-led, live training in Norway (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 is a rapidly developing discipline designed to meet the demands of contemporary, intricate IT landscapes, particularly those leveraging cloud infrastructure. The AIOps Foundation course provides a thorough overview of the fundamental concepts, technologies, and best practices associated with applying artificial intelligence to IT operations.

The curriculum explores the origins of AIOps, its foundational principles, essential tools, and the organizational hurdles that IT teams encounter when adopting these methodologies.

The training program concludes with an examination. Successfully passing this exam awards the globally recognized AIOps Foundation certification, which remains valid for three years.

Who is this course for?

This program is tailored for professionals and managers engaged in:

IT operations

DevOps and Site Reliability Engineering (SRE)

Cloud architecture

Data analysis and Data Science

Software development

IT security

Product and project management

AIOps (Artificial Intelligence for IT Operations) is gaining traction as a method to anticipate incidents before they happen and automate root cause analysis (RCA), thereby reducing downtime and speeding up resolution times.

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

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

• Construct and train ML models to identify patterns indicative of system failures.
• Automate RCA workflows by correlating logs and metrics from multiple sources.
• Integrate alerting and remediation processes into current platforms.
• Deploy and scale intelligent AIOps pipelines within production environments.

Course Format

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

Customization Options

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

AIOps (Artificial Intelligence for IT Operations) is a practice that leverages machine learning and analytics to automate and enhance IT operations, particularly in the areas of monitoring, incident detection, and response.

This instructor-led, live training (online or onsite) is aimed at intermediate-level IT operations professionals who wish 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 adaptable solutions for monitoring, anomaly detection, and intelligent alerting within production environments.

This instructor-led live training (available online or onsite) targets advanced-level engineers who aim to build and deploy a comprehensive AIOps pipeline utilizing tools such as Prometheus, ELK, Grafana, and custom ML models.

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

• Design an AIOps architecture using exclusively 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 tooling.

Course Format

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

Course Customization Options

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

This instructor-led live training in Norway (online or onsite) is designed for 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 measures.

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

This instructor-led, live training (available online or onsite) targets intermediate-level enterprise IT teams aiming to integrate AIOps solutions into their existing observability frameworks and operational processes.

Upon completing this training, participants will be capable of:

• Configuring and integrating Splunk, Moogsoft, and Dynatrace into a cohesive AIOps architecture.
• Correlating metrics, logs, and events across distributed systems through AI-driven analysis.
• Automating incident detection, prioritization, and response using both built-in and custom workflows.
• Optimizing performance, reducing Mean Time to Resolution (MTTR), and enhancing operational efficiency at an enterprise scale.

Course Format

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

Customization Options

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

This live, instructor-led training in Norway (online or onsite) targets beginner to intermediate developers who want to learn how to effectively leverage GitHub Copilot’s capabilities within contemporary development workflows.

This instructor-led, live training in Norway (online or onsite) targets intermediate to advanced participants aiming 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:

• Configure GitHub Copilot for team-based environments.
• Apply Copilot to improve collaborative coding practices.
• Enhance team workflows through Copilot’s capabilities.
• Oversee Copilot’s integration in projects involving multiple developers.
• Uphold uniform code quality and standards across the team.
• Harness advanced Copilot features tailored to team requirements.
• Integrate Copilot with other collaborative tools to boost efficiency.

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

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

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

This instructor-led, live training in Norway (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 Norway (online or onsite) is designed for intermediate-level participants who want to utilize GitHub Copilot for advanced coding scenarios, enhance productivity, and incorporate Copilot into their development processes.

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.