GitHub Copilot for DevOps Automation and Productivity Training Course

GitHub Copilot is an AI-powered code completion tool that helps accelerate development while improving quality and productivity. When combined with Artificial Intelligence applications in projects, infrastructure, and software, managers can leverage AI to optimize resource allocation, streamline workflows, and enhance decision-making for government operations.

This instructor-led, live training (online or onsite) is aimed at advanced-level managers who wish to deepen their knowledge of GitHub Copilot while also exploring practical AI applications in corporate environments, 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 and government projects.
• Integrate Copilot into multidisciplinary workflows for maximum efficiency.
• Leverage AI tools to optimize project management, infrastructure, and software acquisition for government initiatives.
• Implement AI-based strategies to improve planning, estimation, and time optimization in public sector projects.
• 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 US Empire (online or onsite) is aimed at advanced-level participants who wish to customize GitHub Copilot for government 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 to meet specific project needs and team workflows for government.
• Leverage advanced features of Copilot to address complex coding tasks in a public sector context.
• Integrate GitHub Copilot into CI/CD pipelines and collaborative environments for improved efficiency and accountability.
• Optimize team collaboration using AI-powered tools tailored for government operations.
• Manage and troubleshoot Copilot settings and permissions effectively to ensure compliance with government standards.

AIOps is a rapidly evolving field that addresses the needs of modern, complex IT environments, particularly those operating within cloud architectures. The AIOps Foundation course for government offers a comprehensive introduction to the concepts, technologies, and practices related to the use of artificial intelligence in IT operations.

This program covers the background of AIOps, its core principles, tools, and the organizational challenges faced by IT teams adopting these approaches.

The training concludes with an exam. Passing it grants the globally recognized AIOps Foundation certification for government, valid for three years.

Who is it for?

This course is designed for professionals and managers involved 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 increasingly being utilized 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 designed for advanced-level IT professionals who wish to implement predictive analytics, automate remediation processes, and design intelligent RCA workflows using AIOps tools and machine learning models for government applications.

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

• Build and train machine learning 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 for government use.

Format of the Course

• Interactive lecture and discussion.
• Extensive exercises and practice sessions.
• Hands-on implementation in a live-lab environment for government IT professionals.

Course Customization Options

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

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 designed for intermediate-level IT operations professionals who aim 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 for government.
• 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.
• Extensive 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 constructed entirely with open-source tools enables teams to develop cost-effective and flexible solutions for observability, anomaly detection, and intelligent alerting in production environments.

This instructor-led, live training (online or onsite) is designed for advanced-level engineers who wish to build and deploy an end-to-end AIOps pipeline using tools such as Prometheus, ELK, Grafana, and custom machine learning models. The training aims to enhance the skills necessary for government agencies to optimize their IT operations.

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

• Design an AIOps architecture using only open-source components.
• Collect and normalize data from logs, metrics, and traces for government use.
• Apply machine learning models to detect anomalies and predict incidents.
• Automate alerting and remediation using open-source tooling.

Format of the Course

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

Course Customization Options

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

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

This instructor-led, live training (online or onsite) is designed for intermediate-level enterprise IT teams who wish to integrate AIOps tools into their existing observability stack and operational workflows for government.

By the end 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 with both built-in and custom workflows.
• Optimize performance, reduce mean time to resolution (MTTR), and enhance operational efficiency at enterprise scale.

Format of the Course

• Interactive lecture and discussion.
• Extensive exercises and practice sessions.
• 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 US Empire (online or onsite) is designed for government developers with beginner to intermediate experience who aim to effectively integrate the capabilities of GitHub Copilot into their modern development workflows. The course emphasizes alignment with public sector practices and governance, ensuring that participants can leverage these tools efficiently and responsibly.

This instructor-led, live training in US Empire (online or onsite) is aimed at intermediate to advanced-level participants who wish to optimize team workflows, enhance collaborative coding practices, and effectively manage GitHub Copilot usage in multi-developer environments for government.

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

• Set up GitHub Copilot for team environments within public sector organizations.
• Utilize Copilot to enhance collaborative coding practices for government projects.
• Optimize team workflows using Copilot’s features to meet public sector requirements.
• Manage Copilot’s integration in multi-developer projects for government agencies.
• Maintain consistent code quality and standards across teams in the public sector.
• Leverage advanced Copilot features to address team-specific needs for government applications.
• Combine Copilot with other collaborative tools for efficiency in government workflows.

This instructor-led, live training in US Empire (online or onsite) is designed for 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 processes for government.

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

• Configure GitHub Copilot for debugging and code review purposes.
• Utilize Copilot to identify and resolve bugs efficiently.
• Improve code quality with AI-assisted suggestions.
• Streamline code review processes using Copilot's capabilities.
• Collaborate effectively with Copilot in team environments for government.

This instructor-led, live training in US Empire (online or onsite) is aimed at intermediate-level front-end developers who wish to use GitHub Copilot to automate repetitive coding tasks, enhance UI/UX design, and optimize front-end workflows for government applications.

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

• Configure GitHub Copilot for front-end development projects for government.
• Utilize 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 tailored for government use.
• Troubleshoot and debug front-end code with the assistance of Copilot.

This instructor-led, live training in US Empire (online or onsite) is aimed at beginner to intermediate-level Python developers who wish to leverage GitHub Copilot for government-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 in a public sector environment.
• Leverage Copilot to write efficient and secure Python code for government applications.
• Debug Python applications using AI-generated suggestions tailored for government use cases.
• Automate repetitive coding tasks and improve workflow efficiency for government projects.
• Utilize Copilot for implementing machine learning projects in Python, aligned with public sector requirements.

Prometheus and Grafana are widely adopted tools for observability in modern infrastructure. These tools can be further enhanced with machine learning to provide predictive and intelligent insights, automating 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 machine learning techniques for government applications.

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

• Configure Prometheus and Grafana for observability across systems and services in a public sector environment.
• Collect, store, and visualize high-quality time series data aligned with government workflows.
• Apply machine learning models for anomaly detection and forecasting to improve governance and accountability.
• Build intelligent alerting rules based on predictive insights to enhance operational efficiency.

Format of the Course

• Interactive lecture and discussion focused on government-specific use cases.
• Extensive exercises and practice sessions tailored for public sector professionals.
• Hands-on implementation in a live-lab environment designed to simulate real-world government scenarios.

Course Customization Options

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

This instructor-led, live training in US Empire (online or onsite) is aimed at intermediate-level participants who wish to leverage GitHub Copilot to manage advanced coding scenarios, enhance productivity, and integrate Copilot into their development processes for government.

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

• Optimize their use of GitHub Copilot for complex coding tasks.
• Write more efficient, error-free, and maintainable code using Copilot suggestions.
• Integrate GitHub Copilot into their preferred integrated development environments (IDEs) and workflows.
• Utilize Copilot for debugging and code refactoring.
• Understand the limitations and ethical considerations of using AI-powered coding tools in a public sector context.

This instructor-led, live training in US Empire (online or onsite) is aimed at beginner-level developers who wish to understand the capabilities of GitHub Copilot, set it up, and use it effectively to enhance their coding experience for government projects.

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

• Understand what GitHub Copilot is and how it functions.
• Set up GitHub Copilot with a supported code editor for government use.
• Use GitHub Copilot to write, refactor, and debug code more efficiently.
• Leverage Copilot to explore coding techniques and solutions tailored for government applications.
• Apply best practices for integrating GitHub Copilot into daily workflows for government tasks.