GitHub Copilot for DevOps Automation and Productivity Training Course

This instructor-led, live training in US (online or onsite) is designed for 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 to enhance 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. - Utilize 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. - Effectively manage and troubleshoot Copilot settings and permissions.

AIOps is a rapidly advancing field that addresses the complexities of modern IT environments, particularly those utilizing cloud architectures. The AIOps Foundation course provides a thorough introduction to the concepts, technologies, and practices associated with integrating artificial intelligence into IT operations.

This program delves into the background of AIOps, its fundamental principles, essential tools, and the organizational challenges that IT teams face when adopting these innovative approaches.

The training culminates in an exam. Successfully passing this exam awards participants the globally recognized AIOps Foundation certification, which remains valid for three years.

Who is it for?

This course is tailored 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

This comprehensive training is designed to enhance the capabilities of individuals working in these areas, providing them with the knowledge and skills necessary to effectively leverage AIOps technologies for government and other critical sectors.

Artificial Intelligence for IT Operations (AIOps) is increasingly utilized to predict incidents before they occur and automate root cause analysis (RCA) to minimize downtime and accelerate resolution. This instructor-led, live training (available 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. 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. **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.

The AI Ops Advanced course builds upon foundational AIOps principles to offer practical, hands-on experience with real-world tools, advanced machine learning techniques, automation workflows, and operational design patterns. It equips participants to construct, configure, fine-tune, and extend AIOps pipelines and integrations.

This instructor-led, live training (available online or on-site) is designed for intermediate to advanced IT professionals who aim to develop robust AIOps ecosystems, conduct advanced analytics, and automate operational workflows using real-world tools. The course aligns with the needs of participants in various sectors, including those for government.

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

• Correlate and normalize diverse operational data sources.
• Design and refine anomaly detection and root cause analysis models.
• Integrate AIOps with IT Service Management (ITSM) and DevOps pipelines.
• Develop closed-loop automation and predictive incident workflows.

Format of the Course

• Advanced lectures and architecture discussions.
• Hands-on labs with industry-standard tools and platforms.
• Case studies and optimization exercises.

Artificial Intelligence for IT Operations (AIOps) is the utilization of machine learning, analytics, and automation to streamline and enhance IT operations. It assists organizations in automating incident detection, correlating events, and improving operational decision-making.

This instructor-led, live training (conducted online or on-site) is designed for government IT professionals at the beginner level who wish to understand the fundamentals of applying AI and big data in IT operations to improve observability, metrics, and incident handling.

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

• Describe the evolution and importance of AIOps for government.
• Explain core technologies such as big data and machine learning within AIOps contexts.
• Identify key operational metrics and use cases for AIOps in public sector environments.
• Understand the organizational impact, implementation strategies, and challenges of deploying AIOps solutions.

Format of the Course

• Interactive lecture and discussion.
• Case study review and scenario-based discussions relevant to government operations.
• Hands-on exercises with AIOps concepts and tools tailored for government IT professionals.

AIOps (Artificial Intelligence for IT Operations) is a practice that leverages machine learning and analytics to automate and enhance IT operations, particularly in 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 for government agencies.

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.
• 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.

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 (conducted online or on-site) is designed for advanced-level engineers who aim to build and deploy an end-to-end AIOps pipeline using tools such as Prometheus, ELK, Grafana, and custom machine learning models. By the end of this training, participants will be able to: - Design an AIOps architecture utilizing only open-source components. - Collect and normalize data from logs, metrics, and traces. - Apply machine learning models to detect anomalies and predict incidents. - Automate alerting and remediation processes using open 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 for Government** - To request a customized training for government, 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 unified AIOps architecture. - Correlate metrics, logs, and events across distributed systems using AI-driven analysis. - Automate incident detection, prioritization, and response with built-in and custom workflows. - Optimize performance, reduce Mean Time to Resolution (MTTR), and improve 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, available online or on-site, is designed for government developers ranging from beginners to intermediates. The course aims to equip participants with the skills necessary to leverage GitHub Copilot effectively within contemporary development workflows for government projects.

This instructor-led, live training (conducted online or onsite) is designed for intermediate-level QA engineers, developers, and team leads who aim to utilize GitHub Copilot for more efficient debugging, code quality improvement, and streamlined code review processes. 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 effectively. - Enhance code quality through AI-assisted suggestions. - Streamline code review workflows with Copilot's capabilities. - Foster effective collaboration using Copilot in team environments. This training is tailored to support the needs of professionals working in technical roles, ensuring they can leverage advanced tools for government projects.

This instructor-led, live training (online or onsite) is designed for intermediate-level front-end developers who wish to utilize GitHub Copilot to automate repetitive coding tasks, enhance UI/UX design, and optimize 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 more efficiently.
• Improve UI/UX design processes with AI-generated code suggestions.
• Enhance front-end workflows through practical integration of Copilot strategies.
• Troubleshoot and debug front-end code using Copilot's assistance.

This training aligns with the needs for government agencies looking to streamline their development processes and ensure efficient use of resources.

This instructor-led, live training (available online or on-site) is designed for government personnel who are beginner to intermediate-level Python developers looking 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 in a government setting. - Utilize Copilot to write efficient and compliant Python code for government applications. - Debug Python applications using AI-generated suggestions to enhance accuracy and reliability. - Automate repetitive coding tasks to improve workflow efficiency for government projects. - Leverage Copilot for implementing machine learning initiatives in Python, tailored to meet the needs of public sector workflows.

Prometheus and Grafana are widely utilized tools for observability in modern infrastructure. When augmented with machine learning, these tools provide predictive and intelligent insights that enhance the automation of operations decisions. This instructor-led, live training (available online or on-site) is designed for intermediate-level observability professionals who aim to modernize their monitoring systems by integrating AIOps practices using Prometheus, Grafana, and machine learning techniques. By the end of this training, participants will be able to: - Configure Prometheus and Grafana for comprehensive observability across systems and services. - Collect, store, and visualize high-quality time series data. - Apply machine learning models for anomaly detection and forecasting. - Develop intelligent alerting rules based on predictive insights. **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 program for government, please contact us to arrange.

This instructor-led, live training (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 workflows 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 associated with using AI-powered coding tools.

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

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.
• Utilize GitHub Copilot to write, refactor, and debug code more efficiently.
• Leverage Copilot to explore coding techniques and solutions.
• Apply best practices for integrating GitHub Copilot into daily workflows for government operations.