GitHub Copilot for DevOps Automation and Productivity Training Course

This advanced training in US covers GitHub Copilot and AI applications for corporate and government infrastructure. It equips managers with skills to optimize project management, streamline workflows, and enhance decision-making using AI tools, with a focus on large-scale projects.

This instructor-led, live training in US (available online or onsite) targets advanced-level participants seeking to customize GitHub Copilot for team projects, exploit its advanced capabilities, and integrate it seamlessly into CI/CD pipelines to bolster collaboration and productivity.

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

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

This instructor-led, live training in US (available online or onsite) is designed for observability and SRE engineers seeking to integrate large language models and AI into their monitoring, alerting, and incident analysis workflows.

AIOps is a rapidly advancing domain that addresses the requirements of modern, complex IT environments—specifically those functioning within cloud-based architectures. The AIOps Foundation course provides a thorough introduction to the concepts, technologies, and best practices associated with leveraging artificial intelligence in IT operations for government.

This program examines the background of AIOps, its underlying principles, applicable tools, and the organizational challenges encountered by IT teams implementing these methodologies.

The training is concluded with an examination. Successful completion results in the globally recognized AIOps Foundation certification, which remains valid for a period of three years.

Intended Audience

This course is tailored for professionals and managers engaged in the following areas:

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 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.

The Advanced AIOps course builds upon foundational principles to deliver practical experience with industry-standard tools, advanced machine learning techniques, automation workflows, and operational design patterns. It equips participants to construct, configure, optimize, and extend AIOps pipelines and integrations for government contexts.

This instructor-led, live training (online or onsite) targets intermediate to advanced IT professionals who aim to design and implement robust AIOps ecosystems, conduct advanced analytics, and automate operational workflows for government using real-world tools.

Upon completion, participants will be able to:

• Correlate and standardize diverse operational data sources.
• Design and refine anomaly detection and root cause analysis models.
• Integrate AIOps with ITSM and DevOps pipelines.
• Establish closed-loop automation and predictive incident workflows.

Course Format

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

AIOps (Artificial Intelligence for IT Operations) represents the strategic application of machine learning, advanced analytics, and automation to optimize and enhance IT service delivery. It enables agencies to automate incident detection, correlate complex events, and elevate the quality of operational decision-making for government purposes.

This instructor-led, live training program (delivered online or onsite) is designed for entry-level IT professionals seeking to comprehend the fundamentals of leveraging AI and big data in IT operations to bolster observability, performance metrics, and incident management within public sector environments.

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

• Articulate the historical progression and strategic significance of AIOps.
• Elucidate core technologies, including big data and machine learning, within the context of AIOps for government.
• Recognize critical operational metrics and applicable use cases for AIOps.
• Evaluate organizational impacts, implementation methodologies, and associated challenges.

Course Format

• Interactive instruction and facilitated discussion.
• Analysis of case studies and scenario-based deliberation.
• Practical exercises involving AIOps concepts and tools for government application.

This instructor-led, live training in US, available online or on-site, is designed for SRE and DevOps engineers tasked with designing, building, and securely deploying AI agents for autonomous IT operations for government use.

This instructor-led live training in US (online or onsite) is designed for developers aiming to utilize GitHub Copilot Agent Mode for autonomous feature development, test execution, and management of complex coding tasks.

Upon completion, participants will be able to activate Agent Mode, execute planning and iteration within the agent loop, perform terminal commands, and implement enterprise governance protocols.

Enterprise AIOps platforms, such as Splunk, Moogsoft, and Dynatrace, deliver robust capabilities for anomaly detection, alert correlation, and response automation within large-scale IT environments.

This instructor-led live training program, available online or on-site, is designed for intermediate-level enterprise IT teams seeking to integrate AIOps tools into their existing observability stacks and operational workflows.

Upon completion of 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 using AI-driven analytical methods.
• Automating incident detection, prioritization, and response using both built-in and custom workflows.
• Enhancing performance, reducing Mean Time to Resolution (MTTR), and improving operational efficiency at the enterprise level.

Course Format

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

Customization Options for Government

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

Prometheus and Grafana are extensively adopted tools for infrastructure observability, while machine learning enhances these capabilities by providing predictive and intelligent insights to automate operational decision-making.

This instructor-led training program (delivered online or onsite) is designed for intermediate-level observability professionals seeking to modernize monitoring infrastructure for government through the integration of AIOps practices using Prometheus, Grafana, and machine learning techniques.

Upon completion of this training, participants will be proficient in:

• Configuring Prometheus and Grafana for comprehensive observability across systems and services.
• Collecting, storing, and visualizing high-fidelity time series data.
• Applying machine learning models for the purposes of anomaly detection and forecasting.
• Constructing intelligent alerting rules derived from predictive analytics.

Course Format

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

Course Customization Options

• For requests regarding customized training for government, please contact the relevant office to arrange specific details.

This instructor-led, live training in US (online or onsite) is intended for machine learning engineers and platform teams tasked with building robust operational pipelines for LLM-powered applications at scale for government.

This instructor-led, live training in US (online or onsite) is designed for security and ML engineers who must identify, test for, and defend against attacks on ML models and LLM-powered applications.