GitHub Copilot for DevOps Automation and Productivity Training Course

GitHub Copilot is an AI-driven code completion assistant designed to boost development speed while enhancing code quality and overall productivity. When integrated with Artificial Intelligence applications in projects, infrastructure, and software systems, managers can harness AI to optimize resource distribution, streamline operational workflows, and strengthen decision-making processes.

This instructor-led live training, available online or onsite, targets advanced-level managers seeking to deepen their expertise in GitHub Copilot and explore practical AI applications within corporate settings. The curriculum includes examples pertinent to large-scale projects and sectors such as the oil and gas industry.

Upon completing this training, participants will be equipped to:

• Utilize advanced Copilot capabilities in large-scale corporate projects.
• Embed Copilot into multidisciplinary workflows to maximize efficiency.
• Leverage AI tools to enhance project management, infrastructure, and software procurement.
• Deploy AI-based strategies to refine planning, estimation, and time management.
• Identify practical AI applications in industry-specific contexts like oil and gas.

Course Format

• Interactive lectures and discussions.
• Practical exercises and case studies.
• Live laboratory demonstrations of AI tools and Copilot workflows.

Course Customization Options

• To arrange a customized training session for this course, please get in touch with us.

This instructor-led, live training in India (online or onsite) is designed for 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 swiftly advancing domain designed to meet the demands of contemporary, intricate IT environments, especially those leveraging cloud architectures. The AIOps Foundation course provides a thorough overview of the underlying concepts, technologies, and best practices associated with integrating artificial intelligence into IT operations.

The curriculum delves into the historical context of AIOps, its fundamental principles, essential tools, and the organizational hurdles IT teams often encounter when adopting these methodologies.

Upon completion, participants take an exam. Successfully passing this assessment awards the globally acknowledged AIOps Foundation certification, which remains valid for three years.

Who is this course for?

This programme is tailored for professionals and managers working 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 for anticipating incidents before they happen and automating root cause analysis (RCA) to cut down on downtime and speed up resolution times.

This instructor-led live training, available both online and onsite, is tailored for advanced IT professionals looking to implement predictive analytics, automate remediation processes, and design smart RCA workflows using AIOps tools and machine learning models.

Upon completing this training, participants will be equipped to:

• Construct and train machine learning models to identify patterns that lead to system failures.
• Automate RCA workflows by correlating data from multiple sources, including logs and metrics.
• Seamlessly integrate alerting and remediation processes into existing platforms.
• Deploy and scale intelligent AIOps pipelines within production environments.

Course Format

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

Course Customization Options

• For customized training requests for this course, please get in touch with us to make arrangements.

AIOps (Artificial Intelligence for IT Operations) represents a practice that leverages machine learning and analytics to automate and enhance IT operations, specifically in monitoring, incident detection, and response.

This instructor-led live training, available online or onsite, targets intermediate-level IT operations professionals who aim to implement AIOps techniques to correlate metrics and logs, minimize alert noise, and enhance observability through intelligent automation.

Upon completing this training, participants will be able to:

• Grasp the principles and architecture of AIOps platforms.
• Correlate data across logs, metrics, and traces to pinpoint root causes.
• Alleviate alert fatigue via intelligent filtering and noise suppression.
• Utilize open-source or commercial tools to monitor and respond to incidents automatically.

Course Format

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

Course Customization Options

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

Constructing an AIOps pipeline entirely with open-source tools empowers teams to create cost-efficient and adaptable solutions for monitoring, anomaly identification, and smart alerting within production settings.

This instructor-led, live training (available online or onsite) targets advanced engineers looking to build and implement a complete AIOps pipeline using 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 utilising only open-source components.
• Gather and standardize data from logs, metrics, and traces.
• Apply machine learning models to identify anomalies and forecast incidents.
• Automate alerting and remediation processes using open-source tooling.

Course Format

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

Customization Options

• For customized training arrangements for this course, please reach out to us.

This instructor-led, live training in India (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 offer robust functionalities for identifying anomalies, linking alerts, and automating remediation actions within expansive IT infrastructures.

This instructor-led live training (available online or onsite) targets intermediate-level enterprise IT professionals looking to incorporate AIOps solutions into their existing observability stacks and operational processes.

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

• Set up and integrate Splunk, Moogsoft, and Dynatrace into a cohesive AIOps framework.
• Correlate metrics, logs, and events across distributed systems using AI-driven analysis.
• Automate incident detection, prioritization, and response through built-in and custom workflows.
• Enhance performance, decrease MTTR, and boost operational efficiency at an enterprise scale.

Course Delivery Format

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

Customization Options

• To arrange a customized training session for this course, please get in touch with us.

This instructor-led, live training in India (online or onsite) is designed for beginner 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 India (online or onsite) is designed for intermediate to advanced participants who aim to optimize team workflows, improve collaborative coding practices, and effectively manage Copilot usage in multi-developer settings.

Upon completing this training, participants will be capable of:

• Configuring GitHub Copilot for team environments.
• Using Copilot to strengthen collaborative coding practices.
• Optimizing team workflows through Copilot’s capabilities.
• Managing Copilot’s integration within multi-developer projects.
• Ensuring consistent code quality and standards across teams.
• Leveraging advanced Copilot features tailored to team-specific requirements.
• Integrating Copilot with other collaborative tools for enhanced efficiency.

This instructor-led, live training in India (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 India (online or on-site) targets intermediate-level front-end developers who wish to use GitHub Copilot to automate repetitive coding tasks, improve UI/UX design, and streamline front-end workflows.

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

• Set up GitHub Copilot for front-end development projects.
• Leverage 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.
• Troubleshoot and debug front-end code using Copilot assistance.

This instructor-led, live training in India (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 industry-standard tools for ensuring observability in contemporary infrastructure. By integrating machine learning, these tools gain the ability to provide predictive and intelligent insights, thereby automating operational decisions.

This instructor-led live training, available both online and onsite, is designed for intermediate-level observability professionals aiming to modernize their monitoring infrastructure. The course focuses on integrating AIOps practices using Prometheus, Grafana, and machine learning techniques.

Upon completing this training, participants will be equipped to:

• Configure Prometheus and Grafana to ensure comprehensive observability across various systems and services.
• Collect, store, and visualize high-quality time-series data effectively.
• Apply machine learning models for effective anomaly detection and forecasting.
• Develop intelligent alerting rules driven by predictive insights.

Course Format

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

Customization Options

• For customized training requests for this course, please reach out to us to make arrangements.

This instructor-led live training in India (online or onsite) is designed for intermediate-level participants who want to utilise GitHub Copilot to manage complex coding use cases, boost productivity, and seamlessly integrate Copilot into their development workflows.

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

• Optimise their utilisation of GitHub Copilot for advanced coding tasks.
• Write more efficient, error-free, and maintainable code using Copilot suggestions.
• Integrate GitHub Copilot into their preferred IDEs and workflows.
• Utilise Copilot for debugging and code refactoring.
• Understand the limitations and ethical considerations of using AI-powered coding tools.