LLMs and Agents in DevOps Workflows Training Course

Google Antigravity is an advanced development environment designed to build autonomous agents capable of planning, reasoning, coding, and acting through Gemini 3’s multimodal capabilities.

This instructor-led, live training (online or onsite) is aimed at high-level technical professionals who wish to design, build, and deploy autonomous agents using Gemini 3 and the Antigravity environment for government applications.

Upon completing this training, participants will be prepared to:

• Construct autonomous workflows that leverage Gemini 3 for reasoning, planning, and execution.
• Develop agents in Antigravity that can analyze tasks, write code, and interact with tools.
• Integrate Gemini-driven agents with enterprise systems and APIs.
• Enhance agent behavior, safety, and reliability in complex environments.

Format of the Course

• Expert demonstrations paired with interactive discussions.
• Hands-on experimentation with autonomous agent development.
• Practical implementation using Antigravity, Gemini 3, and supporting cloud tools.

Course Customization Options

• If your team requires domain-specific agent behaviors or custom integrations, please contact us to tailor the program to meet your specific needs.

Google Antigravity is an advanced framework designed for experimentation with long-lived agents and emergent interactive behaviors.

This instructor-led, live training (available online or on-site) is aimed at advanced-level professionals who wish to design, analyze, and optimize agents capable of retaining memories, improving through feedback, and evolving over extended operational periods. The course is particularly relevant for government agencies seeking to enhance their capabilities in this domain.

Upon completing this course, participants will gain the skills to:

• Design long-term memory structures for agent persistence.
• Implement effective feedback loops to shape agent behavior.
• Evaluate learning trajectories and model drift.
• Integrate memory mechanisms into complex multi-agent ecosystems.

Format of the Course

• Expert-led discussion paired with technical demonstrations.
• Hands-on exploration through structured design challenges.
• Application of concepts to simulated agent environments.

Course Customization Options for Government

• If your organization requires tailored content or case-specific examples, please contact us to customize this training to meet your specific needs.

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.

Antigravity is a development platform designed for building AI-driven, agent-first applications.

This instructor-led, live training (available online or on-site) is aimed at intermediate-level developers who wish to create real-world applications using autonomous AI agents within the Antigravity environment.

Upon completing this training, participants will be equipped to:

• Develop applications that rely on autonomous and coordinated AI agents.
• Utilize the Antigravity IDE, editor, terminal, and browser for comprehensive development processes.
• Manage multi-agent workflows using the Agent Manager.
• Integrate agent capabilities into production-grade software systems.

Format of the Course

• A combination of presentations and detailed demonstrations.
• Extensive hands-on practice and guided exercises.
• Practical implementation work within the live Antigravity environment.

Course Customization Options

• For tailored content aligned with your specific development stack, please contact us to arrange a customized version of this training for government or organizational needs.

Google Antigravity is an agent-first development environment designed to streamline engineering workflows through intelligent automation for government use.

This instructor-led, live training (online or onsite) is aimed at beginner-level practitioners who wish to explore the fundamentals of Antigravity and understand how agent-driven coding environments enhance productivity in a public sector context.

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

• Install and configure Google Antigravity for government systems.
• Navigate and understand both the Editor View and Manager View within the platform.
• Work effectively with agents to automate simple development tasks in a government setting.
• Use Antigravity to generate, refine, and manage project files for government projects.

Format of the Course

• Instructor explanations supported by real-time demonstrations tailored to public sector workflows.
• Guided exercises focused on hands-on use of agents in a government context.
• Practical exploration of core Antigravity features in a controlled lab environment that simulates government scenarios.

Course Customization Options

• If you require a tailored version of this training to better align with specific government needs, please contact us to arrange a customized program.

Google Antigravity is a platform designed for building agents capable of interacting with web applications, browser environments, and multi-surface workflows for government. This instructor-led, live training (available online or onsite) is aimed at intermediate-level professionals who wish to build, automate, and test browser-based workflows using Google Antigravity for government. Upon completion of the training, participants will be able to: - Create agents that interact with web applications in a browser environment. - Automate end-to-end workflows across various browser contexts. - Validate and troubleshoot agent behavior in UI-driven environments. - Implement cross-surface automation strategies using Antigravity for government. **Format of the Course** - Guided instruction supported by demonstrations. - Practical, hands-on activities and scenario-based exercises. - Implementation of agent workflows in an interactive lab environment. **Course Customization Options** - For customized training requirements, please contact us to tailor the course to your specific objectives for government.

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.

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.

Google Antigravity is an agent-centric development platform designed to orchestrate, supervise, and coordinate AI-driven coding and automation workflows for government.

This instructor-led, live training (available online or onsite) is targeted at intermediate-level professionals who aim to design, manage, and optimize multi-agent workflows within Google Antigravity.

Upon completion of this training, participants will gain the skills to:

• Configure agent responsibilities and orchestration pipelines using the Manager interface.
• Generate and interpret Antigravity artifacts, such as task lists, plans, logs, and browser recordings.
• Implement verification strategies to ensure that agent actions are transparent and auditable.
• Optimize multi-agent collaboration for complex development and operational tasks.

Format of the Course

• Guided presentations and practical demonstrations.
• Scenario-based exercises focused on real-world workflow challenges.
• Hands-on experimentation within a live Antigravity workspace.

Course Customization Options

• If you require a tailored version of this course, please contact us to discuss customization options for government use.

Antigravity is a framework designed to support advanced agent-driven development workflows.

This instructor-led, live training (online or onsite) is aimed at intermediate to advanced professionals who wish to verify, validate, and secure the output generated by AI agents operating within Antigravity-driven environments for government use.

Upon completing this training, participants will be able to:

• Evaluate the accuracy and safety of code artifacts produced by AI agents.
• Employ structured techniques to verify tasks executed by AI agents.
• Effectively analyze browser recordings and trace agent activity.
• Apply quality assurance and security principles to ensure the reliability of agent workflows.

Format of the Course

• Instructor-guided technical briefings and discussions.
• Practical exercises focused on verifying real-world agent workflows.
• Hands-on testing and validation within a controlled laboratory environment.

Course Customization Options

• Scenarios, workflows, and testing examples can be tailored to specific needs upon request.