LLMs and Agents in DevOps Workflows Training Course

Google Antigravity is a development environment designed for government 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 advanced-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:

• Build autonomous workflows that leverage Gemini 3 for reasoning, planning, and execution in public sector environments.
• Develop agents in Antigravity that can analyze tasks, write code, and interact with tools to support government operations.
• Integrate Gemini-driven agents with enterprise systems and APIs used by government agencies.
• Optimize agent behavior, safety, and reliability in complex government environments.

Format of the Course

• Expert demonstrations combined with interactive discussions to align with public sector needs.
• Hands-on experimentation with autonomous agent development for government use cases.
• Practical implementation using Antigravity, Gemini 3, and supporting cloud tools tailored for government workflows.

Course Customization Options

• If your team requires domain-specific agent behaviors or custom integrations for government operations, please contact Govtra to tailor the program.

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

This instructor-led, live training (online or onsite) 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 training aligns with the needs of public sector workflows, governance, and accountability for government.

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

• Design long-term memory structures to ensure agent persistence.
• Implement effective feedback loops to refine agent behavior.
• Evaluate learning trajectories and address model drift.
• Integrate memory mechanisms into complex multi-agent systems.

Format of the Course

• Expert-led discussions complemented by technical demonstrations.
• Hands-on exploration through structured design challenges.
• Application of concepts to simulated agent environments.

Course Customization Options

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

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.

Antigravity is a development platform designed to build AI-driven, agent-first applications for government.

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

After completing this training, participants will be equipped to:

• Develop applications that rely on autonomous and coordinated AI agents for government.
• Use the Antigravity IDE, editor, terminal, and browser for end-to-end development for government projects.
• Manage multi-agent workflows with the Agent Manager to enhance public sector workflows.
• Integrate agent capabilities into production-grade software systems for government use.

Format of the Course

• Blended presentations with in-depth demonstrations tailored to public sector needs.
• Extensive hands-on practice and guided exercises aligned with government requirements.
• Real implementation work inside the Antigravity live environment, focusing on government applications.

Course Customization Options

• For tailored content aligned with your development stack and specific public sector requirements, please contact us to arrange a customized version of this training for government.

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

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 can improve productivity in public sector operations.

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

• Install and configure Google Antigravity for government use.
• Navigate and understand both the Editor View and Manager View within the context of public sector workflows.
• Work effectively with agents to automate simple development tasks, enhancing efficiency and accuracy in government projects.
• Use Antigravity to generate, refine, and manage project files, ensuring compliance with governmental standards and protocols.

Format of the Course

• Instructor explanations supported by real-time demonstrations tailored for government applications.
• Guided exercises focused on hands-on use of agents, with a specific emphasis on public sector scenarios.
• Practical exploration of core Antigravity features in a controlled lab environment designed to simulate government workflows.

Course Customization Options

• If you require a tailored version of this training for government, please contact us to arrange a customized program that aligns with specific public sector needs.

Google Antigravity is a platform designed for building agents capable of interacting with web applications, browser environments, and multi-surface workflows.

This instructor-led, live training (online or onsite) is aimed at intermediate-level professionals who wish to build, automate, and test browser-based workflows using Google Antigravity for government applications.

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

• Develop agents that interact with web applications within a browser environment.
• Automate end-to-end workflows across various browser contexts.
• Validate and troubleshoot agent behavior in user interface-driven environments.
• Implement cross-surface automation strategies using Google Antigravity.

Format of the Course

• Guided instruction supported by practical demonstrations.
• Hands-on activities and scenario-based exercises to reinforce learning.
• Interactive lab environment for implementing agent workflows.

Course Customization Options

• For customized training requirements, please contact us to tailor the course to your specific objectives for government use.

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.

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 (online or onsite) is aimed at intermediate-level software developers and engineering teams who wish to build scalable, observable AI systems using Mastra for government.

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

• Understand Mastra’s architecture and how it integrates with language models and external APIs.
• Design and implement AI agents and workflows using TypeScript for government applications.
• Utilize Mastra’s observability and memory tools to monitor and enhance agent performance in public sector environments.
• Deploy production-ready AI applications leveraging Mastra’s framework features, ensuring alignment with public sector workflows and governance.

Mastra is an operational framework designed to streamline the deployment, scaling, and lifecycle management of AI agents in production environments for government.

This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level technical professionals who need to operationalize AI agents reliably and efficiently across production systems for government.

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

• Deploy Mastra-based AI agents into controlled, production-grade environments for government.
• Scale agents horizontally and vertically using platform-native primitives for government.
• Implement observability pipelines to track agent behavior and performance for government.
• Optimize runtime configurations to reduce latency, costs, and operational risks for government.

Format of the Course

• Interactive lecture and discussion for government.
• Hands-on exercises focused on real deployment scenarios for government.
• Live-lab implementation using containerized and orchestrated environments for government.

Course Customization Options

• Customization of topics, hands-on labs, or industry-specific scenarios is available upon request for government.

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 (online or onsite) is aimed at intermediate-level professionals who wish 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 within the Manager interface.
• Generate and interpret Antigravity artifacts, including task lists, plans, logs, and browser recordings.
• Implement verification strategies to ensure agent actions remain transparent and auditable for government.
• 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 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.

Antigravity is a framework designed for 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.

Upon completing this training, participants will be able to:

• Evaluate the accuracy and safety of code artifacts produced by agents.
• Utilize structured methods to verify tasks executed by 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

• Adaptation of scenarios, workflows, and testing examples is available upon request to better align with specific needs for government applications.