LLMs and Agents in DevOps Workflows Training Course

Google Antigravity is a development environment tailored for creating autonomous agents that can plan, reason, code, and act using Gemini 3’s multimodal capabilities.

This instructor-led, live training (available online or on-site) is designed for advanced technical professionals who aim to design, build, and deploy autonomous agents using Gemini 3 and the Antigravity environment.

Upon completing this training, participants will be equipped to:

• Develop autonomous workflows that leverage Gemini 3 for reasoning, planning, and execution.
• Create agents in Antigravity that can analyze tasks, write code, and interact with various tools.
• Integrate Gemini-driven agents into enterprise systems and APIs.
• Optimize the behavior, safety, and reliability of agents 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 needs domain-specific agent behaviors or custom integrations, please contact us to tailor the program.

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

This instructor-led, live training (available online or on-site) is aimed at advanced professionals who want to design, analyze, and optimize agents that can retain memories, improve through feedback, and evolve over extended operational periods.

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

• Design long-term memory structures for agent persistence.
• Implement effective feedback mechanisms to influence agent behavior.
• Evaluate learning paths and model drift.
• Integrate memory systems into complex multi-agent environments.

Format of the Course

• Expert-led discussions combined with technical demonstrations.
• Hands-on exploration through structured design challenges.
• Application of concepts in simulated agent environments.

Course Customization Options

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

AIOps (Artificial Intelligence for IT Operations) is increasingly being utilized to predict incidents before they happen and automate root cause analysis (RCA) to minimize downtime and speed up resolution.

This instructor-led, live training (available online or on-site) is designed for advanced-level IT professionals who want to implement predictive analytics, automate remediation processes, and design intelligent RCA workflows using AIOps tools and machine learning models.

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

• Develop and train machine learning models to identify patterns that lead to system failures.
• Automate RCA workflows by correlating logs and metrics from multiple sources.
• Integrate alerting and remediation processes into existing platforms.
• Deploy and scale intelligent AIOps pipelines in production environments.

Format of the Course

• Interactive lectures and discussions.
• 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.

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 (available online or on-site) is designed for intermediate-level IT operations professionals who want 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:

• Grasp the principles and architecture of AIOps platforms.
• Correlate data from logs, metrics, and traces to pinpoint root causes.
• Minimize alert fatigue through intelligent filtering and noise reduction.
• Utilize open-source or commercial tools for automated monitoring and incident response.

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 wish to build and deploy a complete 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 leveraging 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-source tools.

Format of the Course

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

Course Customization Options

• For a customized training for this course, please contact us to arrange.

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

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

Format of the Course

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

Course Customization Options

• For content tailored to your specific development stack, please contact us to arrange a customized version of this training.

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

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.

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

• Install and configure Google Antigravity.
• Navigate and understand both the Editor View and Manager View.
• Work effectively with agents to automate simple development tasks.
• Use Antigravity to generate, refine, and manage project files.

Format of the Course

• Instructor explanations supported by real-time demonstrations.
• Guided exercises focused on hands-on use of agents.
• Practical exploration of core Antigravity features in a controlled lab environment.

Course Customization Options

• If you require a tailored version of this training, please contact us to arrange a customized program.

Google Antigravity is a platform designed for creating agents that can interact with web applications, browser environments, and multi-surface workflows.

This instructor-led, live training (available online or on-site) is targeted at intermediate-level professionals who want to build, automate, and test browser-based workflows using Google Antigravity.

Upon completing the training, participants will be able to:

• Develop agents that can engage with web applications within a browser environment.
• Automate comprehensive workflows across different browser contexts.
• Validate and troubleshoot agent behavior in user interface-driven settings.
• Implement cross-surface automation strategies using Antigravity.

Format of the Course

• Guided instruction complemented 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 needs, please contact us to tailor the course to your specific objectives.

Enterprise AIOps platforms such as Splunk, Moogsoft, and Dynatrace offer robust features for identifying anomalies, correlating alerts, and automating responses in large-scale IT environments.

This instructor-led, live training (available online or onsite) is designed for intermediate-level enterprise IT teams who are looking to integrate AIOps tools into their existing observability stack and operational workflows.

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

• Set up and integrate Splunk, Moogsoft, and Dynatrace into a cohesive AIOps architecture.
• Use AI-driven analysis to correlate metrics, logs, and events across distributed systems.
• Automate incident detection, prioritization, and response through both built-in and custom workflows.
• Enhance performance, reduce mean time to resolution (MTTR), and improve operational efficiency at an enterprise level.

Format of the Course

• Interactive lectures and discussions.
• 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 used tools for observability in modern infrastructure. Integrating machine learning with these tools enhances their capabilities by providing predictive and intelligent insights, which can automate operations decisions.

This instructor-led, live training (available online or on-site) is designed for intermediate-level observability professionals who want to modernize their monitoring systems by incorporating 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 various systems and services.
• Collect, store, and visualize high-quality time series data effectively.
• Apply machine learning models for anomaly detection and forecasting to enhance monitoring.
• Create intelligent alerting rules based on predictive insights to improve operational efficiency.

Format of the Course

• Interactive lectures and discussions.
• Numerous exercises and practical 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 (online or onsite) is aimed at intermediate-level software developers and engineering teams who wish to build scalable, observable AI systems using Mastra.

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

• Understand Mastra’s architecture and how it integrates with LLMs and external APIs.
• Design and implement AI agents and workflows using TypeScript.
• Use Mastra’s observability and memory tools to monitor and improve agent performance.
• Deploy production-ready AI applications leveraging Mastra’s framework features.

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

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

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

• Deploy Mastra-based AI agents into controlled, production-grade environments.
• Scale agents both horizontally and vertically using platform-native tools.
• Implement observability pipelines to monitor agent behavior and performance.
• Optimize runtime configurations to minimize latency, costs, and operational risks.

Format of the Course

• Interactive lectures and discussions.
• Hands-on exercises focused on real-world deployment scenarios.
• Live-lab implementation using containerized and orchestrated environments.

Course Customization Options

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

Mastra is a framework that enables sophisticated workflow automation and coordination among multiple AI agents operating in distributed systems.

This instructor-led, live training (online or onsite) is designed for intermediate-level practitioners who wish to design, orchestrate, and manage multi-agent workflows at scale.

By completing this training, participants will gain the skills to:

• Design complex workflows using Mastra’s powerful orchestration capabilities.
• Coordinate multiple agents performing tasks in parallel or with dependencies.
• Implement monitoring and debugging tools for efficient workflow execution.
• Optimize orchestration logic to enhance reliability, throughput, and automation efficiency.

Format of the Course

• Interactive lectures and discussions.
• Hands-on exercises for workflow design and automation.
• Practical implementation in a containerized live-lab environment.

Course Customization Options

• Customized automation scenarios, enterprise integrations, or workflow patterns can be provided upon request.

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

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 the Google Antigravity environment.

Upon completing this training, participants will acquire the skills to:

• Set up agent responsibilities and orchestration pipelines using the Manager interface.
• Create and analyze Antigravity artifacts such as task lists, plans, logs, and browser recordings.
• Implement verification methods to ensure that agent actions are transparent and auditable.
• Enhance multi-agent collaboration for complex development and operational tasks.

Format of the Course

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

Course Customization Options

• If you need a customized version of this course, please contact us to discuss your specific requirements.

Antigravity is a framework that represents advanced agent-driven development processes.

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 working 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 activities.
• 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 validating real-world agent workflows.
• Hands-on testing and validation within a controlled lab environment.

Course Customization Options

• Scenarios, workflows, and testing examples can be adapted upon request.