LLMs and Agents in DevOps Workflows Training Course

Google Antigravity is an agentic development environment engineered to construct autonomous agents capable of planning, reasoning, coding, and acting by leveraging the multimodal capabilities of Gemini 3.

This instructor-led, live training (available online or onsite) is tailored for advanced-level technical professionals who aim to design, build, and deploy autonomous agents utilizing Gemini 3 within the Antigravity environment.

Upon completing this training, participants will be equipped to:

• Construct autonomous workflows that employ Gemini 3 for reasoning, planning, and execution.
• Develop agents in Antigravity capable of analyzing tasks, writing code, and interacting with tools.
• Integrate Gemini-driven agents with enterprise systems and APIs.
• Enhance agent behavior, safety, and reliability within complex environments.

Course Format

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

Customization Options

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

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

This instructor-led live training, available online or onsite, targets advanced professionals seeking to design, analyze, and optimize agents capable of retaining memories, improving through feedback, and evolving over extended operational lifespans.

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

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

Course Format

• 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.

Mastra serves as a framework designed to facilitate deep integration between AI agents, APIs, enterprise applications, and external data systems.

This instructor-led live training, available both online and onsite, targets intermediate-level engineers aiming to construct reliable, secure, and scalable integrations between Mastra agents and the broader enterprise ecosystem.

Upon completing this training, participants will be equipped to:

• Implement API-driven integrations linking Mastra agents with external services.
• Connect enterprise data systems and tools to automated agent workflows.
• Apply best practices for secure data exchange and authentication.
• Design scalable, maintainable, and production-ready integration layers.

Course Format

• Interactive lectures and discussions.
• Hands-on exercises in integration engineering and API development.
• Live-lab implementations utilizing real-world enterprise scenarios.

Customization Options

• Custom API scenarios, enterprise system mappings, or data-integration workshops are available upon request.

AIOps (Artificial Intelligence for IT Operations) is gaining traction as a method to anticipate incidents before they happen and automate root cause analysis (RCA), thereby reducing downtime and speeding up resolution times.

This instructor-led live training (available online or onsite) targets advanced IT professionals looking to deploy predictive analytics, automate remediation processes, and design intelligent RCA workflows using AIOps tools and machine learning models.

Upon completing this training, participants will be able to:

• Construct and train machine learning models to identify patterns that precede system failures.
• Automate RCA workflows by correlating logs and metrics from multiple sources.
• Embed alerting and remediation processes into current 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 laboratory environment.

Customization Options

• To arrange customized training for this course, please reach out to us.

AIOps (Artificial Intelligence for IT Operations) is a methodology that leverages machine learning and analytics to automate and enhance IT operations, with a specific focus on monitoring, incident detection, and response capabilities.

This instructor-led training, available either online or onsite, is designed for intermediate IT operations professionals looking to apply AIOps techniques. Participants will learn to correlate metrics and logs, minimize alert noise, and boost observability through intelligent automation.

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

• Grasp the core 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.
• Extensive 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 arrange.

An AIOps pipeline developed entirely with open-source tools empowers teams to craft flexible and cost-efficient solutions for monitoring, identifying anomalies, and managing intelligent alerts in production environments.

This instructor-led live training (available online or onsite) targets advanced engineers looking to build and deploy a comprehensive AIOps pipeline utilizing 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 relying exclusively on 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 within a live laboratory environment.

Customization Options

• To request customized training for this course, please get in touch to arrange it.

Antigravity serves as a specialized development platform engineered to create AI-driven, agent-first applications.

This instructor-led live training, available either online or onsite, is tailored for intermediate developers aiming to build practical applications using autonomous AI agents within the Antigravity ecosystem.

Upon completing this training, participants will be able to:

• Build applications leveraging autonomous and coordinated AI agents.
• Utilize the Antigravity IDE, editor, terminal, and browser for comprehensive end-to-end development.
• Oversee multi-agent workflows through the Agent Manager.
• Seamlessly integrate agent capabilities into robust, production-grade software systems.

Course Format

• A blend of presentations with detailed, in-depth demonstrations.
• Extensive hands-on practice accompanied by guided exercises.
• Practical implementation work conducted within the Antigravity live environment.

Customization Options

• For content tailored to your specific development stack, please reach out to us to arrange a customized training version.

Google Antigravity is an agent-centric development environment crafted to optimize engineering workflows via intelligent automation.

This instructor-led, live training session (available online or on-site) is designed for beginner-level professionals looking to discover the fundamentals of Antigravity and grasp how agent-driven coding setups boost productivity.

After completing this training, participants will be able to:

• Install and set up Google Antigravity.
• Navigate and comprehend both the Editor View and Manager View.
• Collaborate efficiently with agents to automate basic development tasks.
• Utilize Antigravity to generate, refine, and manage project files.

Course Format

• Guided exercises centered on practical agent usage.
• Hands-on exploration of core Antigravity features in a controlled lab setting.

Course Customization Options

• For a customized version of this training, please reach out to us to arrange a tailored program.

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

This instructor-led training, available online or on-site, targets intermediate-level professionals aiming to build, automate, and test browser-based workflows using Google Antigravity.

Upon completing the training, participants will be equipped to:

• Develop agents capable of interacting with web applications within a browser interface.
• Automate end-to-end workflows across various browser contexts.
• Validate and troubleshoot agent behavior within UI-driven environments.
• Implement cross-surface automation strategies utilizing Antigravity.

Course Format

• Guided instruction accompanied by live demonstrations.
• Practical, hands-on activities and scenario-based exercises.
• Implementation of agent workflows in an interactive lab environment.

Customization Options

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

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

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

Upon completion 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 through built-in and custom workflows.
• Optimize performance, reduce MTTR, and enhance operational efficiency at an enterprise scale.

Course Format

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

Course Customization Options

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

Prometheus and Grafana are industry-standard tools for achieving observability in contemporary infrastructure. By integrating machine learning, these platforms gain the ability to provide predictive and intelligent insights, enabling the automation of 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 through the use of Prometheus, Grafana, and machine learning techniques.

Upon completion of this training, participants will be capable of:

• Configuring Prometheus and Grafana to ensure comprehensive observability across various systems and services.
• Collecting, storing, and visualizing high-fidelity time series data.
• Implementing machine learning models for anomaly detection and forecasting.
• Developing intelligent alerting rules driven by predictive insights.

Course Format

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

Customization Options

• To request a customized version of this course, please contact us to arrange.

This live, instructor-led training (available online or onsite) targets intermediate software developers and engineering teams looking to construct scalable, observable AI systems using Mastra.

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

• Comprehend Mastra’s architecture and its integration with LLMs and external APIs.
• Design and implement AI agents and workflows using TypeScript.
• Utilize Mastra’s observability and memory tools to monitor and enhance agent performance.
• Deploy production-ready AI applications by leveraging Mastra’s framework capabilities.

Mastra is a framework offering structured tools to evaluate, debug, and ensure the reliability of AI agents operating within complex workflows.

This instructor-led live training (available online or onsite) is designed for intermediate-level practitioners seeking to rigorously test agent behavior, enhance reliability, and implement measurable evaluation processes.

Upon completing this training, participants will be able to confidently:

• Apply debugging techniques to identify and resolve issues in agent behavior.
• Evaluate agents using structured metrics, benchmarks, and quality scores.
• Implement tooling and workflows to track reliability, drift, and hallucinations.
• Design QA strategies that guarantee consistent and predictable agent performance.

Course Format

• Interactive lectures and discussions.
• Hands-on exercises for debugging and evaluation.
• Live-lab analysis of agent behaviors using observability tools.

Course Customization Options

• Customized reliability testing scenarios and industry-specific QA methods can be arranged upon request.

Google Antigravity serves as an agent-centric development platform designed to orchestrate, oversee, and coordinate AI-powered coding and automation workflows.

This instructor-led live training, available online or onsite, targets intermediate-level professionals looking to design, manage, and optimize multi-agent workflows within the Google Antigravity ecosystem.

Upon completing this course, participants will acquire the skills necessary 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 remain transparent and fully auditable.
• Optimize multi-agent collaboration for complex development and operational tasks.

Course Format

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

Course Customization Options

• For a customized version of this course, please contact us to discuss specific requirements.

Antigravity is a framework that facilitates advanced, agent-driven development workflows.

This instructor-led live training, available online or onsite, is designed for intermediate to advanced professionals seeking to verify, validate, and secure the outputs produced by AI agents operating within Antigravity environments.

Upon completing this training, participants will be able to:

• Evaluate the accuracy and safety of code artifacts generated by agents.
• Employ structured techniques to verify tasks executed by agents.
• Analyze browser recordings and trace agent activities with precision.
• Apply quality assurance and security principles to ensure the reliability of agent-driven workflows.

Course Format

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

Customization Options

• Adaptation of scenarios, workflows, and testing examples is available upon request.