LLMs and Agents in DevOps Workflows Training Course

Google Antigravity serves as an agentic development environment tailored for creating autonomous agents that can plan, reason, code, and execute actions leveraging Gemini 3’s multimodal capabilities.

This instructor-led, live training (available online or onsite) targets advanced technical professionals aiming to design, build, and deploy autonomous agents using Gemini 3 and the Antigravity ecosystem.

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

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

Course Format

• Expert demonstrations paired with interactive discussions.
• Hands-on experimentation focused on autonomous agent development.
• Practical implementation utilizing 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.

Google Antigravity serves as an advanced framework designed for experimenting with persistent agents and emerging interactive behaviors.

This instructor-led live training, available online or onsite, targets advanced professionals who aim to design, analyze, and optimize agents capable of retaining memories, refining their performance through feedback, and evolving over extended operational timelines.

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

• Design memory structures that ensure long-term agent persistence.
• Implement robust feedback loops to influence agent behavior.
• Assess learning trajectories and monitor model drift.
• Integrate memory mechanisms within complex multi-agent ecosystems.

Course Format

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

Customization Options

• For organizations requiring tailored content or case-specific examples, please contact us to customize this training.

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

This instructor-led live training, available either online or onsite, targets intermediate-level engineers who aim to create reliable, secure, and scalable integrations between Mastra agents and the wider enterprise ecosystem.

Upon completing this training, participants will be equipped to:

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

Course Format

• Interactive lectures and discussions.
• Hands-on engineering exercises focused on integration and APIs.
• Live lab implementation using real-world enterprise scenarios.

Customization Options

• Custom API scenarios, enterprise system mappings, or data-integration workshops can be provided upon request.

AIOps (Artificial Intelligence for IT Operations) is becoming a standard approach 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 either online or onsite, targets advanced IT professionals looking to implement predictive analytics, automate remediation processes, and design intelligent RCA workflows using AIOps tools and machine learning models.

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

• Developing and training ML models to identify patterns that precede system failures.
• Automating RCA workflows through the correlation of logs and metrics from multiple sources.
• Embedding alerting and remediation processes into current platforms.
• Deploying and scaling intelligent AIOps pipelines within production environments.

Course Format

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

Customization Options

• For a customized version of this course, please reach out to us to arrange your requirements.

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

This instructor-led live training, available both online and onsite, targets intermediate IT operations professionals seeking to apply AIOps techniques to correlate metrics and logs, minimize alert noise, and enhance observability via intelligent automation.

Upon completing this training, participants will be capable of:

• Grasping the core principles and architecture of AIOps platforms.
• Correlating data from logs, metrics, and traces to pinpoint root causes.
• Mitigating alert fatigue through intelligent filtering and noise suppression.
• Leveraging open-source or commercial tools to automate monitoring and incident response.

Course Format

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

Course Customization Options

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

An AIOps pipeline developed exclusively with open-source tools empowers teams to create cost-efficient and adaptable solutions for observability, anomaly detection, and intelligent alerting within production environments.

This instructor-led, live training session (available online or onsite) is designed for advanced-level engineers seeking to construct 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 capable of:

• Architecting an AIOps framework using solely open-source components.
• Gathering and standardizing data derived from logs, metrics, and traces.
• Implementing machine learning models to identify anomalies and forecast incidents.
• Automating alerting and remediation processes using open-source tooling.

Course Format

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

Course Customization Options

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

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

Format of the Course

• Blended presentations with in-depth demonstrations.
• Extensive hands-on practice and guided exercises.
• Real implementation work inside the Antigravity live environment.

Course Customization Options

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

Google Antigravity represents a new generation of agent-centric development environments, engineered to optimize engineering processes through intelligent automation.

This live, instructor-led training (available online or at your location) is designed for beginners looking to grasp the fundamentals of Antigravity and discover how agent-driven coding environments can significantly boost productivity.

After completing this course, participants will be equipped to:

• Install and set up Google Antigravity.
• Navigate and comprehend both the Editor View and Manager View.
• Collaborate effectively with agents to automate routine development tasks.
• Leverage Antigravity to generate, refine, and organize project files.

Course Format

• Instructor-led explanations accompanied by real-time demonstrations.
• Guided, hands-on exercises focused on practical agent usage.
• Practical exploration of core Antigravity features within a controlled lab environment.

Customization Options

• Need a version tailored to your specific needs? Please contact us to arrange a customized program.

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

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.

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

• Create agents that interact with web applications in a browser surface.
• Automate end-to-end workflows across browser contexts.
• Validate and troubleshoot agent behavior in UI-driven environments.
• Implement cross-surface automation strategies using Antigravity.

Course Format

• Guided instruction supported by 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 objectives.

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 (available online or onsite) is designed for intermediate-level enterprise IT teams seeking to integrate AIOps tools into their existing observability stack and operational workflows.

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 MTTR, and improve operational efficiency at enterprise scale.

Format of the Course

• Interactive lecture and discussion.
• Lots of 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.

Prometheus and Grafana are extensively used tools for maintaining observability in modern infrastructure, while machine learning augments these platforms with predictive and intelligent insights to automate operational decisions.

This instructor-led, live training (available online or onsite) targets intermediate-level observability professionals seeking to modernize their monitoring infrastructure by integrating AIOps practices through Prometheus, Grafana, and ML techniques.

Upon completing this training, participants will be capable of:

• Configuring Prometheus and Grafana to ensure observability across various systems and services.
• Collecting, storing, and visualizing high-quality time series data.
• Applying machine learning models for anomaly detection and forecasting.
• Developing intelligent alerting rules derived from predictive insights.

Format of the Course

• Interactive lecture and discussion.
• Extensive exercises and practice sessions.
• Hands-on implementation within a live-lab environment.

Course Customization Options

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

This live training session, conducted by an instructor either online or onsite, is designed for intermediate software developers and engineering teams looking to build scalable and observable AI systems using Mastra.

Upon completing this training, participants will gain the ability to:

• Grasp Mastra’s architectural structure and its integration mechanisms with Large Language Models (LLMs) and external APIs.
• Architect and implement AI agents and workflows using TypeScript.
• Leverage Mastra’s observability and memory capabilities to track and enhance agent performance.
• Deploy production-grade AI applications by exploiting the framework’s robust features.

Mastra is a framework that offers 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 who want 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 correct 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 to ensure consistent and predictable agent performance.

Course Format

• Interactive lectures and discussions.
• Hands-on debugging and evaluation exercises.
• 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, supervise, and coordinate AI-driven coding and automation processes.

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

By the end of this training, participants will be equipped with 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 maintain transparency and auditability in agent actions.
• Optimize multi-agent collaboration for complex development and operational tasks.

Course Format

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

Course Customization Options

• For a tailored version of this course, please contact us to discuss customization possibilities.

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

This instructor-led, live training (available online or onsite) targets intermediate to advanced professionals who want to verify, validate, and secure the outputs generated by AI agents operating within Antigravity-driven environments.

After completing this training, participants will be able to:

• Evaluate the accuracy and safety of code artifacts produced by agents.
• Employ structured methods to verify tasks executed by agents.
• Analyze browser recordings and effectively trace agent activity.
• Apply QA and security principles to ensure the reliability of agent workflows.

Course Format

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

Course Customization Options

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