LLMs and Agents in DevOps Workflows Training Course

Google Antigravity is an agentic development environment crafted 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.

Upon finishing this training, participants will be prepared to:

• Build autonomous workflows that use 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.
• Optimize agent behavior, safety, and reliability in complex environments.

Format of the Course

• Expert demonstrations combined 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.

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

This instructor-led training, available both online and onsite, targets advanced professionals seeking 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 acquire 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

• If your organization requires 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 online or onsite) is tailored for intermediate-level engineers looking to build 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 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 integration layers that are scalable, maintainable, and ready for production.

Course Format

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

Course Customization Options

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

AIOps (Artificial Intelligence for IT Operations) is increasingly being adopted to forecast incidents before they happen and to automate root cause analysis (RCA), thereby reducing downtime and speeding up resolution times.

This live, instructor-led training (available online or on-site) is designed for advanced IT professionals who want 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 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 within production environments.

Course Format

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

Customization Options for the Course

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

AIOps (Artificial Intelligence for IT Operations) is a discipline that leverages machine learning and advanced analytics to automate and enhance IT operations, specifically within monitoring, incident detection, and response workflows.

This instructor-led training, available both online and onsite, is designed for intermediate IT operations professionals who want to adopt AIOps techniques 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.
• Ample exercises and practical sessions.
• Hands-on implementation within a live-lab environment.

Customization Options

• For tailored training on this course, please reach out to us to make arrangements.

Constructing an AIOps pipeline entirely with open-source tools empowers teams to create flexible and cost-efficient solutions for monitoring, detecting anomalies, and managing intelligent alerts in production environments.

This instructor-led live training, available both online and onsite, targets advanced-level engineers eager to build and deploy a complete AIOps pipeline. The course utilizes tools such as Prometheus, ELK, Grafana, and custom machine learning models.

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

• Architect an AIOps solution using exclusively open-source components.
• Gather and standardize data from logs, metrics, and traces.
• Implement machine learning models to identify anomalies and forecast incidents.
• Automate alerting and remediation processes using open tools.

Course Format

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

Customization Options

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

Antigravity serves as a development platform tailored for creating AI-driven, agent-first applications.

This instructor-led live training, available online or onsite, is designed for intermediate developers looking to build real-world applications using autonomous AI agents within the Antigravity ecosystem.

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

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

Course Format

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

Course Customization Options

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

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

This instructor-led, live training (online or onsite) targets 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 serves as a robust platform for developing agents that interact seamlessly with web applications, browser environments, and multi-surface workflows.

This instructor-led live training, available either online or onsite, is designed for intermediate-level professionals aiming to build, automate, and test browser-based workflows using Google Antigravity.

After completing this 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 performance in UI-driven environments.
• Implement automation strategies that span multiple surfaces using Antigravity.

Course Format

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

Customization Options

• For bespoke training requirements, kindly reach out to us to tailor the course content to your specific objectives.

Enterprise-grade 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 training, available both online and onsite, is designed for intermediate-level enterprise IT teams looking to integrate AIOps tools into their current observability stacks and operational workflows.

Upon completing this training, participants will be equipped 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.
• Enhance performance, reduce MTTR, and boost operational efficiency at an enterprise scale.

Course Format

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

Customization Options

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

Prometheus and Grafana are industry-standard tools for ensuring observability within modern infrastructure, while machine learning elevates these platforms by providing predictive and intelligent insights to automate operational decisions.

This instructor-led live training (available online or on-site) is designed for observability professionals at an intermediate level who aim to modernize their monitoring systems by integrating AIOps methodologies using Prometheus, Grafana, and machine learning techniques.

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

• Configure Prometheus and Grafana to achieve comprehensive observability across various systems and services.
• Collect, store, and visualize high-quality time series data effectively.
• Deploy machine learning models for the purposes of anomaly detection and forecasting.
• Develop intelligent alerting rules derived from predictive insights.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical practice sessions.
• 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.

This instructor-led live training, available either online or onsite, is designed for intermediate software developers and engineering teams aiming to build scalable, observable AI systems using Mastra.

By the end of this training, 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.
• Leverage Mastra’s observability and memory tools to monitor and improve agent performance.
• Deploy production-ready AI applications by utilizing Mastra’s framework features.

Mastra is a framework that offers structured tools for evaluating, debugging, and ensuring the reliability of AI agents operating within complex workflows.

This instructor-led, live training (available online or on-site) targets intermediate-level practitioners who want to rigorously test agent behaviour, improve reliability, and put in place measurable evaluation processes.

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

• Apply debugging techniques to identify and correct issues with agent behaviour.
• Evaluate agents using structured metrics, benchmarks, and quality scores.
• Implement tooling and workflows that 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 behaviours using observability tools.

Course Customisation Options

• Customised reliability testing scenarios and industry-specific QA methods can be arranged 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 tailored for intermediate-level professionals looking 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.
• 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.

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 seeking to verify, validate, and secure the output generated 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.
• Analyse browser recordings and trace agent activity effectively.
• 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 agent workflows.
• Hands-on testing and validation within a controlled lab environment.

Course Customization Options

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