LLMs and Agents in DevOps Workflows Training Course

Google Antigravity serves as an agentic development environment engineered to construct autonomous agents capable of planning, reasoning, coding, and executing tasks via Gemini 3’s multimodal capabilities.

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

Upon completing this training, participants will be equipped to:

• Construct autonomous workflows leveraging Gemini 3 for reasoning, planning, and execution.
• Develop agents within Antigravity that can analyse tasks, generate code, and interact with various tools.
• Integrate Gemini-driven agents with enterprise systems and APIs.
• Optimise agent behaviour, safety, and reliability in complex environments.

Course Format

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

Course Customization Options

• If your team requires domain-specific agent behaviours or custom integrations, please contact us to tailor the program.

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

This instructor-led training, available online or onsite, is designed for advanced professionals who want to design, analyze, and optimize agents capable of retaining memories, improving through feedback, and evolving over extended operational periods.

Upon completing this course, participants will be able to:

• Design memory structures that ensure agent persistence.
• Implement feedback loops to effectively guide agent behavior.
• Evaluate learning trajectories and monitor model drift.
• Integrate memory mechanisms into complex multi-agent ecosystems.

Course Format

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

Customization Options

• For organizations requiring tailored content or specific case studies, please contact us to arrange customized training.

Mastra serves as a robust framework facilitating deep integration among AI agents, APIs, enterprise applications, and external data systems.

This instructor-led training, available both online and onsite, is designed for intermediate-level engineers aiming to create reliable, secure, and scalable integrations between Mastra agents and the wider enterprise ecosystem.

Upon completing this training, participants will be equipped to:

• Execute API-driven integrations between Mastra agents and 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 use.

Course Format

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

Course Customization Options

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

AIOps (Artificial Intelligence for IT Operations) is increasingly being used 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 aimed at advanced-level IT professionals who wish to implement predictive analytics, automate remediation, and design intelligent RCA workflows using AIOps tools and machine learning models.

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

• Build and train ML 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.

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.

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

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

Upon completing this training, participants will be equipped to:

• Grasp the core principles and architectural framework of AIOps platforms.
• Correlate data from logs, metrics, and traces to pinpoint root causes.
• Alleviate alert fatigue by implementing intelligent filtering and noise suppression strategies.
• Utilize open-source or commercial tools to automatically monitor and respond to incidents.

Course Format

• Engaging interactive lectures and discussions.
• Extensive exercises and practical application.
• Hands-on implementation within a live laboratory environment.

Customization Options

• For personalized training arrangements, please reach out to us to discuss your specific requirements.

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

This instructor-led live training, available either online or on-site, is designed for advanced engineers looking to architect 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 equipped to:

• Design an AIOps architecture relying exclusively on 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 tooling.

Course Format

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

Customization Options

• To request tailored training for this course, please get in touch to make arrangements.

Antigravity is a development platform engineered for constructing AI-driven, agent-first applications.

This instructor-led, live training (available online or onsite) targets intermediate-level developers seeking to build real-world applications using autonomous AI agents within the Antigravity environment.

Upon completing this training, participants will be able to:

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

Course Format

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

Course Customization Options

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

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

This instructor-led live training, available either online or onsite, is designed for beginners who want to discover the basics of Antigravity and learn how agent-driven coding environments can 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 effectively with agents to automate straightforward development tasks.
• Leverage Antigravity to generate, refine, and manage project files.

Course Format

• Instructor explanations complemented by real-time demonstrations.
• Guided exercises focusing on practical use of agents.
• Hands-on exploration of core Antigravity features within a controlled lab environment.

Course Customization Options

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

Google Antigravity is a platform designed for creating agents that can interact with web applications, browser environments, and workflows spanning multiple surfaces.

This instructor-led live training, available both online and onsite, targets intermediate-level professionals who want to build, automate, and test browser-based workflows using Google Antigravity.

After completing the training, participants will be able to:

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

Course Format

• Guided instruction complemented by practical demonstrations.
• Hands-on exercises and scenario-based activities.
• Implementation of agent workflows in an interactive lab environment.

Course 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 identifying anomalies, correlating alerts, and automating responses across extensive IT environments.

This instructor-led live training, available either online or onsite, is designed for intermediate-level enterprise IT teams looking to incorporate AIOps tools into their current observability stack and operational workflows.

Upon completing this training, participants will be able to:

• Set up 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 improve operational efficiency at an enterprise scale.

Course Format

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

Customization Options for the Course

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

Prometheus and Grafana are industry-standard tools for ensuring observability within modern infrastructure. By incorporating machine learning, these platforms gain the ability to deliver predictive and intelligent insights, thereby automating key operational decisions.

This instructor-led live training, available either online or onsite, targets observability professionals at an intermediate level. Its objective is to help participants modernize their monitoring infrastructure by adopting AIOps practices through the integration of Prometheus, Grafana, and machine learning techniques.

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

• Configure Prometheus and Grafana to establish robust observability across various systems and services.
• Collect, store, and visualize high-quality time series data effectively.
• Deploy machine learning models to facilitate anomaly detection and forecasting.
• Develop intelligent alerting rules driven by predictive insights.

Course Format

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

Course Customization Options

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

This instructor-led, live training session (available online or onsite) is designed for software developers and engineering teams at an intermediate proficiency level who seek to build scalable, observable AI systems using Mastra.

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

• Understand Mastra’s architecture and its integration 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 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 session (available online or on-site) 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 rectify issues in agent behavior.
• Evaluate agents using structured metrics, benchmarks, and quality scores.
• Implement tooling and workflows that monitor reliability, drift, and hallucinations.
• Design QA strategies that guarantee consistent and predictable agent performance.

Course Format

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

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 workflows.

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

Upon completion of this training, participants will acquire the following competencies:

• Configure agent responsibilities and orchestration pipelines via the Manager interface.
• Generate and interpret Antigravity artifacts, such as task lists, plans, logs, and browser recordings.
• Implement verification strategies to maintain transparency and audibility in agent actions.
• Optimize collaboration among multiple agents to handle 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 customized version of this course, please contact us to discuss specific customization options.

Antigravity is a framework that represents 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 produced by AI agents working within Antigravity-driven environments.

Upon completing this training, participants will be able to:

• Assess the accuracy and safety of agent-generated code artifacts.
• Use structured techniques to verify agent-executed tasks.
• Analyze browser recordings and trace agent activity effectively.
• Apply QA 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 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.