LLMs and Agents in DevOps Workflows Training Course

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

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

Upon completing this training, participants will be equipped to:

• Build autonomous workflows that leverage Gemini 3 for reasoning, planning, and execution.
• Develop agents in Antigravity that can analyse tasks, write code, and interact with 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 with autonomous agent development.
• Practical implementation using Antigravity, Gemini 3, and supporting cloud tools.

Course Customisation Options

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

Google Antigravity serves as a sophisticated framework for exploring long-lived agents and the emergence of interactive behaviours.

This instructor-led, live training, available online or onsite, targets advanced professionals seeking to design, analyse, and optimise agents that retain memories, improve through feedback, and evolve across extended operational periods.

Upon completion of this course, participants will acquire the following capabilities:

• Designing long-term memory structures to ensure agent persistence.
• Implementing effective feedback loops to guide agent behaviour.
• Evaluating learning trajectories and monitoring model drift.
• Integrating memory mechanisms within complex multi-agent ecosystems.

Course Format

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

Course Customization Options

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

This instructor-led, live training (available online or onsite) is designed for intermediate-level engineers aiming to build reliable, secure, and scalable integrations between Mastra agents and the broader enterprise ecosystem.

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

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

Format of the Course

• Interactive lecture and discussion.
• 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 leveraged to anticipate incidents before they happen and to automate root cause analysis (RCA), thereby reducing downtime and speeding up resolution times.

This instructor-led, live training session (available online or onsite) 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 completing this training, participants will be able to:

• Develop and train machine learning models to detect patterns that precede 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.

Customisation Options

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

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

This instructor-led live training (available online or on-site) targets intermediate IT operations professionals who aim to implement AIOps techniques to correlate metrics and logs, diminish alert noise, and elevate observability through intelligent automation.

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

• Grasping the principles and architecture underpinning AIOps platforms.
• Correlating data across logs, metrics, and traces to pinpoint root causes.
• Mitigating alert fatigue via intelligent filtering and noise suppression.
• Utilizing open-source or commercial tools to monitor and automatically respond to incidents.

Course Format

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

Course Customisation Options

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

Deploying an AIOps pipeline entirely through open-source components empowers teams to architect cost-efficient and adaptable solutions for monitoring, anomaly detection, and intelligent alerting within production environments.

This instructor-led training session, available either online or onsite, is tailored for senior-level engineers seeking to build and deploy a comprehensive AIOps pipeline employing tools such as Prometheus, ELK, Grafana, and bespoke machine learning models.

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

• Architecting an AIOps framework utilising exclusively open-source elements.
• Aggregating and standardising data derived from logs, metrics, and traces.
• Implementing machine learning algorithms to identify anomalies and forecast incidents.
• Automating alert notifications and remediation processes using open-source tooling.

Course Format

• Engaging lectures complemented by interactive discussion.
• Abundant practical exercises and rehearsal opportunities.
• Practical implementation within a live laboratory environment.

Course Customisation Options

• To enquire about a bespoke training programme 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 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 Customisation Options

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

Google Antigravity serves as a platform for constructing agents capable of interacting with web applications, browser environments, and multi-surface workflows.

This instructor-led, live training (available online or onsite) targets intermediate-level professionals seeking 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.

Format of the Course

• Guided instruction supported 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 requirements, please contact us to tailor the course to your objectives.

Enterprise-grade AIOps platforms such as Splunk, Moogsoft, and Dynatrace deliver robust capabilities for identifying anomalies, correlating alerts, and automating responses across large-scale IT infrastructures.

This instructor-led training, available online or onsite, is designed for intermediate-level enterprise IT teams seeking 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, prioritisation, and response through built-in and custom workflows.
• Optimise performance, reduce MTTR, and enhance operational efficiency at an enterprise scale.

Course Format

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

Course Customisation Options

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

Prometheus and Grafana are extensively adopted tools for ensuring observability within modern infrastructure. By integrating machine learning, these tools are enhanced with predictive and intelligent insights, thereby enabling automated operational decision-making.

This instructor-led live training (available online or onsite) targets intermediate-level observability professionals who aim to modernize their monitoring infrastructure. The course focuses on integrating AIOps practices by leveraging Prometheus, Grafana, and machine learning techniques.

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

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

Course Format

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

Customisation Options

• To request customised training for this course, please contact us to make arrangements.

This live, instructor-led training (available online or in-person) is designed for intermediate software developers and engineering teams aiming to construct scalable, observable AI systems using Mastra.

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

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

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

This live training session, led by an instructor and available both online or onsite, targets intermediate-level practitioners aiming to rigorously test agent behaviour, enhance reliability, and establish measurable evaluation processes.

Upon completing this training, participants will be able to:

• Apply debugging techniques to identify and rectify issues in agent behaviour.
• Evaluate agents through 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.
• Practical exercises focused on debugging and evaluation.
• Live-lab analysis of agent behaviours using observability tools.

Customisation Options

• Customised 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, targets intermediate-level professionals aiming to design, manage, and optimise multi-agent workflows within Google Antigravity.

Upon completion of this training, participants will acquire 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.
• Optimise 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 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.