LLMs and Agents in DevOps Workflows Training Course

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

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

Upon completing this training, participants will be equipped to:

• Construct autonomous workflows that leverage Gemini 3 for reasoning, planning, and execution.
• Develop agents within Antigravity that can analyze tasks, generate code, and interact 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-led demonstrations paired with interactive discussions.
• Hands-on experimentation focused on autonomous agent development.
• Practical implementation utilizing Antigravity, Gemini 3, and complementary cloud tools.

Customization Options

• For teams requiring domain-specific agent behaviors or custom integrations, please reach out 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 training session, available online or onsite, targets advanced professionals seeking to design, analyze, and optimize agents that can retain memories, improve via feedback, and evolve over extended operational periods.

Upon course completion, participants will acquire the ability to:

• Design memory structures for agent persistence.
• Implement feedback loops to shape agent behavior.
• Evaluate learning trajectories and model drift.
• Integrate memory mechanisms into complex multi-agent ecosystems.

Course Format

• Expert-led discussion paired with technical demonstrations.
• Hands-on exploration through structured design challenges.
• Application of concepts to simulated agent environments.

Customization Options

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

Mastra provides a robust framework for achieving deep integration between AI agents, APIs, enterprise applications, and external data systems.

This instructor-led training, available online or onsite, is designed for intermediate-level engineers seeking to establish reliable, secure, and scalable connections between Mastra agents and the broader enterprise ecosystem.

Upon completing this training, participants will be equipped to:

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

Course Format

• Interactive lectures and discussions.
• Practical integration engineering and API exercises.
• Live-lab implementations utilizing real-world enterprise scenarios.

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 processes.

This instructor-led live training, available both online and onsite, is designed for IT operations professionals at an intermediate level who aim to implement AIOps techniques. The goal is to correlate metrics and logs, minimize alert noise, and boost observability through intelligent automation.

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

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

Course Format

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

Customization Options

• For a tailored training experience for this course, please contact us to make arrangements.

Developing an AIOps pipeline exclusively with open-source tools empowers teams to create affordable and adaptable solutions for observability, anomaly detection, and intelligent alerting within production environments.

This instructor-led, live training (available online or onsite) targets advanced engineers who want to build and deploy a comprehensive AIOps pipeline using tools such as Prometheus, ELK, Grafana, and custom machine learning models.

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

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

Course Format

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

Customization Options

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

Antigravity serves as a specialized development platform designed for constructing AI-driven applications with an agent-first approach.

This instructor-led training, available either online or onsite, targets intermediate-level developers looking to build practical applications using autonomous AI agents within the Antigravity ecosystem.

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

• Develop applications that depend on coordinated and autonomous AI agents.
• Utilize the Antigravity IDE, editor, terminal, and browser for complete end-to-end development workflows.
• Orchestrate multi-agent workflows using the Agent Manager.
• Integrate agent functionalities into robust, production-grade software systems.

Course Format

• A combination of presentations and detailed live demonstrations.
• Ample hands-on practice accompanied by guided exercises.
• Practical implementation work conducted directly within the live Antigravity environment.

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 platform engineered to optimize engineering processes via intelligent automation.

This instructor-led, live training (available online or onsite) targets beginners eager to grasp the fundamentals of Antigravity and learn how agent-powered coding environments boost productivity.

After completing this training, participants will be capable of:

• Installing and setting up Google Antigravity.
• Navigating and comprehending both the Editor View and Manager View.
• Collaborating effectively with agents to automate basic development tasks.
• Leveraging Antigravity to create, refine, and oversee project files.

Course Format

• Instructor-led explanations accompanied by live demonstrations.
• Guided exercises emphasizing hands-on interaction with agents.
• Practical exploration of essential Antigravity features within a controlled lab setting.

Customization Options

• Should you need a bespoke version of this training, please reach out to us to organize a tailored program.

Google Antigravity serves as a platform designed for developing agents that can engage with web applications, browser environments, and complex multi-platform workflows.

This instructor-led live training (available online or onsite) targets intermediate professionals seeking to construct, automate, and validate 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 spanning various browser contexts.
• Validate and resolve issues related to agent behavior in UI-driven settings.
• Deploy cross-platform automation strategies leveraging Antigravity.

Course Format

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

Customization Options

• For tailored training solutions aligned with your specific objectives, please reach out to us.

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 looking to integrate AIOps tools into their existing observability stacks 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 widely adopted tools for observability in modern infrastructure, while machine learning enhances these tools with predictive and intelligent insights to automate operations decisions.

This instructor-led, live training (online or onsite) is aimed at intermediate-level observability professionals who wish to modernize their monitoring infrastructure by integrating AIOps practices using Prometheus, Grafana, and ML techniques.

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

• Configure Prometheus and Grafana for observability across systems and services.
• Collect, store, and visualize high-quality time series data.
• Apply machine learning models for anomaly detection and forecasting.
• Build intelligent alerting rules based on predictive insights.

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.

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

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

• Grasping Mastra’s architecture and its integration with LLMs and external APIs.
• Designing and implementing AI agents and workflows using TypeScript.
• Leveraging Mastra’s observability and memory tools to monitor and enhance agent performance.
• Deploying production-grade AI applications by utilizing Mastra’s framework capabilities.

Mastra is a framework that provides structured tools for evaluating, debugging, and assuring the reliability of AI agents operating across complex workflows.

This instructor-led, live training (online or onsite) is aimed at intermediate-level practitioners who wish to rigorously test agent behavior, improve reliability, and implement measurable evaluation processes.

At the end of this training, participants will confidently:

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

Format of the Course

• Interactive lecture and discussion.
• 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 workflows.

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

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

• Configure agent responsibilities and orchestration pipelines using the Manager interface.
• Generate and interpret Antigravity artifacts, including task lists, plans, logs, and browser recordings.
• Implement verification strategies to ensure that agent actions remain transparent and auditable.
• Optimize multi-agent collaboration for complex development and operational tasks.

Course Format

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

Course Customization Options

• If you need 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.