LLMs and Agents in DevOps Workflows Training Course

Google Antigravity serves as an agentic development environment designed to construct autonomous agents capable of planning, reasoning, coding, and acting through the multimodal capabilities of Gemini 3.

This instructor-led, live training (available online or onsite) targets advanced-level technical professionals who aim 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 analyze tasks, write code, and interact with various tools.
• Integrate Gemini-driven agents with enterprise systems and APIs.
• Optimize agent behavior, safety, and reliability within 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 a sophisticated framework designed for experimenting with persistent agents and emergent interactive behaviors.

This instructor-led, live training (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 completing this course, participants will acquire the skills to:

• Create long-term memory structures for agent persistence.
• Implement effective feedback loops to guide agent behavior.
• Assess learning trajectories and model drift.
• Integrate memory mechanisms into complex multi-agent ecosystems.

Course Format

• Expert-led discussions complemented by technical demonstrations.
• Hands-on exploration through structured design challenges.
• Application of concepts within simulated agent environments.

Customization Options

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

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, targets intermediate-level engineers looking to create reliable, secure, and scalable integrations between Mastra agents and the broader 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 exercises in integration engineering and API development.
• Live lab implementations based on 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) involves leveraging machine learning and analytics to automate and enhance IT operations, with a focus on monitoring, incident detection, and response.

This instructor-led, live training (available online or onsite) targets intermediate-level IT operations professionals looking to apply AIOps techniques to correlate metrics and logs, minimize alert noise, and boost observability through intelligent automation.

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

• Grasp the principles and architecture of AIOps platforms.
• Correlate data from logs, metrics, and traces to identify root causes.
• Decrease alert fatigue by employing intelligent filtering and noise suppression.
• Utilize open-source or commercial tools to monitor and respond to incidents automatically.

Format of the Course

• Interactive lecture and discussion.
• Plenty 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.

Utilizing a fully open-source stack for an AIOps pipeline enables teams to develop cost-efficient and adaptable solutions for monitoring, identifying anomalies, and managing intelligent alerts within production environments.

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

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

• Design an AIOps architecture utilizing exclusively open-source components.
• Gather and standardize data originating from logs, metrics, and traces.
• Implement ML models to identify anomalies and forecast incidents.
• Automate alerting and remediation processes using open tooling.

Course Format

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

Customization Options

• For those wishing to request a tailored training session for this course, please reach out to us to arrange details.

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

This live training, led by an instructor and available both online and onsite, is designed for intermediate developers aiming to build practical applications using autonomous AI agents within the Antigravity ecosystem.

Upon completion of this course, participants will gain the ability to:

• Create applications that depend on coordinated and autonomous AI agents.
• Utilize the Antigravity IDE, editor, terminal, and browser for complete end-to-end development.
• Oversee multi-agent workflows using the Agent Manager.
• Embed agent capabilities into robust, production-ready software systems.

Course Format

• A mix of instructional presentations and detailed demonstrations.
• Ample opportunities for hands-on practice with guided exercises.
• Real-world implementation tasks within the Antigravity live environment.

Customization Options

• For training content customized to fit your specific development stack, please reach out to us to arrange a tailored version of this course.

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 Customization Options

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

Google Antigravity serves as a platform for creating agents that can interact with web applications, browser environments, and multi-surface workflows.

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

Upon 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 behavior in user interface-driven environments.
• Implement cross-surface automation strategies utilizing Antigravity.

Course Format

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

Course Customization Options

• For tailored training requirements, please contact us to customize the course to meet 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 live training, available online or onsite, targets 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 capable of:

• Configuring and integrating Splunk, Moogsoft, and Dynatrace into a cohesive AIOps architecture.
• Correlating metrics, logs, and events across distributed systems using AI-driven analysis.
• Automating incident detection, prioritization, and response through both built-in and custom workflows.
• Enhancing performance, reducing MTTR, and boosting operational efficiency at an enterprise scale.

Course Format

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

Course Customization Options

• For customized training requests regarding this course, please contact us to make arrangements.

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 live, instructor-led training, available both online and onsite, targets intermediate software developers and engineering teams aiming to construct scalable, observable AI systems leveraging Mastra.

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

• Comprehend Mastra’s architecture and its integration mechanisms with Large Language Models (LLMs) and external APIs.
• Architect and implement AI agents and workflows utilizing TypeScript.
• Utilize Mastra’s memory and observability tools to track and enhance agent efficiency.
• Deploy production-grade AI applications by exploiting Mastra’s framework capabilities.

Mastra offers a framework equipped with structured tools designed to evaluate, debug, and ensure the reliability of AI agents functioning within complex workflows.

This live training, led by an instructor and available either online or on-site, is tailored for intermediate practitioners seeking to rigorously test agent behaviors, enhance reliability, and establish measurable evaluation processes.

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

• Utilize debugging techniques to pinpoint and resolve issues in agent behavior.
• Assess agents through structured metrics, benchmarks, and quality scores.
• Deploy tools and workflows to monitor reliability, detect drift, and identify hallucinations.
• Develop 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 behaviors using observability tools.

Customization Options

• Customized 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 aiming to design, manage, and optimize multi-agent workflows within Google Antigravity.

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

• Configure agent responsibilities and orchestration pipelines through the Manager interface.
• Generate and interpret Antigravity artifacts, such as 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 combined with practical demonstrations.
• Scenario-based exercises focusing on real-world workflow challenges.
• Hands-on experimentation within a live Antigravity workspace.

Course Customization Options

• If you require a customized version of this course, please contact us to discuss your specific needs.

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.