LLMs and Agents in DevOps Workflows Training Course

Google Antigravity is an agentic development environment designed 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 represents a sophisticated framework designed for experimenting with long-lived agents and emergent interactive behaviors.

This instructor-led training, available either online or onsite, is tailored for advanced professionals seeking to design, analyze, and optimize agents that can retain memories, improve via feedback, and evolve across extended operational periods.

After completing this course, participants will be equipped with the following skills:

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

Course Format

• Expert-led discussions complemented by technical demonstrations.
• Practical exploration through structured design challenges.
• Application of learned concepts to simulated agent environments.

Customization Options

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

Mastra is a framework that facilitates deep integration between AI agents, APIs, enterprise applications, and external data systems.

This instructor-led, live training (online or onsite) is aimed at intermediate-level engineers who wish to build reliable, secure, and scalable integrations between Mastra agents and the broader enterprise ecosystem.

Upon completing this training, participants will be prepared 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 production ready.

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 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 focus on monitoring, detecting incidents, and responding to them.

This instructor-led, live training (available online or onsite) is designed for IT operations professionals at an intermediate level who aim to apply AIOps techniques to correlate metrics and logs, minimize alert noise, and enhance observability through intelligent automation.

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

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

Course Format

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

Course Customization Options

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

Leveraging entirely open-source tools to build an AIOps pipeline enables teams to develop cost-efficient and adaptable solutions for observability, anomaly detection, and intelligent alerting within production environments.

This instructor-led live training, available either online or onsite, is designed for advanced engineers aiming to construct 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 capable of:

• Architecting an AIOps setup using exclusively open-source components.
• Gathering and standardizing data from logs, metrics, and traces.
• Implementing ML models to identify anomalies and forecast incidents.
• Automating alerting and remediation processes using open tooling.

Course Format

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

Customization Options for the Course

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

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

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

Upon completing this training, participants will be capable of:

• Developing applications that depend on autonomous and coordinated AI agents.
• Utilizing the Antigravity IDE, editor, terminal, and browser for comprehensive development.
• Overseeing multi-agent workflows via the Agent Manager.
• Integrating agent functionalities into production-ready software systems.

Course Format

• A mix of presentations accompanied by detailed demonstrations.
• Substantial hands-on practice with guided exercises.
• Practical implementation work within the live Antigravity environment.

Customization Options

• For content tailored to your specific development stack, please reach out to us to arrange a customized training session.

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 designed for developing agents that can interact with web applications, browser environments, and multi-surface workflows.

This instructor-led training session, available both online and on-site, is tailored for intermediate-level professionals looking to build, automate, and test workflows within browser environments 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 across various browser contexts.
• Validate and troubleshoot agent performance in UI-driven settings.
• Deploy cross-surface automation strategies utilizing 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 specific training needs, please contact us to customize the course according to your objectives.

Enterprise-grade AIOps solutions such as Splunk, Moogsoft, and Dynatrace offer robust features for identifying anomalies, linking alerts, and automating remediation actions across extensive IT infrastructures.

This instructor-led live training, available online or in person, targets intermediate-level IT teams within enterprises seeking to incorporate AIOps tools into their current observability frameworks and operational processes.

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

• Set up and integrate Splunk, Moogsoft, and Dynatrace into a cohesive AIOps architecture.
• Correlate metrics, logs, and events across distributed systems leveraging AI-powered analysis.
• Automate incident identification, prioritization, and resolution using standard and tailored workflows.
• Enhance system performance, decrease MTTR, and boost operational efficiency at an enterprise level.

Course Format

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

Customization Options

• For inquiries regarding custom training for this course, please reach out to 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 instructor-led, live training (available online or onsite) is designed for intermediate-level software developers and engineering teams aiming to construct scalable, observable AI systems utilizing Mastra.

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

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

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

This instructor-led live training (available online or onsite) is designed for intermediate-level practitioners who want to rigorously test agent behavior, enhance reliability, and implement measurable evaluation processes.

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

• Apply debugging techniques to identify and correct issues in agent behavior.
• Evaluate agents using structured metrics, benchmarks, and quality scores.
• Implement tooling and workflows to monitor reliability, drift, and hallucinations.
• Design QA strategies to ensure 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 a platform focused on agents, enabling the orchestration, supervision, and coordination of workflows driven by AI for coding and automation.

This guided training session, available online or in person, is designed for professionals at an intermediate level who aim to create, oversee, and enhance multi-agent workflows within the Google Antigravity environment.

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

• Set up agent responsibilities and orchestration pipelines using the Manager interface.
• Create and analyze Antigravity artifacts, such as task lists, plans, logs, and browser recordings.
• Apply verification strategies to maintain transparency and auditability in agent actions.
• Enhance collaboration among multiple agents to handle complex development and operational tasks.

Course Format

• Guided presentations accompanied by practical demonstrations.
• Scenario-based exercises addressing real-world workflow challenges.
• Practical experimentation within a live Antigravity workspace.

Options for Customizing the Course

• For a customized version of this course, please reach out to us to discuss available options.

Antigravity is a framework designed to support advanced agent-driven development workflows.

This instructor-led training (available online or onsite) targets intermediate to advanced professionals seeking to verify, validate, and secure the outputs generated by AI agents operating within Antigravity-driven environments.

After completing this training, participants will be able to:

• Evaluate the accuracy and safety of code artifacts produced by agents.
• Employ structured methods to verify tasks executed by agents.
• Analyze browser recordings and effectively track agent activity.
• Apply QA and security best practices to ensure the reliability of agent workflows.

Course Format

• Technical briefings and discussions guided by an instructor.
• Practical exercises centered on verifying real-world agent workflows.
• Hands-on testing and validation within a controlled lab environment.

Customization Options

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