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 serves as a sophisticated framework for experimenting with long-lived agents and emergent interactive behaviors.

This instructor-led live training (available online or onsite) targets advanced professionals aiming 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 ability to:

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

Format of the Course

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

Course Customization Options

• If your organization requires tailored content or case-specific examples, please contact us to customize this training.

This instructor-led, live training in Romania (online or onsite) targets observability and SRE engineers looking to incorporate LLMs and AI into their monitoring, alerting, and incident analysis processes.

AIOps (Artificial Intelligence for IT Operations) is increasingly utilized 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 both online and onsite, targets advanced IT professionals looking to implement predictive analytics, automate remediation processes, and design intelligent RCA workflows using AIOps tools and machine learning models.

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

• Developing and training ML models to identify patterns that lead to system failures.
• Automating RCA workflows through the correlation of multi-source logs and metrics.
• Integrating alerting and remediation processes into existing platforms.
• Deploying and scaling intelligent AIOps pipelines within production environments.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical practice.
• 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 your specific requirements.

AIOps (Artificial Intelligence for IT Operations) is a discipline that leverages machine learning and advanced 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 onsite, targets intermediate-level IT operations professionals looking to apply AIOps techniques. The goal is to correlate metrics and logs, minimize alert noise, and boost observability through intelligent automation.

Upon completing this training, participants will be able to:

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

Format of the Course

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

Course Customization Options

• For customized training requests, please contact us to arrange.

An AIOps pipeline developed exclusively with open-source tools enables teams to create cost-efficient and adaptable solutions for observability, anomaly detection, and intelligent alerting within production environments.

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

Upon completing this training, participants will be capable of:

• Designing an AIOps architecture comprised entirely of 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-source tooling.

Course Format

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

Customization Options

• To arrange customized training for this course, please contact us to discuss your requirements.

Antigravity serves as a specialized development platform for constructing AI-driven, agent-first applications.

This instructor-led, live training session—available both online and on-site—is tailored for intermediate-level developers aiming to build practical applications using autonomous AI agents within the Antigravity ecosystem.

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

• Creating applications that depend on autonomous and synchronized AI agents.
• Utilizing the Antigravity IDE, editor, terminal, and browser for complete end-to-end development.
• Orchestrating multi-agent workflows via the Agent Manager.
• Integrating agent functionalities into production-ready software systems.

Course Format

• A blend of theoretical presentations with detailed live demonstrations.
• Extensive hands-on practice and guided exercises.
• Practical implementation work directly within the Antigravity live environment.

Course Customization Options

• For content tailored to your specific 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 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 constructing agents designed to interact with web applications, browser environments, and multi-surface workflows.

This instructor-led training, available both online and onsite, is tailored for intermediate professionals aiming to build, automate, and test browser-based workflows using Google Antigravity.

After completing the training, participants will be equipped to:

• Develop agents that engage with web applications within a browser interface.
• Automate comprehensive workflows across various browser contexts.
• Validate and resolve issues related to agent behavior in user interface-driven environments.
• Deploy cross-surface automation strategies leveraging Antigravity.

Course Structure

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

Customization Options

• For specific training needs, please reach out to us to adapt the course to your unique goals.

This instructor-led, live training in Romania (online or onsite) is tailored for SRE and DevOps engineers aiming to design, build, and safely deploy AI agents for autonomous IT operations.

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

This instructor-led training, available both online and onsite, is designed for intermediate-level enterprise IT teams looking to integrate AIOps tools into their existing observability stack and operational workflows.

Upon completing 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 through built-in and custom workflows.
• Optimize performance, reduce MTTR, and enhance operational efficiency at an enterprise scale.

Course Format

• Interactive lectures and discussions.
• Numerous exercises and practice opportunities.
• Hands-on implementation in a live-lab environment.

Customization Options

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

Prometheus and Grafana are industry-standard tools for monitoring modern infrastructure, while machine learning augments these platforms with predictive and intelligent insights to automate operational decisions.

This instructor-led live training (available online or onsite) targets intermediate-level observability professionals looking to modernize their monitoring infrastructure by adopting AIOps practices through Prometheus, Grafana, and machine learning techniques.

Upon completing this training, participants will be capable of:

• Configuring Prometheus and Grafana to monitor systems and services effectively.
• Gathering, storing, and visualizing high-fidelity time series data.
• Implementing machine learning models for anomaly detection and predictive forecasting.
• Developing 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.

Customization Options

• For customized training requests, please reach out to us to arrange the session.

This instructor-led, live training session in Romania (available online or onsite) is designed for ML engineers and platform teams who need to build robust operational pipelines for LLM-powered applications at scale.

Google Antigravity is a platform centered on agents, designed to orchestrate, supervise, and coordinate AI-driven coding and automation processes.

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

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

• Configure agent responsibilities and orchestration pipelines using the Manager interface.
• Generate and interpret Antigravity artifacts, such as task lists, plans, logs, and browser recordings.
• Implement verification strategies to ensure agent actions are transparent and auditable.
• Optimize collaboration among multiple agents for complex development and operational tasks.

Course Format

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

Customization Options

• For a tailored version of this course, please contact us to discuss customization possibilities.

This instructor-led, live training in Romania (online or onsite) is aimed at security and ML engineers who need to identify, test, and defend against attacks on ML models and LLM-powered applications.