LLMs and Agents in DevOps Workflows Training Course

Google Antigravity serves as an agentic development environment crafted for constructing autonomous agents that leverage Gemini 3's multimodal capabilities to plan, reason, code, and execute actions.

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

Upon completing this course, participants will be equipped to:

• Construct autonomous workflows that utilize Gemini 3 for reasoning, planning, and execution.
• Develop agents within Antigravity capable of analyzing tasks, writing code, and interacting with tools.
• Integrate Gemini-driven agents into enterprise systems and APIs.
• Enhance agent behavior, safety, and reliability within complex environments.

Course Format

• Expert-led demonstrations paired with interactive discussions.
• Hands-on experimentation in autonomous agent development.
• Practical implementation using Antigravity, Gemini 3, and supporting cloud tools.

Customization Options

• For teams requiring domain-specific agent behaviors or custom integrations, please contact us to tailor the program.

Google Antigravity serves as an advanced framework designed for experimenting with long-lived agents and emergent interactive behaviors.

This instructor-led training session, available either online or on-site, targets advanced professionals seeking to design, analyze, and optimize agents that retain memories, enhance performance through feedback, and evolve over extended operational periods.

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

• Constructing long-term memory structures to ensure agent persistence.
• Implementing effective feedback loops to guide agent behavior.
• Evaluating 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 concepts to simulated agent environments.

Customization Options

• Organizations requiring tailored content or case-specific examples should contact us to customize this training.

Mastra serves as a robust 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 build reliable, secure, and scalable integrations connecting Mastra agents with the wider enterprise ecosystem.

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

• Execute API-driven integrations linking Mastra agents with external services.
• Link 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 environments.

Course Format

• Interactive lectures and discussions.
• Practical integration engineering and API exercises.
• Live-lab implementation utilizing 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) represents a methodology that leverages machine learning and advanced analytics to automate and enhance IT operations. This approach is particularly effective in the domains of monitoring, incident detection, and response.

This instructor-led training session, available either online or onsite, targets intermediate-level IT operations professionals eager to apply AIOps techniques. The goal is to correlate metrics and logs, minimize alert noise, and enhance observability through intelligent automation.

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

• Grasp the core principles and architectural frameworks of AIOps platforms.
• Correlate data from logs, metrics, and traces to pinpoint root causes effectively.
• Alleviate alert fatigue by employing intelligent filtering and noise suppression strategies.
• Utilize open-source or commercial solutions to automatically monitor and respond to incidents.

Course Format

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

Customization Options

• For tailored training requirements, please reach out to us for arrangement.

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

This instructor-led live training (available online or onsite) is designed for advanced-level engineers aiming to build and deploy an end-to-end AIOps pipeline utilizing tools such as Prometheus, ELK, Grafana, and custom ML models.

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

• Architecting an AIOps structure using exclusively open-source components.
• Gathering and standardizing data from logs, metrics, and traces.
• Applying machine learning models to identify anomalies and predict incidents.
• Automating 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

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

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

This instructor-led training (available online or onsite) is tailored for intermediate-level professionals who aim to build, automate, and test browser-based workflows using Google Antigravity.

Upon completing the training, participants will be able to:

• Create 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 UI-driven environments.
• Implement 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 in an interactive lab setting.

Customization Options

• For customized training needs, please contact us to tailor the course to your specific objectives.

Enterprise AIOps platforms such as Splunk, Moogsoft, and Dynatrace deliver robust capabilities for identifying anomalies, correlating alerts, and automating responses within 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.

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, prioritization, and response through built-in and custom workflows.
• Enhance performance, reduce MTTR, and improve operational efficiency at an enterprise scale.

Course Format

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

Customization Options

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

Prometheus and Grafana are extensively adopted tools for ensuring observability in modern infrastructure. The integration of machine learning enriches these platforms with predictive capabilities and intelligent insights, thereby automating operational decision-making.

This instructor-led training, available either online or onsite, is designed for observability professionals with intermediate expertise who aim to modernize their monitoring systems by incorporating AIOps methodologies using Prometheus, Grafana, and machine learning techniques.

Upon completing this training, participants will be capable of:

• Configuring Prometheus and Grafana to ensure observability across various systems and services.
• Collecting, storing, and visualizing high-quality time series data.
• Applying machine learning models for the purpose of anomaly detection and forecasting.
• Constructing intelligent alerting rules grounded in predictive insights.

Format of the Course

• Interactive lectures accompanied by discussions.
• Numerous exercises and practical practice sessions.
• Hands-on implementation within a live-lab environment.

Course Customization Options

• For customized training arrangements for this course, please contact us to discuss your requirements.

This live training, facilitated by an instructor (available online or on-site), is designed for intermediate-level software developers and engineering teams aiming to build scalable, observable AI systems with Mastra.

By the conclusion of this course, participants will be able to:

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

Mastra is a framework that provides structured tools for evaluating, debugging, and ensuring 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.

Course Format

• 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 online or onsite) targets intermediate-level 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, including task lists, plans, logs, and browser recordings.
• Implement verification strategies to ensure agent actions remain transparent and auditable.
• Optimize collaboration among multiple agents for complex development and operational tasks.

Course Format

• Guided presentations and practical demonstrations.
• Scenario-based exercises focused on real-world 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.