LLMs and Agents in DevOps Workflows Training Course

Google Antigravity serves as an agentic development environment for creating autonomous agents that can plan, reason, code, and act by leveraging the multimodal capabilities of Gemini 3.

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

After completing this training, participants will be equipped to:

• Create 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 with enterprise systems and APIs.
• Enhance agent behavior, safety, and reliability in complex environments.

Course Format

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

Course Customization Options

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

Upon completing this course, participants will be able to:

• Construct long-term memory structures to ensure agent persistence.
• Implement robust feedback loops to influence and shape agent behavior.
• Evaluate learning trajectories and assess model drift.
• Integrate memory mechanisms into complex multi-agent ecosystems.

Course Format

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

Customization Options

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

Mastra serves as a framework facilitating deep integration among AI agents, APIs, enterprise applications, and external data systems.

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

Upon completing this training, participants will be equipped to:

• Implement API-driven integrations linking Mastra agents with external services.
• Link enterprise data systems and tools into 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.

Customization Options

• Custom API scenarios, enterprise system mappings, or data-integration workshops are available upon request.

AIOps (Artificial Intelligence for IT Operations) is gaining traction for its ability to forecast incidents ahead of time and automate Root Cause Analysis (RCA), thereby reducing downtime and speeding up resolution times.

This instructor-led live training, available online or onsite, targets advanced IT professionals eager to apply predictive analytics, automate remediation steps, and design intelligent RCA workflows leveraging AIOps tools and machine learning models.

Upon completing this training, participants will be capable of:

• Constructing and training machine learning models to identify patterns indicative of system failures.
• Automating RCA workflows through the correlation of logs and metrics from multiple sources.
• Integrating alerting and remediation procedures into current platforms.
• Deploying and scaling intelligent AIOps pipelines within production environments.

Course Format

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

Customization Options

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

AIOps (Artificial Intelligence for IT Operations) is a practice that uses machine learning and 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) is designed for intermediate-level IT operations professionals who want to implement AIOps techniques to correlate metrics and logs, reduce alert noise, and improve observability through intelligent automation.

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

• Understand the principles and architecture of AIOps platforms.
• Correlate data across logs, metrics, and traces to identify root causes.
• Reduce alert fatigue through intelligent filtering and noise suppression.
• Use open-source or commercial tools to monitor and respond to incidents automatically.

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.

Developing an AIOps pipeline exclusively with open-source tools enables teams to create flexible and cost-efficient solutions for production observability, anomaly detection, and intelligent alerting.

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

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

• Designing an AIOps architecture reliant solely on 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.
• Extensive exercises and practical applications.
• Hands-on implementation within a live laboratory environment.

Customization Options

• For inquiries regarding customized training for this course, please contact us to arrange details.

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 is a platform designed for constructing agents that can interact with web applications, browser environments, and multi-surface workflows.

This instructor-led, live training, available either online or onsite, is intended for intermediate-level professionals who want 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 various browser contexts.
• Validate and troubleshoot agent behavior in UI-driven environments.
• Implement cross-surface automation strategies using Antigravity.

Format of the Course

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

Course Customization Options

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

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 live training, available online or on-site, is designed for intermediate-level enterprise IT teams seeking to integrate AIOps tools into their existing observability stacks 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 practical activities.
• Hands-on implementation within a live-lab environment.

Customization Options

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

Prometheus and Grafana are extensively utilized tools for ensuring observability in contemporary infrastructure, while machine learning augments these platforms by providing predictive and intelligent insights to automate operational decisions.

This instructor-led training session (available online or onsite) targets intermediate-level observability professionals seeking to modernize their monitoring infrastructure by incorporating AIOps methodologies using Prometheus, Grafana, and machine learning techniques.

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

• Configure Prometheus and Grafana to achieve comprehensive observability across various systems and services.
• Gather, store, and visualize high-fidelity time series data.
• Utilize machine learning models for anomaly detection and forecasting.
• Develop intelligent alerting rules grounded in predictive insights.

Course Format

• Engaging lectures and interactive discussions.
• Numerous exercises and practical applications.
• Practical implementation within a live-lab environment.

Customization Options

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

This instructor-led training, offered online or onsite, targets intermediate software developers and engineering teams interested in building scalable, observable AI systems with Mastra.

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

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

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, targets intermediate-level practitioners who want to rigorously test agent behavior, enhance reliability, and implement measurable evaluation processes.

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

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

Course Format

• Interactive lectures and discussions.
• Hands-on 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 serves as an agent-centric development platform designed to orchestrate, monitor, and coordinate AI-driven coding and automation processes.

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 environment.

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

• Configure agent responsibilities and orchestration pipelines via the Manager interface.
• Generate and interpret Antigravity artifacts, such as task lists, plans, logs, and browser recordings.
• Implement verification strategies to maintain transparency and auditability in agent actions.
• Optimize multi-agent collaboration for complex development and operational tasks.

Format of the Course

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

Course Customization Options

• For tailored versions 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.