LLMs and Agents in DevOps Workflows Training Course

Google Antigravity serves as an agentic development platform engineered to create autonomous agents capable of planning, reasoning, coding, and executing actions via the multimodal capabilities of Gemini 3.

This live training, facilitated by an instructor (available online or on-site), is designed for advanced technical professionals seeking to design, build, and deploy autonomous agents leveraging Gemini 3 and the Antigravity environment.

Upon completion of this training, 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 various tools.
• Integrate Gemini-powered agents into enterprise systems and APIs.
• Enhance agent behavior, safety, and reliability within complex environments.

Course Format

• Expert-led demonstrations complemented by interactive discussions.
• Hands-on experimentation focused on autonomous agent development.
• Practical implementation utilizing 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 who aim to design, analyze, and optimize agents capable of retaining memories, improving through feedback, and evolving over extended operational periods.

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

• Design memory structures that ensure agent persistence.
• Implement effective feedback loops to influence agent behavior.
• Evaluate learning trajectories and monitor model drift.
• Integrate memory mechanisms into complex multi-agent ecosystems.

Course Format

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

Customization Options

• Organizations requiring tailored content or case-specific examples are encouraged to 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 aiming to construct reliable, secure, and scalable integrations connecting Mastra agents with the broader enterprise ecosystem.

Upon completion of 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.

Format of the Course

• Interactive lectures and discussions.
• Hands-on exercises in integration engineering and API development.
• Live-lab implementations utilizing real-world enterprise scenarios.

Course Customization Options

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

AIOps represents a rapidly advancing discipline designed to meet the demands of contemporary, intricate IT ecosystems, especially those built on cloud infrastructure. The AIOps Foundation course provides a thorough introduction to the fundamental concepts, technologies, and best practices associated with applying artificial intelligence within IT operations.

The curriculum explores the historical context of AIOps, its foundational principles, essential tools, and the organizational hurdles IT teams encounter when adopting these methodologies.

The training program concludes with an examination. Successful completion awards the globally recognized AIOps Foundation certification, which remains valid for three years.

Target Audience

This course is tailored for professionals and managers engaged in:

IT operations

DevOps and Site Reliability Engineering (SRE)

Cloud architecture

Data analysis and Data Science

Software development

IT security

Product and project management

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) is a practice that leverages machine learning and analytics to automate and enhance IT operations, particularly in 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, 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.

An AIOps pipeline developed entirely with open-source technologies 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 onsite) targets advanced engineers seeking to design 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 system utilizing only open-source components.
• Gathering and standardizing data from logs, metrics, and traces.
• Employing 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 activities.
• Hands-on implementation within a live laboratory environment.

Course Customization Options

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

Antigravity serves as a specialized development platform aimed at constructing AI-driven, agent-centric applications.

This instructor-led live training, available in both online and onsite formats, targets intermediate developers looking to build practical solutions using autonomous AI agents within the Antigravity ecosystem.

Upon completion, participants will be able to:

• Create applications that leverage autonomous and coordinated AI agents.
• Utilize the Antigravity IDE, editor, terminal, and browser for comprehensive development workflows.
• Orchestrate multi-agent workflows using the Agent Manager.
• Seamlessly integrate agent capabilities into production-grade software systems.

Course Format

• A blend of conceptual presentations and in-depth technical demonstrations.
• Extensive hands-on practice supported by guided exercises.
• Real-world implementation tasks conducted 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 stands as an agent-centric development platform engineered to optimize engineering workflows via intelligent automation.

This session, led by an instructor and available either online or at your location, targets novice practitioners eager to delve into the basics of Antigravity and grasp how agent-enabled coding environments can boost productivity.

After finishing this training, attendees will gain the ability to:

• Set up and configure Google Antigravity.
• Navigate and comprehend both the Editor View and Manager View interfaces.
• Collaborate efficiently with agents to automate basic development activities.
• Leverage Antigravity to create, refine, and oversee project files.

Course Structure

• Explanations from the instructor backed by live demonstrations.
• Structured exercises emphasizing hands-on interaction with agents.
• Practical investigation of essential Antigravity features within a secure lab setting.

Customization Opportunities

• For a version of this training tailored to your specific needs, please reach out to us to organize a bespoke 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 live training (available online or onsite) targets intermediate-level professionals aiming to build, automate, and test browser-based workflows using Google Antigravity.

After 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 user interface-driven environments.
• Implement cross-surface automation strategies using Antigravity.

Course Format

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

Course Customization Options

• For tailored training needs, please contact us to adapt the course to your specific objectives.

Enterprise AIOps platforms such as Splunk, Moogsoft, and Dynatrace offer robust capabilities for detecting anomalies, correlating alerts, and automating responses across 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 existing observability stack and operational workflows.

Upon completion of 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 with built-in and custom workflows.
• Optimize performance, reduce MTTR, and improve operational efficiency at enterprise scale.

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.

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 software developers and engineering teams aiming to build scalable, observable AI systems using Mastra.

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

• Grasp Mastra’s underlying architecture and its integration capabilities with Large Language Models (LLMs) and external APIs.
• Architect and implement AI agents and workflows utilizing TypeScript.
• Leverage Mastra’s observability and memory utilities to monitor and enhance agent performance.
• Deploy production-grade AI applications by exploiting Mastra’s comprehensive framework features.

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 looking to design, manage, and optimize multi-agent workflows within the Google Antigravity ecosystem.

Upon completing this training, participants will be equipped with the following skills:

• Configure agent responsibilities and orchestration pipelines via the Manager interface.
• Generate and interpret Antigravity artifacts, including 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.

Course Format

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

Course Customization Options

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

Antigravity serves as a framework that embodies sophisticated, agent-led development workflows.

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

After completing this training, participants will be capable of:

• Evaluating the accuracy and safety of code artifacts created by agents.
• Applying structured methods to verify tasks executed by agents.
• Effectively analyzing browser recordings to trace agent activity.
• Implementing QA and security standards to guarantee the reliability of agent-driven workflows.

Course Format

• Instructor-guided technical briefings and interactive discussions.
• Practical exercises centered on verifying authentic agent workflows.
• Hands-on testing and validation within a secure lab environment.

Customization Options

• Scenarios, workflows, and testing examples can be tailored upon request.