AI-Driven Observability: From Logs to LLM-Powered Insights Training Course

Google Antigravity serves as an agentic development environment tailored for constructing autonomous agents. Leveraging the multimodal capabilities of Gemini 3, these agents are designed to execute planning, reasoning, coding, and autonomous actions.

This instructor-led live training, available both online and onsite, is specifically curated for advanced-level technical professionals seeking to design, build, and deploy autonomous agents utilizing Gemini 3 and the Antigravity environment.

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

• Construct autonomous workflows that leverage Gemini 3 for reasoning, planning, and execution.
• Develop agents within Antigravity capable of analyzing tasks, generating code, and interacting with various tools.
• Integrate Gemini-driven agents seamlessly with enterprise systems and APIs.
• Optimize agent behavior, safety, and reliability within complex operational environments.

Course Format

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

Course Customization Options

• Should your team require domain-specific agent behaviors or custom integrations, please contact us to tailor the program accordingly.

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

Delivered by experienced instructors in either online or onsite settings, this training is tailored for advanced professionals seeking to design, analyze, and optimize agents that can retain memory, improve through feedback, and evolve over extended operational periods.

By the end of this course, participants will be equipped with the skills to:

• Architect long-term memory structures to ensure agent persistence.
• Implement robust feedback loops that effectively shape agent behavior.
• Assess learning trajectories and monitor model drift.
• Integrate memory mechanisms within complex multi-agent ecosystems.

Course Delivery Format

• Engaging expert-led discussions complemented by technical demonstrations.
• Practical, hands-on exploration through structured design challenges.
• Application of theoretical concepts within simulated agent environments.

Customization Availability

• Should your organization require specialized content or industry-specific case studies, please reach out to tailor this training to your needs.

Mastra is a framework designed to facilitate 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 seeking to build reliable, secure, and scalable integrations between Mastra agents and the broader enterprise ecosystem.

Upon completing this training, participants will be equipped 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 ready for production.

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.

AgentCore empowers AI agents to deliver highly interactive, dynamic, and context-aware experiences by providing robust memory persistence, a secure code interpreter, and an integrated browser tool.

This live, instructor-led training (available online or onsite) is designed for intermediate to advanced technical practitioners seeking to build and deploy AI agents that feature long-term context retention, on-the-fly computational capabilities, and direct interaction with web user interfaces.

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

• Implement AgentCore memory to create stateful, context-aware workflows.
• Utilize the secure code interpreter to perform dynamic calculations and data transformations.
• Integrate the browser tool for real-time data acquisition and UI interactions.
• Develop interactive agents tailored for analytics, customer support, and research applications.

Course Format

• Interactive lectures facilitated by discussion.
• Practical lab exercises focusing on AgentCore memory and associated tools.
• Case studies exploring analytics, automation, and customer support scenarios.

Customization Options

• To discuss customizing this training to your specific needs, please contact our team to arrange details.

AgentCore Runtime & Gateway is an AWS service pairing for packaging, deploying, and securely exposing AI agents with streamlined integrations to external systems.

This instructor-led, live training (online or onsite) is aimed at intermediate-level engineering teams who wish to move from agent prototypes to production by mastering the AgentCore Runtime for deployment and the Gateway for secure connectivity and API integration.

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

• Stand up AgentCore Runtime environments and package agents for deployment.
• Expose agents through Gateway with authenticated, rate-limited endpoints.
• Integrate external tools and APIs into agent workflows using stable contracts.
• Instrument observability, logging, and usage monitoring for production operation.

Format of the Course

• Interactive lecture and discussion.
• Hands-on labs with Runtime deployments and Gateway integrations.
• Practical exercises focused on reliability, security, and rollout.

Course Customization Options

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

Antigravity serves as a specialized development platform tailored for constructing AI-powered, agent-centric applications.

This instructor-led live training, available either online or onsite, is designed for intermediate developers seeking to build practical applications utilizing autonomous AI agents within the Antigravity ecosystem.

Upon successful completion, participants will possess the skills necessary to:

• Architect solutions that leverage autonomous and coordinated AI agents.
• Leverage the Antigravity IDE, editor, terminal, and browser capabilities for comprehensive end-to-end development.
• Orchestrate multi-agent workflows efficiently using the Agent Manager.
• Embed agent capabilities into robust, production-grade software architectures.

Course Delivery Method

• A blend of theoretical presentations and deep-dive technical demonstrations.
• Extensive practical sessions featuring guided exercises.
• Live implementation exercises conducted directly within the Antigravity environment.

Customization Possibilities

• To align the curriculum with your specific technology stack, please reach out to arrange a customized training experience.

Google Antigravity is an agent-centric development environment engineered to optimize engineering workflows through intelligent automation.

This live, instructor-led training session—available online or onsite—is tailored for practitioners at the beginner level who are eager to investigate the core capabilities of Antigravity and grasp how agent-driven coding environments can boost productivity.

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

• Install and properly configure Google Antigravity.
• Navigate and comprehend both the Editor View and Manager View interfaces.
• Collaborate effectively with agents to automate straightforward development tasks.
• Leverage Antigravity to generate, refine, and manage project files.

Course Format

• Instructor-led explanations reinforced by live, real-time demonstrations.
• Structured exercises emphasizing hands-on interaction with agents.
• Practical investigation of key Antigravity features within a controlled lab setting.

Customization Options

• If you need a bespoke version of this training, please reach out to us to discuss arranging a customized program.

Google Antigravity is a robust platform designed for developing intelligent agents that can interact with web applications, browser environments, and complex multi-surface workflows.

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

By the end of this course, participants will be equipped to:

• Develop agents capable of interacting with web applications within the browser surface.
• Automate comprehensive end-to-end workflows across various browser contexts.
• Validate agent behavior and troubleshoot issues within UI-driven environments.
• Deploy cross-surface automation strategies effectively using Antigravity.

Course Format

• Expert-led instruction reinforced by live demonstrations.
• Hands-on practical activities and scenario-based exercises for real-world application.
• Implementation of agent workflows within an interactive lab environment.

Customization Options

• We offer tailored training solutions; please contact us to align the course content with your specific organizational objectives.

AgentCore streamlines the lifecycle of AI agents—covering development, optimization, and monitoring—by offering a cohesive service ecosystem designed for scalable deployment.

This instructor-facilitated live session, available both online and on-site, is tailored for practitioners ranging from beginners to intermediates seeking practical experience in creating production-grade AI agents using AgentCore.

Upon completing this training, participants will be equipped to:

• Grasp the fundamental capabilities of AgentCore in the context of AI agent development.
• Architect and configure straightforward AI agents utilizing managed services.
• Integrate workflows to expand and refine agent functionality.
• Execute deployment and monitoring strategies for production environments.

Course Delivery Structure

• Engaging lectures and facilitated discussions.
• Practical labs focused on AgentCore services.
• Structured exercises guiding participants from concept to deployment.

Customization Possibilities

• Interested in a tailored training program? Please reach out to coordinate a customized experience.

This live, instructor-led training—available online or onsite—is tailored for intermediate-level software developers and engineering teams seeking to construct scalable and observable AI systems using Mastra.

Upon completing this training, participants will be equipped to:

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

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

Format of the Course

• 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.

Mastra is an operational framework designed to streamline the deployment, scaling, and lifecycle management of AI agents in production environments.

This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level technical professionals who need to operationalize AI agents reliably and efficiently across production systems.

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

• Deploy Mastra-based AI agents into controlled, production-grade environments.
• Scale agents horizontally and vertically using platform-native primitives.
• Implement observability pipelines to track agent behaviour and performance.
• Optimize runtime configurations to reduce latency, costs, and operational risks.

Format of the Course

• Interactive lecture and discussion.
• Hands-on exercises focused on real deployment scenarios.
• Live-lab implementation using containerized and orchestrated environments.

Course Customization Options

• Customization of topics, hands-on labs, or industry-specific scenarios is available upon request.

Mastra is a framework designed to facilitate sophisticated workflow automation and coordination among multiple AI agents within distributed systems.

This instructor-led live training, available online or onsite, targets intermediate-level professionals seeking to design, orchestrate, and operate large-scale multi-agent workflows.

Upon completion of this course, participants will acquire the skills to:

• Design complex workflows leveraging Mastra's orchestration capabilities.
• Coordinate multiple agents handling parallel or dependent tasks.
• Implement monitoring and debugging tools for workflow execution.
• Optimize orchestration logic to enhance reliability, throughput, and automation efficiency.

Course Format

• Interactive lectures and discussions.
• Hands-on exercises focused on workflow design and automation.
• Practical implementation within a containerized live-lab environment.

Customization Options

• Customized automation scenarios, enterprise integrations, or specific workflow patterns can be provided upon request.

Google Antigravity serves as an agent-focused development environment designed to oversee, supervise, and synchronize AI-powered coding and automation processes.

This live, instructor-led training session, available online or on-site, targets intermediate-level professionals aiming to build, administer, and fine-tune multi-agent workflows within Google Antigravity.

By the end of this training, participants will have acquired the capabilities to:

• Establish agent duties and orchestration pipelines through the Manager interface.
• Create and analyze Antigravity artifacts, such as task lists, strategic plans, system logs, and browser recordings.
• Apply verification methods to ensure agent activities remain transparent and auditable.
• Enhance multi-agent cooperation for intricate development and operational assignments.

Course Format

• Structured presentations accompanied by practical demonstrations.
• Scenario-driven exercises addressing real-world workflow complexities.
• Hands-on experimentation within a live Antigravity workspace.

Customization Options

• If a tailored version of this course is required, please reach out to us to explore customization possibilities.

Antigravity is a framework that embodies sophisticated agent-driven development workflows.

This instructor-led, live training session, available both online and on-site, is designed for intermediate to advanced professionals seeking to verify, validate, and secure the outputs generated by AI agents operating within Antigravity environments.

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

• Evaluate the accuracy and safety of code artifacts generated by agents.
• Leverage structured techniques to verify tasks executed by agents.
• Analyze browser recordings and effectively trace agent activities.
• Apply QA and security principles to guarantee the reliability of agent workflows.

Course Format

• Instructor-guided technical briefings and discussions.
• Practical exercises centered on verifying real-world agent workflows.
• Hands-on testing and validation conducted in a controlled lab environment.

Customization Options

• Adaptation of scenarios, workflows, and testing examples is available upon request.