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

Google Antigravity serves as an agentic development environment engineered to create autonomous agents that can plan, reason, code, and execute actions leveraging Gemini 3’s multimodal capabilities.

This instructor-led, live training—available both online and onsite—is tailored for advanced technical professionals seeking to design, build, and deploy autonomous agents using Gemini 3 and the Antigravity ecosystem.

Upon completing this training, participants will be equipped to:

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

Course Format

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

Customization Options

• If your team requires domain-specific agent behaviors or custom integrations, please reach out to tailor the program to your specific needs.

Google Antigravity serves as a sophisticated framework designed for exploring long-lived agents and the emergence of interactive behaviors.

Delivered by experts either online or on-site, this advanced training is tailored for professionals aiming to design, analyze, and optimize agents that can retain memory, refine their operations through feedback, and evolve over extended periods.

By the end of this course, participants will have acquired the competency to:

• Architect long-term memory structures to ensure agent persistence.
• Deploy effective feedback loops that guide agent behavior.
• Assess learning trajectories and monitor model drift.
• Embed memory mechanisms within intricate multi-agent ecosystems.

Course Format

• Insightful discussions from experts accompanied by technical demonstrations.
• Practical exploration via structured design challenges.
• Application of theoretical concepts within simulated agent environments.

Customization Options

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

Mastra serves as a framework designed to facilitate deep integration between AI agents, APIs, enterprise applications, and external data systems.

This instructor-led live training, available both online and onsite, targets intermediate-level engineers aiming to construct 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 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 scalable, maintainable, and production-ready integration layers.

Course Format

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

Customization Options

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

AgentCore equips AI agents with persistent memory, a secure code interpreter, and browser capabilities, allowing them to provide highly interactive, dynamic, and context-aware experiences.

This live, instructor-led course—available online or onsite—is tailored for intermediate to advanced technical professionals looking to architect and deploy AI agents that retain long-term context, perform real-time computations, and engage directly with web interfaces.

Upon completion, participants will be able to:

• Utilize AgentCore memory to create stateful, context-rich workflows.
• Employ the secure code interpreter for flexible calculations and data transformations.
• Incorporate the browser tool for instant data acquisition and UI engagement.
• Develop interactive agents tailored for analytics, customer service, and research applications.

Course Structure

• Engaging lectures paired with interactive discussions.
• Practical lab exercises focusing on AgentCore memory and associated tools.
• In-depth case studies covering analytics, automation, and customer support environments.

Customization Availability

• Reach out to us to discuss and arrange a customized training solution for this course.

AgentCore Runtime and Gateway serve as a paired AWS service solution designed to streamline the packaging, deployment, and secure exposure of AI agents, facilitating seamless integrations with external systems.

This instructor-led live training, available either online or on-site, targets intermediate-level engineering teams. Its primary goal is to help teams transition from agent prototypes to production-ready environments by mastering the AgentCore Runtime for deployment and the Gateway for secure connectivity and API integration.

Upon completing this training, participants will be equipped to:

• Establish AgentCore Runtime environments and package agents for deployment.
• Expose agents via Gateway using authenticated, rate-limited endpoints.
• Integrate external tools and APIs into agent workflows through stable contracts.
• Implement observability, logging, and usage monitoring for production operations.

Course Format

• Interactive lectures and discussions.
• Hands-on labs focusing on Runtime deployments and Gateway integrations.
• Practical exercises emphasizing reliability, security, and deployment strategies.

Customization Options

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

Antigravity serves as a specialized development platform engineered for the creation of AI-powered, agent-centric applications.

Designed for intermediate developers, this live, instructor-led training—available either online or on-site—focuses on constructing practical, real-world applications that leverage autonomous AI agents within the Antigravity ecosystem.

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

• Engineer applications powered by autonomous and coordinated AI agents.
• Utilize the full suite of Antigravity IDE tools, including the editor, terminal, and browser, for complete end-to-end development.
• Orchestrate complex multi-agent workflows utilizing the Agent Manager.
• Seamlessly integrate agent capabilities into robust, production-ready software architectures.

Delivery Method

• A blend of conceptual presentations and detailed technical demonstrations.
• Comprehensive hands-on sessions featuring guided practical exercises.
• Direct implementation tasks performed within the live Antigravity environment.

Customization Possibilities

• For content specifically tailored to your unique development stack, please reach out to arrange a customized training version.

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

This live, instructor-led training session, available either online or onsite, is tailored for entry-level practitioners seeking to grasp the core principles of Antigravity and appreciate how agent-powered coding environments can boost productivity.

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

• Set up and configure Google Antigravity.
• Navigate and interpret both the Editor View and Manager View interfaces.
• Collaborate with agents to automate routine development tasks effectively.
• Leverage Antigravity for the generation, refinement, and management of project files.

Course Delivery Format

• Instructor-led explanations complemented by live, real-time demonstrations.
• Guided, hands-on exercises centered on utilizing agents.
• Practical exploration of key Antigravity functionalities within a controlled lab setting.

Customization Possibilities

• For a bespoke version of this training tailored to your needs, please reach out to us to discuss a customized program.

Google Antigravity serves as a comprehensive platform designed to create intelligent agents capable of engaging with web applications, navigating browser environments, and managing complex multi-surface workflows.

Offered as an instructor-led, live training session—available either online or onsite—this program is specifically tailored for intermediate-level professionals looking to design, automate, and rigorously test browser-centric workflows using Google Antigravity.

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

• Develop agents that effectively interact with web applications within a browser surface.
• Streamline end-to-end workflows across various browser contexts.
• Verify and resolve agent behavior issues in UI-driven environments.
• Deploy cross-surface automation strategies leveraging Antigravity.

Course Delivery Style

• Instructional guidance complemented by live demonstrations.
• Engaging, hands-on tasks and scenario-driven exercises.
• Practical deployment of agent workflows within an interactive lab setting.

Customization Possibilities

• To align the training with specific organizational goals, please reach out to us for tailored course modifications.

AgentCore streamlines the development, improvement, and oversight of fully managed AI agents by offering a cohesive suite of services designed for large-scale deployment.

This live, instructor-led training, available both online and on-site, is tailored for practitioners with beginner to intermediate experience who are eager to gain practical skills in building production-grade AI agents using AgentCore.

Upon completing this training, participants will be equipped to:

• Grasp the fundamental capabilities of AgentCore in AI agent development.
• Design and set up simple AI agents leveraging managed services.
• Incorporate workflows to augment agent performance.
• Implement and oversee AI agents within production settings.

Course Format

• Engaging lectures and open discussions.
• Practical labs utilizing AgentCore services.
• Structured exercises guiding participants from agent design to deployment.

Customization Opportunities

• For bespoke training needs regarding this course, please reach out to schedule a consultation.

This live, instructor-led training session, delivered online or onsite, targets intermediate-level software developers and engineering teams aiming to build scalable and observable AI systems with Mastra.

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

• Understand Mastra’s architecture and its integration with LLMs and external APIs.
• Design and implement AI agents and workflows in TypeScript.
• Utilize Mastra’s observability and memory tools to monitor and optimize agent performance.
• Deploy production-ready AI applications using Mastra’s framework capabilities.

Mastra is a framework offering structured tools to evaluate, debug, and ensure the reliability of AI agents operating within complex workflows.

This instructor-led live training (available online or onsite) is designed for intermediate-level practitioners seeking to rigorously test agent behavior, enhance reliability, and implement measurable evaluation processes.

Upon completing this training, participants will be able to confidently:

• Apply debugging techniques to identify and resolve issues in agent behavior.
• Evaluate agents using structured metrics, benchmarks, and quality scores.
• Implement tooling and workflows to track reliability, drift, and hallucinations.
• Design QA strategies that guarantee consistent and predictable agent performance.

Course Format

• Interactive lectures and discussions.
• Hands-on exercises for debugging and evaluation.
• 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 training, available both online and onsite, targets intermediate-level practitioners seeking to design, orchestrate, and manage multi-agent workflows at scale.

Upon completion of this training, participants will acquire the following skills:

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

Course Format

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

Customization Options

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

Google Antigravity serves as an agent-centric development platform, designed to orchestrate, oversee, and synchronize AI-powered coding and automation workflows.

Tailored for intermediate-level professionals, this instructor-led live training—available both online and onsite—focalizes on designing, managing, and optimizing multi-agent workflows within the Google Antigravity ecosystem.

By the end of this program, participants will be equipped with the capabilities to:

• Set up agent responsibilities and orchestration pipelines through the Manager interface.
• Create and analyze Antigravity artifacts, such as task lists, plans, logs, and browser recordings.
• Apply verification strategies to maintain transparency and auditability in agent actions.
• Enhance multi-agent collaboration for complex development and operational assignments.

Course Format

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

Customization Options

• For a tailored version of this course, please reach out to discuss specific customization needs.

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

This live, instructor-led training program, available online or onsite, is designed for intermediate to advanced professionals seeking to validate, verify, and secure the outputs generated by AI agents within Antigravity environments.

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

• Evaluate the precision and safety of code artifacts produced by agents.
• Employ structured methodologies to verify tasks executed by agents.
• Effectively analyze browser recordings and trace agent activities.
• Implement QA and security best practices to guarantee the reliability of agent workflows.

Course Format

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

Customization Options

• Tailored scenarios, workflows, and testing examples can be provided upon request.