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

Google Antigravity serves as a specialized agentic development environment, engineered to create autonomous agents that leverage the multimodal strengths of Gemini 3 for advanced planning, logical reasoning, coding, and execution.

This live, instructor-led training—available both online and onsite—is tailored for senior technical professionals seeking to architect, construct, and deploy autonomous agents utilizing Gemini 3 within the Antigravity ecosystem.

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

• Construct autonomous workflows that harness Gemini 3 for sophisticated reasoning, strategic planning, and task execution.
• Create agents within Antigravity capable of analyzing complex tasks, generating code, and interacting with external tools.
• Seamlessly integrate Gemini-powered agents into enterprise infrastructure and API ecosystems.
• Enhance agent performance by optimizing behavior, safety protocols, and reliability in complex operational settings.

Delivery Format

• Expert-led demonstrations integrated with interactive discussions.
• Practical, hands-on exploration of autonomous agent development.
• Real-world application using Antigravity, Gemini 3, and complementary cloud technologies.

Customization Availability

• Should your organization require domain-specific agent behaviors or bespoke integrations, please reach out to us to customize the program to your needs.

Google Antigravity serves as a sophisticated framework dedicated to exploring long-lived agents and the emergence of complex interactive behaviors.

This live, instructor-led training session, available either online or on-site, is specifically designed for advanced professionals seeking to design, analyze, and optimize agents that possess the ability to retain memories, refine their performance through feedback, and evolve across extended operational periods.

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

• Architect long-term memory structures that ensure agent persistence.
• Develop robust feedback loops that effectively steer agent behavior.
• Assess learning trajectories and monitor model drift.
• Incorporate memory mechanisms into intricate multi-agent ecosystems.

Course Format

• Expert-guided discussions complemented by technical demonstrations.
• Practical exploration via structured design challenges.
• Application of theoretical concepts within simulated agent environments.

Customization Options

• If your organization requires tailored content or case-specific examples, please reach out to customize this training.

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 either online or onsite, targets intermediate-level engineers who aim to create reliable, secure, and scalable integrations between Mastra agents and the wider enterprise ecosystem.

Upon completing this training, participants will be equipped to:

• Implement API-driven integrations connecting 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.
• Hands-on engineering exercises focused on integration and APIs.
• Live lab implementation using real-world enterprise scenarios.

Customization Options

• Custom API scenarios, enterprise system mappings, or data-integration workshops can be provided upon request.

AgentCore equips AI agents with memory persistence, a secure code interpreter, and browser capabilities, enabling them to deliver highly interactive, dynamic, and context-aware user experiences.

Designed for intermediate to advanced technical professionals, this instructor-led live training—available online or onsite—focuses on the design and deployment of AI agents that retain long-term context, perform real-time computations, and interact directly with web interfaces.

Upon completing this training, participants will be equipped to:

• Deploy AgentCore memory to create stateful, context-sensitive workflows.
• Utilize the secure code interpreter for dynamic data calculations and transformations.
• Integrate the browser tool for live data retrieval and UI engagement.
• Architect interactive agents tailored for analytics, customer support, and research applications.

Course Delivery Format

• Engaging lectures paired with open discussions.
• Practical lab sessions focused on AgentCore memory and tool integration.
• Analysis of real-world case studies in analytics, automation, and support contexts.

Customization Options

• For tailored training needs, please reach out to discuss customized curriculum arrangements.

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 dedicated development framework engineered to facilitate the creation of AI-powered, agent-first applications.

Targeted at intermediate-level developers, this live, instructor-led session—available both online and on-site—provides a comprehensive guide to constructing practical applications that leverage autonomous AI agents within the Antigravity ecosystem.

Upon completion of this program, attendees will possess the capability to:

• Engineer solutions that harness the power of independent and synchronized AI agents.
• Leverage the Antigravity IDE, including its editor, terminal, and browser components, for comprehensive end-to-end development cycles.
• Orchestrate complex multi-agent workflows using the Agent Manager.
• Embed agent capabilities into robust, production-ready software architectures.

Course Structure

• A blend of theoretical presentations and detailed, live demonstrations.
• Substantial hands-on opportunities through guided practical exercises.
• Direct implementation tasks performed within the live Antigravity environment.

Customization Opportunities

• Reach out to us to tailor the curriculum to your specific development stack and requirements.

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

This live, instructor-led session—available either online or on-site—is tailored for entry-level professionals seeking to master the core principles of Antigravity and discover how agent-powered coding environments boost efficiency.

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

• Install and set up Google Antigravity.
• Explore and comprehend both the Editor View and Manager View interfaces.
• Collaborate with agents to streamline basic development tasks.
• Leverage Antigravity to create, polish, and oversee project files.

Course Delivery Format

• Instructor-led insights complemented by live demonstrations.
• Supervised practical exercises emphasizing hands-on agent application.
• Hands-on investigation of key Antigravity functionalities within a safe lab setting.

Customization Availability

• For a bespoke training program tailored to your specific needs, please reach out to arrange a customized solution.

Google Antigravity serves as a comprehensive platform designed to develop intelligent agents that engage with web applications, manage browser environments, and orchestrate multi-surface workflows.

This live, instructor-led training session, available both online and on-site, is tailored for intermediate professionals seeking to construct, automate, and validate browser-based processes using Google Antigravity.

By the end of this program, participants will have the ability to:

• Develop agents that 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-centric environments.
• Apply cross-surface automation strategies leveraging Antigravity.

Course Delivery Format

• Structured guidance accompanied by live demonstrations.
• Practical, hands-on tasks and scenario-driven exercises.
• Deployment of agent workflows within an interactive lab setting.

Customization Possibilities

• To adapt the curriculum to your specific goals, please reach out to us for tailored training solutions.

AgentCore streamlines the development, enhancement, and monitoring of fully managed AI agents by offering a unified suite of services designed for large-scale deployment.

This live, instructor-led training, available online or on-site, targets practitioners ranging from beginners to intermediates who are looking to gain practical experience in building production-ready AI agents using AgentCore.

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

• Grasp the core capabilities of AgentCore for developing AI agents.
• Design and configure basic AI agents utilizing managed services.
• Incorporate workflows to augment agent functionality.
• Deploy and oversee AI agents within production environments.

Course Format

• Interactive lectures and discussions.
• Practical labs using AgentCore services.
• Guided exercises covering the journey from concept to deployment.

Customization Options

• To arrange a tailored training experience for this course, please reach out to us.

This live, instructor-led program (available online or onsite) is tailored for mid-level software developers and engineering teams aiming to construct scalable and observable AI systems utilizing Mastra.

Upon completing this training, participants will have the ability to:

• Comprehend Mastra’s underlying architecture and its integration mechanisms with LLMs and external APIs.
• Architect and develop AI agents and workflows utilizing TypeScript.
• Leverage Mastra’s observability and memory capabilities to track and enhance agent performance.
• Release production-grade AI applications by capitalizing on Mastra’s framework features.

Mastra is a framework that offers 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 who want 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 correct 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 to ensure consistent and predictable agent performance.

Course Format

• Interactive lectures and discussions.
• 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 serves as an operational framework tailored to streamline the deployment, scaling, and lifecycle management of AI agents within production environments.

This instructor-led live training (offered online or onsite) targets intermediate to advanced technical professionals who require the ability to operationalize AI agents reliably and efficiently across their production systems.

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

• Deploy Mastra-based AI agents into controlled, production-grade environments.
• Scale agents both 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 that empowers sophisticated workflow automation and coordination across multiple AI agents operating within distributed systems.

This instructor-led, live training (online or onsite) is aimed at intermediate-level practitioners who want to design, orchestrate, and operate multi-agent workflows at scale.

By completing this training, participants will gain the skills to:

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

Format of the Course

• Interactive lecture and discussion.
• Hands-on workflow design and automation exercises.
• Practical implementation in a containerized live-lab environment.

Course Customization Options

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

Google Antigravity serves as an agent-centric development platform designed to coordinate, oversee, and manage AI-powered coding and automation processes.

This live, instructor-led training session—available online or onsite—is tailored for intermediate professionals seeking to build, administer, and refine multi-agent workflows within Google Antigravity.

By the end of this program, participants will have acquired the ability to:

• Set up agent duties and orchestration pipelines through the Manager interface.
• Create and analyze Antigravity artifacts, such as task lists, strategic plans, logs, and browser session recordings.
• Apply verification methods to keep agent actions clear and open to audit.
• Enhance multi-agent cooperation to handle intricate development and operational assignments.

Course Delivery Format

• Structured presentations paired with practical demos.
• Scenario-driven exercises that tackle genuine workflow obstacles.
• Direct experimentation inside an active Antigravity workspace.

Customization Possibilities

• Should you need a customized version of this course, reach out to us to explore potential modifications.

Antigravity is a framework designed to handle sophisticated agent-driven development processes.

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

Upon finishing this course, participants will be equipped to:

• Evaluate the precision and safety of code artifacts created by agents.
• Employ systematic methods to verify tasks executed by agents.
• Effectively examine browser recordings and trace agent activities.
• Implement QA and security standards to guarantee the reliability of agent workflows.

Course Format

• Instructor-led technical presentations and interactive discussions.
• Practical exercises centered on validating genuine agent workflows.
• Hands-on testing and validation conducted within a controlled lab setting.

Course Customization

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