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

Google Antigravity is a specialized environment for agentic development, designed to create autonomous agents that leverage Gemini 3’s multimodal strengths to plan, reason, code, and execute actions effectively.

This instructor-led live session, available either online or on-site, is tailored for senior technical professionals looking to design, construct, and deploy autonomous agents utilizing Gemini 3 and the Antigravity platform.

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

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

Course Format

• Comprehensive expert demonstrations paired with interactive discussions.
• Practical hands-on experiments focused on autonomous agent development.
• Real-world implementation using Antigravity, Gemini 3, and relevant cloud tools.

Customization Options

• Should your team require specific domain-based agent behaviors or unique integrations, please reach out to us to customize the program.

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

Tailored for advanced professionals, this live, instructor-led training—available online or onsite—focuses on designing, analyzing, and optimizing agents that can retain memory, refine their performance through feedback, and evolve over extended operational periods.

By the end of this course, participants will possess the capability to:

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

Course Delivery Format

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

Customization Opportunities

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

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.

AgentCore equips AI agents with the ability to deliver dynamic, context-aware, and interactive experiences by providing memory persistence, a secure code interpreter, and an integrated browser tool.

This instructor-led training, available online or onsite, is tailored for intermediate to advanced technical professionals looking to design and deploy AI agents that retain long-term context, perform on-the-fly calculations, and interact directly with web user interfaces.

Upon completion, participants will be able to:

• Implement AgentCore memory to enable stateful and context-aware workflows.
• Utilize the secure code interpreter for dynamic data transformations and calculations.
• Integrate the browser tool to facilitate real-time data retrieval and UI interactions.
• Architect interactive agents for diverse applications including analytics, customer support, and research.

Course Format

• Interactive lectures and guided discussions.
• Hands-on lab exercises focused on AgentCore memory and tools.
• Case studies covering analytics, automation, and customer support scenarios.

Customization Options

• For a customized training experience, please reach out to us to arrange specific requirements.

AgentCore Runtime & Gateway is a pair of AWS services designed to simplify the packaging, deployment, and secure exposure of AI agents, enabling streamlined integrations with external systems.

This instructor-led live training, available online or onsite, targets intermediate-level engineering teams aiming to transition from agent prototypes to production. The course focuses on mastering the AgentCore Runtime for deployment and the Gateway for secure connectivity and API integration.

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

• Provision 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 effective production operations.

Course Format

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

Course Customization Options

• For customized training arrangements, please contact us directly.

Antigravity serves as a specialized platform for engineering AI-centric, agent-first applications.

This live, instructor-led course (available online or on-site) is tailored for intermediate developers aiming to construct practical applications utilizing autonomous AI agents within the Antigravity ecosystem.

Upon completion, learners will possess the ability to:

• Design applications powered by autonomous and coordinated AI agents.
• Leverage the Antigravity IDE, editor, terminal, and browser for comprehensive development.
• Orchestrate multi-agent workflows via the Agent Manager.
• Incorporate agent functionalities into production-ready software systems.

Course Format

• Combines presentations with detailed demonstrations.
• Offers substantial hands-on practice and guided exercises.
• Includes practical implementation within the live Antigravity environment.

Customization Options

• Contact us to tailor content to your specific development stack.

Google Antigravity is an agent-focused development environment engineered to optimize engineering processes via intelligent automation.

This live, instructor-led training session, available either online or on-site, is tailored for entry-level professionals eager to delve into the core principles of Antigravity and grasp how agent-centric coding environments boost productivity.

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

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

Training Structure

• Instructor-led explanations complemented by live demonstrations.
• Structured practical tasks centered on the direct application of agents.
• Hands-on investigation of key Antigravity functionalities within a safe laboratory setting.

Options for Customization

• Should you need a specialized adaptation of this curriculum, please reach out to us to design a bespoke program.

Google Antigravity serves as a robust platform for developing agents that engage with web applications, navigate browser environments, and manage complex multi-surface workflows.

Delivered as instructor-led live training, either online or on-site, this program is designed for intermediate professionals seeking to construct, automate, and rigorously test browser-based workflows using Google Antigravity.

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

• Develop agents that interact seamlessly with web applications within a browser surface.
• Streamline end-to-end workflows across diverse browser contexts.
• Validate agent performance and troubleshoot issues in UI-driven environments.
• Deploy cross-surface automation strategies leveraging Antigravity.

Course Format

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

Customization Options

• Contact us to discuss tailored training requirements and align the course with your specific objectives.

AgentCore streamlines the creation, refinement, and monitoring of fully managed AI agents by offering a comprehensive suite of services designed for scalable deployment.

This live, instructor-led training, available both online and on-site, is tailored for practitioners ranging from beginners to intermediate levels who seek practical experience in developing production-ready 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 configure basic AI agents utilizing managed services.
• Integrate workflows to augment agent functionality.
• Deploy and oversee AI agents within production environments.

Course Format

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

Customization Options

• To arrange a customized version of this training, please reach out to us.

This live, instructor-led training session (available online or onsite) is tailored for mid-level software engineers and technical teams seeking to construct scalable, observable AI systems utilizing Mastra.

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

• Grasp Mastra's architectural design and its methods for integrating with LLMs and external APIs.
• Architect and develop AI agents and workflows using TypeScript.
• Leverage Mastra's observability and memory capabilities to oversee and refine agent performance.
• Launch production-grade AI applications by utilizing Mastra's framework features.

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.

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 serves as a framework designed to facilitate advanced workflow automation and coordination among multiple AI agents within distributed systems.

This instructor-led, live training (available online or on-site) targets intermediate-level professionals aiming to design, orchestrate, and manage multi-agent workflows at scale.

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

• Create complex workflows utilizing Mastra's orchestration capabilities.
• Coordinate multiple agents executing parallel or dependent tasks.
• Deploy 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 for workflow design and automation.
• Practical implementation within a containerized live-lab environment.

Customization Options

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

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

This instructor-led live training, available online or onsite, is tailored for intermediate-level professionals aiming to architect, control, and refine multi-agent workflows within the Google Antigravity ecosystem.

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

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

Course Format

• Facilitated presentations accompanied by live practical demonstrations.
• Scenario-driven exercises addressing real-world workflow complexities.
• Interactive experimentation within an active Antigravity workspace.

Customization Opportunities

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

Antigravity serves as a framework facilitating sophisticated agent-driven development processes.

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

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

• Evaluate the accuracy and safety of code artifacts produced by agents.
• Leverage structured methods to validate tasks executed by agents.
• Examine browser recordings and track agent activities with precision.
• Implement QA and security standards to guarantee the reliability of agent workflows.

Course Format

• Instructor-led technical briefings and interactive discussions.
• Practical exercises centered on validating authentic agent workflows.
• Hands-on testing and verification within a secure lab setting.

Customization Options

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