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

Google Antigravity serves as a dedicated agentic development platform, empowering the creation of autonomous agents that leverage Gemini 3's multimodal strengths to plan, reason, code, and execute actions.

This live, instructor-led training session, available either online or onsite, is tailored for advanced technical professionals seeking to design, 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 complex reasoning, strategic planning, and task execution.
• Create agents within Antigravity capable of analyzing tasks, generating code, and engaging with external tools.
• Seamlessly integrate Gemini-powered agents into existing enterprise systems and API structures.
• Enhance agent performance, safety protocols, and reliability within complex operational environments.

Training Delivery Format

• Live expert demonstrations interspersed with interactive group discussions.
• Practical, hands-on sessions focused on experimenting with autonomous agent development.
• Real-world implementation exercises using Antigravity, Gemini 3, and complementary cloud-based tools.

Customization Options

• For teams requiring domain-specific agent behaviors or bespoke integrations, our team is available to tailor the curriculum to your specific needs.

Google Antigravity serves as a sophisticated framework for exploring long-lived agents and the emergent interactive behaviors they exhibit.

This instructor-led, live training—available both online and onsite—is designed for advanced professionals seeking to design, analyze, and optimize agents that can retain memories, improve through feedback, and evolve over extended operational periods.

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

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

Course Format

• Guided expert discussions complemented by technical demonstrations.
• Practical exploration via structured design challenges.
• Application of learned concepts within simulated agent environments.

Customization Options

• If your organization needs tailored content or specific case studies, please reach out to customize this training experience.

Mastra serves as a robust framework facilitating deep integration among AI agents, APIs, enterprise applications, and external data systems.

This instructor-led training, available both online and onsite, is designed for intermediate-level engineers aiming to create reliable, secure, and scalable integrations between Mastra agents and the wider enterprise ecosystem.

Upon completing this training, participants will be equipped to:

• Execute API-driven integrations between Mastra agents and 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 use.

Course Format

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

Course Customization Options

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

AgentCore empowers AI agents to deliver dynamic, context-aware, and interactive experiences by integrating memory persistence, a secure code interpreter, and a dedicated browser tool.

Designed for intermediate to advanced technical practitioners, this live, instructor-led course (available online or onsite) focuses on designing and deploying AI agents that excel at long-term context retention, real-time computation, and seamless interaction with web interfaces.

Upon completion, participants will be equipped to:

• Deploy AgentCore memory to create stateful, context-aware workflows.
• Utilize the secure code interpreter for complex, dynamic calculations and data transformations.
• Integrate the browser tool to facilitate real-time data retrieval and direct UI interaction.
• Architect interactive agents tailored for analytics, customer support, and research applications.

Training Format

• Engaging lectures and collaborative discussions.
• Practical lab exercises focusing on AgentCore memory and tool integration.
• In-depth case studies covering analytics, automation, and customer support scenarios.

Customization Availability

• Seeking tailored training for this curriculum? Please reach out to arrange a customized session.

AgentCore Runtime and Gateway is a paired AWS service designed to streamline the packaging, deployment, and secure exposure of AI agents, enabling seamless integration with external systems.

This instructor-led live training, available either online or onsite, targets intermediate-level engineering teams looking to transition their AI agents from prototype stages to production. Participants will master the AgentCore Runtime for deployment processes and the Gateway for establishing secure connectivity and robust API integration.

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

• Set up AgentCore Runtime environments and package agents for deployment.
• Expose agents via Gateway using authenticated and rate-limited endpoints.
• Connect 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.
• Practical labs involving Runtime deployments and Gateway integrations.
• Exercises focused on reliability, security, and release strategies.

Customization Options

• For customized training arrangements, please contact us.

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

Delivered as an instructor-led, live training session—available either online or on-site—this course is tailored for intermediate-level developers seeking to build practical applications leveraging autonomous AI agents within the Antigravity ecosystem.

Upon completion, participants will possess the skills necessary to:

• Design applications powered by coordinated, autonomous AI agents.
• Leverage the Antigravity IDE, editor, terminal, and browser for comprehensive end-to-end development cycles.
• Orchestrate multi-agent workflows efficiently using the Agent Manager.
• Seamlessly integrate agent capabilities into production-grade software architectures.

Course Structure

• Blended delivery combining explanatory presentations with detailed technical demonstrations.
• Extensive practical sessions featuring guided exercises and hands-on practice.
• Direct implementation work conducted within the live Antigravity environment.

Customization Options

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

Google Antigravity serves as an agent-centric development ecosystem engineered to optimize engineering processes via intelligent automation.

Delivered by an expert instructor, this live session (available online or in-person) is tailored for entry-level professionals seeking to grasp the essentials of Antigravity and comprehend how agent-enabled coding environments boost efficiency.

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

• Set up and adjust Google Antigravity.
• Explore and interpret both the Editor and Manager interfaces.
• Collaborate seamlessly with agents to streamline basic development activities.
• Leverage Antigravity to create, optimize, and oversee project documentation and files.

Course Delivery Style

• Instructor-led insights complemented by live, real-time walkthroughs.
• Structured practice sessions emphasizing practical agent application.
• Hands-on investigation of key Antigravity capabilities within a secure lab setting.

Tailored Course Options

• Should you need a specialized curriculum, reach out to us to design a bespoke learning path.

Google Antigravity serves as a robust platform for developing intelligent agents designed to navigate web applications, operate within browser environments, and manage complex multi-surface workflows.

This instructor-led session, available both online and onsite, is specifically tailored for intermediate-level professionals seeking to master the construction, automation, and testing of browser-based processes using Google Antigravity.

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

• Develop agents capable of interacting with web applications within a browser surface.
• Streamline end-to-end workflows across various browser contexts.
• Assess and resolve agent performance issues in UI-centric environments.
• Deploy cross-surface automation strategies leveraging Antigravity.

Course Delivery Method

• Expert-led instruction complemented by live demonstrations.
• Engaging, hands-on practical tasks and scenario-based challenges.
• Building agent workflows within an interactive laboratory setting.

Customization Opportunities

• Should you have specific training needs, please reach out to us to customize the curriculum to align with your strategic goals.

AgentCore streamlines the creation, optimization, and oversight of fully managed AI agents by offering a cohesive set of services designed for large-scale deployment.

Delivered as a live, instructor-led session (available online or onsite), this course is tailored for practitioners ranging from beginners to intermediates who are eager to build 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.
• Architect and configure basic AI agents leveraging managed services.
• Integrate workflows to bolster agent performance.
• Deploy and monitor AI agents within production environments.

Course Delivery Structure

• Engaging lectures and open discussions.
• Practical labs utilizing AgentCore services.
• Guided exercises covering the full lifecycle from concept to deployment.

Tailored Training Options

• For those seeking a customized training experience, please reach out to us to make arrangements.

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

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

• Comprehend Mastra's architecture and its interoperability with LLMs and external APIs.
• Structure and deploy AI agents and workflows using TypeScript.
• Utilize Mastra's observability and memory tools to track and optimize agent performance.
• Ship production-ready AI applications by harnessing Mastra's framework capabilities.

Mastra is a framework that offers structured tools for evaluating, debugging, and ensuring the reliability of AI agents operating within complex workflows.

This instructor-led, live training session (available online or on-site) 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 rectify issues in agent behavior.
• Evaluate agents using structured metrics, benchmarks, and quality scores.
• Implement tooling and workflows that monitor reliability, drift, and hallucinations.
• Design QA strategies that guarantee consistent and predictable agent performance.

Course Format

• Interactive lectures and discussions.
• Hands-on exercises in 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 is a framework designed to facilitate sophisticated workflow automation and coordination among multiple AI agents within distributed systems.

This instructor-led live training, available either online or onsite, targets intermediate-level practitioners aiming to design, orchestrate, and manage multi-agent workflows at scale.

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

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

Format of the Course

• Interactive lectures and discussions.
• Hands-on exercises involving workflow design and automation.
• Practical implementation within 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 environment designed for orchestrating, supervising, and coordinating AI-powered coding and automation processes.

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

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

• Define agent responsibilities and build orchestration pipelines via the Manager interface.
• Create and analyze Antigravity artifacts, such as task lists, execution plans, logs, and browser session recordings.
• Apply verification strategies to guarantee that agent actions are transparent and auditable.
• Enhance multi-agent collaboration for intricate development and operational challenges.

Course Structure

• Instructional presentations complemented by practical demonstrations.
• Scenario-driven exercises addressing real-world workflow complexities.
• Practical experimentation within a live Antigravity workspace.

Customization Options

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

Antigravity is a framework designed to represent sophisticated agent-driven development workflows.

This instructor-led live training, available online or onsite, is tailored for intermediate to advanced professionals seeking to validate, verify, 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 precision and safety of code artifacts produced by agents.
• Utilize structured methods to verify tasks executed by agents.
• Effectively analyze browser recordings and trace agent activity.
• Implement QA and security principles 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 performed within a controlled lab setting.

Course Customization

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