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 leverage Gemini 3’s multimodal capabilities for planning, reasoning, coding, and execution.

Delivered by an instructor, this live training session (available online or on-site) is tailored for advanced technical professionals aiming to design, construct, and deploy autonomous agents utilizing Gemini 3 within the Antigravity ecosystem.

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

• Construct autonomous workflows that harness Gemini 3 for reasoning, planning, and execution.
• Create agents in Antigravity capable of analyzing tasks, generating code, and interacting with various tools.
• Integrate Gemini-driven agents into enterprise systems and APIs.
• Optimize agent behavior, ensuring safety and reliability in complex environments.

Course Format

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

Customization Options

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

Google Antigravity serves as a sophisticated framework designed for experimenting with persistent agents and the emergent interactive behaviors they exhibit.

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

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

• Architect long-term memory structures that ensure agent persistence.
• Deploy effective feedback loops to guide and shape 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.
• Hands-on exploration through structured design challenges.
• Application of theoretical concepts to simulated agent environments.

Customization Options

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

Mastra serves as a framework that facilitates deep integration between AI agents, APIs, enterprise applications, and external data systems.

This instructor-led live training, available either online or on-site, is designed for intermediate-level engineers looking 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 use.

Course Format

• Interactive lectures and discussions.
• Practical exercises in integration engineering and API development.
• Live-lab implementation based on 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 a browser tool, empowering them to deliver dynamic, context-aware, and interactive experiences.

This live, instructor-led training (available online or onsite) is tailored for intermediate to advanced technical professionals seeking to build and deploy AI agents that retain long-term context, perform real-time computations, and interact directly with web interfaces.

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

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

Course Format

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

Course Customization

• Contact us to discuss arranging a customized training experience for this course.

AgentCore Runtime & Gateway is a paired AWS service designed to package, deploy, and securely expose AI agents while providing 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. Participants will master the AgentCore Runtime for deployment and the Gateway for secure connectivity and API integration.

Upon completing this training, participants will be capable of:

• Setting up AgentCore Runtime environments and packaging agents for deployment.
• Exposing agents via the Gateway using authenticated, rate-limited endpoints.
• Integrating external tools and APIs into agent workflows using stable contracts.
• Implementing observability, logging, and usage monitoring for production operations.

Course Format

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

Customization Options

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

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

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

Upon completion, participants will be fully prepared to:

• Create applications that leverage autonomous and coordinated AI agents.
• Leverage the Antigravity IDE, including its editor, terminal, and browser, for comprehensive end-to-end development.
• Oversee multi-agent workflows using the Agent Manager.
• Incorporate agent capabilities into robust, production-grade software systems.

Course Structure

• Combines theoretical presentations with detailed, in-depth demonstrations.
• Includes extensive hands-on practice and structured guided exercises.
• Features real-world implementation tasks within the live Antigravity environment.

Customization Options

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

Google Antigravity represents a new class of agent-centric development environments built to optimize engineering processes via intelligent automation.

This live, instructor-led session—available either online or on-site—is tailored for entry-level practitioners eager to delve into the core principles of Antigravity and gain insights into how agent-based coding ecosystems boost operational efficiency.

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

• Set up and configure Google Antigravity.
• Master the navigation of both the Editor View and Manager View.
• Collaborate with agents to automate routine development activities.
• Leverage Antigravity for the generation, refinement, and administration of project files.

Instructional Methodology

• Expert-led explanations complemented by live, real-time demonstrations.
• Interactive, guided exercises emphasizing the practical application of agents.
• A hands-on exploration of essential Antigravity capabilities within a structured lab setting.

Bespoke Training Options

• Should you require a specialized adaptation of this curriculum, we invite you to reach out to design a tailored program.

Google Antigravity is a platform designed for building agents that interact with web applications, browser environments, and multi-surface workflows.

This instructor-led, live training (available online or onsite) is aimed at intermediate-level professionals who wish to build, automate, and test browser-based workflows using Google Antigravity.

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

• Create agents that interact with web applications in a browser surface.
• Automate end-to-end workflows across browser contexts.
• Validate and troubleshoot agent behavior in UI-driven environments.
• Implement cross-surface automation strategies using Antigravity.

Format of the Course

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

Course Customization Options

• For customized training requirements, please contact us to tailor the course to your objectives.

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

This instructor-led session, available either online or onsite, is tailored for practitioners ranging from beginners to intermediates who seek practical experience in developing production-grade AI agents using AgentCore.

Upon completion of 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 functionality.
• Deploy and oversee AI agents within production environments.

Course Delivery Style

• Engaging lectures combined with open discussions.
• Practical labs focused on AgentCore services.
• Structured exercises guiding the journey from concept to deployment.

Tailored Training Options

• If you require a customized version of this training, please get in touch with us to schedule a consultation.

This instructor-led, live training (online or onsite) is designed for intermediate-level software developers and engineering teams aiming to build scalable, observable AI systems using Mastra.

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

• Comprehend Mastra’s architecture and its connectivity with LLMs and external APIs.
• Design and implement AI agents and workflows in TypeScript.
• Utilize Mastra’s observability and memory tools for monitoring and improving agent performance.
• Deploy production-ready AI applications by leveraging Mastra’s framework features.

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

This instructor-led live training, available online or on-site, targets 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.
• Assess agents using structured metrics, benchmarks, and quality scores.
• Deploy tooling and workflows to monitor reliability, detect drift, and address 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 utilizing 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 that enables 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 orchestrate, monitor, and coordinate AI-driven coding and automation workflows.

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

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

• Define agent responsibilities and orchestration pipelines directly within the Manager interface.
• Create and analyze Antigravity artifacts, such as task lists, strategic plans, execution logs, and browser session recordings.
• Apply verification strategies that ensure agent actions are fully transparent and subject to audit.
• Enhance multi-agent collaboration to handle complex development and operational requirements.

Training Format

• Expert-led presentations complemented by practical demonstrations.
• Scenario-driven exercises addressing real-world workflow challenges.
• Practical experimentation conducted in a live Antigravity workspace.

Customization Options

• Should you require a tailored version of this curriculum, please reach out to discuss specific customization possibilities.

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

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

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

• Evaluate the accuracy and safety of code artifacts produced by agents.
• Employ structured methodologies to validate tasks executed by agents.
• Analyze browser recordings and trace agent activity with precision.
• Implement QA and security principles to guarantee the dependability of agent workflows.

Course Format

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

Customization Options

• Scenarios, workflows, and testing examples can be adapted upon request to better fit specific needs.