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 planning, reasoning, coding, and execution.

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

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

• Construct autonomous workflows that utilize Gemini 3 for reasoning, strategic planning, and task execution.
• Create agents within Antigravity capable of analyzing complex tasks, generating code, and engaging with external tools.
• Seamlessly integrate Gemini-powered agents with existing enterprise systems and APIs.
• Enhance the behavior, safety, and reliability of agents operating in complex environments.

Course Format

• Expert-led demonstrations paired with interactive group discussions.
• Hands-on sessions focused on the practical development of autonomous agents.
• Real-world implementation utilizing Antigravity, Gemini 3, and complementary cloud-based tools.

Customization Options

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

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

Delivered as an instructor-led, live training session (either online or onsite), this program is specifically tailored for advanced-level professionals. It focuses on designing, analyzing, and optimizing agents that possess the ability to retain memories, refine their performance through feedback, and evolve over extended operational periods.

Upon completing this course, participants will acquire the proficiency 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.
• Integrate memory mechanisms into intricate multi-agent ecosystems.

Course Format

• In-depth expert discussions complemented by technical demonstrations.
• Practical, hands-on exploration driven by structured design challenges.
• Application of theoretical concepts within simulated agent environments.

Customization Options

• Should your organization require specialized content or case-specific examples, please reach out to discuss customizing 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 online or onsite, targets intermediate-level engineers aiming to construct reliable, secure, and scalable integrations between Mastra agents and the broader enterprise ecosystem.

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

• Develop API-driven integrations linking 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.

Course Format

• Interactive lectures and discussions.
• Practical exercises in integration engineering and API development.
• Live-lab implementation using real-world enterprise scenarios.

Customization Options

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

AgentCore equips AI agents with persistent memory, a secure code interpreter, and a browser tool, empowering them to deliver interactive, dynamic, and context-aware experiences.

This instructor-led live training, available online or onsite, is tailored for intermediate to advanced technical practitioners seeking to design and deploy AI agents capable of long-term context retention, real-time computation, and direct interaction with web interfaces.

Upon completion, participants will be equipped to:

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

Course Format

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

Customization Options

• To request a customized training experience for this course, please contact us to coordinate details.

AgentCore Runtime & Gateway is a pair of AWS services 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 agent prototypes into production environments. Participants will master the AgentCore Runtime for deployment tasks and the Gateway for secure connectivity and API integration.

Upon completion of this training, participants will be capable of:

• Setting up AgentCore Runtime environments and packaging agents for deployment.
• Exposing agents through 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 focused on Runtime deployments and Gateway integrations.
• Practical exercises emphasizing reliability, security, and deployment strategies.

Course Customization Options

• To request customized training for this course, please contact us to make arrangements.

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

This live, instructor-led training—available both online and onsite—targets intermediate-level developers aiming to build practical solutions by leveraging autonomous AI agents within the Antigravity ecosystem.

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

• Construct applications dependent on autonomous and coordinated AI agents.
• Leverage the Antigravity IDE, editor, terminal, and browser components for comprehensive end-to-end development.
• Orchestrate multi-agent workflows effectively using the Agent Manager.
• Integrate agent functionalities into robust, production-grade software architectures.

Instructional Approach

• A combination of theoretical presentations and detailed, in-depth demonstrations.
• Substantial hands-on practice accompanied by structured guided exercises.
• Practical implementation tasks executed directly within the live Antigravity environment.

Customization Availability

• To receive tailored content that aligns with your specific technology stack, please reach out to arrange a customized version of this training.

Google Antigravity is an agent-first development environment designed to optimize engineering workflows through intelligent automation.

This live, instructor-led training (available online or onsite) is tailored for beginner-level practitioners looking to explore the fundamentals of Antigravity and gain insight into how agent-driven coding environments boost productivity.

Upon completing this training, participants will be equipped to:

• Install and configure Google Antigravity.
• Navigate and comprehend both the Editor View and Manager View.
• Collaborate effectively with agents to automate straightforward development tasks.
• Leverage Antigravity to generate, refine, and manage project files.

Course Format

• Instructor-led explanations accompanied by real-time demonstrations.
• Guided exercises emphasizing hands-on interaction with agents.
• Practical exploration of core Antigravity features within a controlled lab environment.

Course Customization Options

• If you require a tailored version of this training, please contact us to arrange a customized program.

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

This live, instructor-led course, available both online and onsite, is designed for intermediate-level professionals looking to master the construction, automation, and testing of browser-based processes using Google Antigravity.

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

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

Course Structure

• Expert-guided instruction accompanied by live demonstrations.
• Engaging, hands-on activities and scenario-based practical exercises.
• Deployment of agent workflows within an interactive lab setting.

Customization Options

• Contact us to tailor the course content to align with your specific training objectives.

AgentCore streamlines the development, enhancement, and oversight of fully managed AI agents by offering a comprehensive suite of services designed for scalable deployment.

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

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

• Grasp the fundamental capabilities of AgentCore for AI agent creation.
• Design and set up basic AI agents leveraging managed services.
• Incorporate workflows to augment agent functionality.
• Deploy and oversee AI agents within production environments.

Course Delivery Method

• Interactive lectures and discussions.
• Practical labs utilizing AgentCore services.
• Guided exercises covering the entire process from agent conception to deployment.

Customization Availability

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

This live, instructor-led training—available online or onsite—is tailored for intermediate-level software developers and engineering teams seeking to construct scalable and observable AI systems with Mastra.

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

• Comprehend Mastra’s architecture and its integration mechanisms with LLMs and external APIs.
• Architect and build AI agents and workflows using TypeScript.
• Leverage Mastra’s observability and memory capabilities to track and enhance agent performance.
• Launch production-ready AI applications by utilizing Mastra’s core framework features.

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

This instructor-led live training, available online or onsite, targets intermediate practitioners seeking to rigorously test agent behaviour, enhance reliability, and implement measurable evaluation processes.

Upon completion, participants will be able to confidently:

• Utilise debugging techniques to identify and resolve issues in agent behaviour.
• Assess agents using structured metrics, benchmarks, and quality scores.
• Deploy tooling and workflows to monitor reliability, drift, and hallucinations.
• Design QA strategies that guarantee consistent and predictable agent performance.

Course Format

• Interactive lectures and discussions.
• Practical debugging and evaluation exercises.
• Live-lab analysis of agent behaviour using observability tools.

Course Customisation Options

• Bespoke 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 that facilitates sophisticated workflow automation and coordination across multiple AI agents operating within distributed systems.

This instructor-led, live training (available online or onsite) is designed for 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 utilizing 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.

Course Format

• Interactive lectures and discussions.
• Hands-on workflow design and automation exercises.
• 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 platform designed to oversee, manage, and coordinate AI-driven coding and automation workflows.

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

Upon completing this program, participants will acquire 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 strategies that guarantee agent actions remain transparent and subject to audit.
• Enhance multi-agent collaboration for handling complex development and operational duties.

Course Delivery Format

• Structured presentations combined with practical demonstrations.
• Scenario-driven exercises addressing real-world workflow challenges.
• Interactive, hands-on experimentation within a live Antigravity workspace.

Customization Options

• Should you require a customized version of this course, please reach out to us to explore specific tailoring possibilities.

Antigravity serves as a framework for sophisticated agent-driven development workflows.

This live, instructor-led training, available both online and on-site, is designed for intermediate to advanced professionals seeking to validate, verify, 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 precision and safety of code artifacts produced by agents.
• Employ structured methodologies to verify tasks executed by agents.
• Effectively interpret browser recordings and track agent activity.
• Implement QA and security best practices to guarantee the dependability of agent workflows.

Course Format

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

Customization Options

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