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 capabilities of Gemini 3 for planning, reasoning, coding, and execution.

Delivered as a live, instructor-led session (either online or onsite), this training is tailored for advanced technical professionals seeking to design, build, and deploy autonomous agents using 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 complex reasoning, strategic planning, and task execution.
• Develop agents within Antigravity capable of analyzing tasks, generating code, and interacting with external tools.
• Integrate Gemini-powered agents seamlessly with enterprise systems and APIs.
• Refine agent behavior to ensure safety, reliability, and optimal performance in complex operational environments.

Course Structure

• Expert-led demonstrations complemented by interactive group discussions.
• Hands-on practical exercises focused on autonomous agent development.
• Real-world implementation strategies utilizing Antigravity, Gemini 3, and supporting cloud infrastructure.

Customization Opportunities

• For teams requiring domain-specific agent behaviors or bespoke integrations, please reach out to tailor the curriculum to your organizational needs.

Google Antigravity serves as a sophisticated framework designed for experimenting with long-term agent lifecycles and the emergence of interactive behaviors.

This live, instructor-led training session, available either online or onsite, is tailored for advanced professionals seeking to design, analyze, and optimize agents that can retain memory, refine their performance through feedback, and evolve over extended operational periods.

Upon completing this course, participants will be equipped with the capability to:

• Structure long-term memory architectures to ensure agent persistence.
• Deploy effective feedback loops to guide agent behavior.
• Assess learning pathways and monitor model drift.
• Embed memory mechanisms within intricate multi-agent ecosystems.

Course Delivery Format

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

Customization Options

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

Mastra serves as a framework facilitating 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 connecting Mastra agents with the broader enterprise ecosystem.

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

• Implement API-driven integrations linking Mastra agents with external services.
• Connect 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.

Format of the Course

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

Course Customization Options

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

AgentCore empowers AI agents with persistent memory, a secure code execution environment, and browser integration, allowing them to deliver engaging, dynamic, and contextually aware experiences.

This instructor-led, live session (available online or on-site) targets intermediate to advanced technical professionals seeking to architect and launch AI agents that retain long-term context, perform on-the-fly calculations, and interact directly with web interfaces.

Upon completion, participants will be equipped to:

• Deploy AgentCore memory to support stateful, context-aware workflows.
• Utilize the secure code interpreter for dynamic data processing and transformations.
• Integrate the browser tool for live data acquisition and UI interaction.
• Develop interactive agents for analytics, customer service, and research applications.

Course Format

• Engaging lectures and facilitated discussions.
• Practical lab exercises focused on AgentCore memory and tools.
• Analytical, automation, and customer support case studies.

Customization Options

• Please reach out to us to discuss customized training options for this course.

AgentCore Runtime & Gateway serves as a complementary AWS service pair designed for packaging, deploying, and securely exposing AI agents, featuring streamlined integrations with external systems.

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

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

• Establish AgentCore Runtime environments and package agents for deployment.
• Expose agents via Gateway using authenticated, rate-limited endpoints.
• Incorporate external tools and APIs into agent workflows through stable contracts.
• Implement 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 emphasizing reliability, security, and rollout strategies.

Course Customization Options

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

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

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

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

• Construct applications that depend on the coordination of autonomous AI agents.
• Leverage the Antigravity IDE, including its editor, terminal, and browser components, for complete end-to-end development cycles.
• Orchestrate multi-agent workflows effectively using the Agent Manager.
• Embed agent capabilities seamlessly into robust, production-grade software systems.

Course Delivery Format

• Combines theoretical presentations with detailed, practical demonstrations.
• Features substantial hands-on exercises and guided practice sessions.
• Involves direct implementation work within the live Antigravity environment.

Customization Availability

• To align content specifically with your development stack, please reach out to arrange a customized version of this training.

Google Antigravity is an agent-first development environment engineered to optimize engineering workflows by leveraging intelligent automation.

This live, instructor-led session, available both online and on-site, targets entry-level professionals aiming to grasp the core principles of Antigravity and explore how agent-driven coding environments boost productivity.

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

• Set up and configure Google Antigravity.
• Navigate and comprehend both the Editor View and Manager View.
• Collaborate efficiently with agents to automate routine development tasks.
• Leverage Antigravity to generate, refine, and oversee project files.

Delivery Method

• Expert-led explanations complemented by live demonstrations.
• Structured exercises emphasizing practical agent usage.
• Hands-on exploration of key Antigravity capabilities within a supervised lab setting.

Tailored Course Options

• Should you require a bespoke training program, please reach out to us to schedule a customized session.

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

This live, instructor-led training, available online or onsite, is designed for intermediate professionals seeking to build, automate, and test browser-based workflows using Google Antigravity.

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

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

Course Format

• Guided instruction complemented by practical demonstrations.
• Hands-on activities and scenario-based exercises.
• Implementation of agent workflows within an interactive lab environment.

Customization Options

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

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

Delivered as a live, instructor-led session (either online or onsite), this course is tailored for practitioners ranging from beginners to intermediate levels who seek practical experience in constructing production-grade AI agents using AgentCore.

Upon completion, participants will be equipped to:

• Grasp the fundamental capabilities of AgentCore for AI agent development.
• Architect and configure basic AI agents leveraging managed services.
• Incorporate workflows to augment agent functionality.
• Deploy and oversee AI agents within production environments.

Course Format

• Engaging lectures combined with interactive discussions.
• Practical labs utilizing AgentCore services.
• Supervised exercises guiding the journey from agent concept to deployment.

Customization Options

• To explore tailored training options for this curriculum, please reach out to arrange a session.

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

By the conclusion of the program, participants will be able to:

• Understand Mastra’s architecture and how it interfaces with LLMs and external APIs.
• Design and implement AI agents and workflows using TypeScript.
• Utilize Mastra’s observability and memory tools to monitor and enhance agent performance.
• Deploy production-ready AI applications by leveraging Mastra’s framework capabilities.

Mastra serves as a framework offering structured tools for evaluating, debugging, and ensuring the reliability of AI agents within complex workflows.

This live training, led by an instructor and available online or on-site, is designed for intermediate practitioners who aim to rigorously test agent behavior, enhance reliability, and establish measurable evaluation processes.

Upon completion of this training, participants will be able to confidently:

• Utilize debugging techniques to identify and resolve agent behavior issues.
• Evaluate agents through structured metrics, benchmarks, and quality scores.
• Implement 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 exercises in debugging and evaluation.
• 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 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 operating within distributed systems.

This instructor-led training, available both online and onsite, targets intermediate 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 to perform 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 in 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 platform designed to coordinate, oversee, and streamline AI-powered coding and automation processes.

This live, instructor-led training (available online or onsite) is tailored for intermediate-level professionals seeking to master the design, administration, and optimization of multi-agent workflows within Google Antigravity.

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

• Set up agent duties and orchestration pipelines via the Manager interface.
• Create and analyze Antigravity artifacts, such as task lists, strategies, logs, and browser session recordings.
• Apply verification methods that keep agent actions clear and auditable.
• Enhance multi-agent cooperation for intricate development and operational assignments.

Course Format

• Structured presentations accompanied by practical demos.
• Scenario-driven exercises addressing real-world workflow obstacles.
• Live, hands-on practice within an active Antigravity workspace.

Customization Options

• If you need a bespoke version of this course, please reach out to discuss specific customization requirements.

Antigravity is a framework designed to handle advanced development workflows driven by autonomous agents.

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

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

• Evaluate the correctness and safety of code artifacts produced by agents.
• Employ systematic methods to confirm the execution of agent tasks.
• Effectively interpret browser recordings and trace agent activities.
• Implement quality assurance and security standards to guarantee the dependability of agent workflows.

Course Format

• Technical sessions guided by instructors, including discussions.
• Practical exercises dedicated to verifying live agent workflows.
• Hands-on testing and validation conducted in a secure lab setting.

Customization Options

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