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 an instructor-led, live training session available online or onsite, this program targets advanced technical professionals seeking to design, build, and deploy autonomous agents using Gemini 3 within the Antigravity ecosystem.

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

• Construct autonomous workflows that leverage Gemini 3 for complex reasoning, strategic planning, and task execution.
• Develop agents within Antigravity capable of analyzing objectives, generating code, and interacting with various tools.
• Seamlessly integrate Gemini-driven agents with existing enterprise systems and APIs.
• Enhance the behavior, safety, and reliability of agents operating within complex environments.

Course Format

• Expert-led demonstrations integrated with interactive discussions.
• Hands-on practical exercises focused on autonomous agent development.
• Real-world implementation utilizing Antigravity, Gemini 3, and complementary cloud tools.

Course Customization Options

• Should your team require domain-specific agent behaviors or custom integrations, please contact us to tailor the program to your specific needs.

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

Tailored for advanced professionals, this live, instructor-led training—available both online and on-site—focuses on the design, analysis, and optimization of agents that retain memory, refine their performance through feedback, and evolve over extended operational periods.

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

• Architect long-term memory structures that ensure agent persistence.
• Implement robust feedback loops to guide and shape agent behavior.
• Assess learning trajectories and identify potential model drift.
• Integrate memory mechanisms into intricate multi-agent ecosystems.

Course Format

• Engaging expert discussions complemented by technical demonstrations.
• Practical, hands-on exploration via structured design challenges.
• Application of core concepts within simulated agent environments.

Customization Options

• If your organization requires specific content adjustments or case-based examples, please reach out to us to tailor this training to your needs.

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

This instructor-led, live training (available online or on-site) is designed for intermediate-level engineers who want to build reliable, secure, and scalable integrations between Mastra agents and the broader enterprise ecosystem.

Upon completing this training, participants will be able to:

• Implement API-driven integrations between Mastra agents and external services.
• Connect enterprise data systems and tools to automated agent workflows.
• Apply secure data exchange and authentication best practices.
• Design integration layers that are scalable, maintainable, and production-ready.

Format of the Course

• Interactive lecture and discussion.
• Hands-on integration engineering and API exercises.
• Live-lab implementation using real-world enterprise scenarios.

Course Customization Options

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

AgentCore offers a robust environment featuring persistent memory, a secure code interpreter, and browser-based tools, empowering AI agents to create highly interactive, dynamic, and context-sensitive experiences.

This live, instructor-led training (available online or onsite) is tailored for intermediate to advanced technical professionals looking to architect and deploy AI agents with long-term context retention, real-time computational capabilities, and direct web UI engagement.

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

• Utilize AgentCore memory to build stateful, context-aware workflows.
• Harness the secure code interpreter for dynamic computations and data transformations.
• Incorporate the browser tool for real-time data fetching and interactive UI manipulation.
• Develop interactive agents suited for analytics, customer support, and research applications.

Course Delivery Format

• Engaging lectures paired with open discussions.
• Practical lab sessions focusing on AgentCore memory and integrated tools.
• Analysis of case studies in analytics, automation, and support contexts.

Customization Possibilities

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

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

This instructor-led, live training (available online or onsite) is tailored for intermediate-level engineering teams looking to transition from agent prototypes to production-ready solutions. Participants will master the AgentCore Runtime for deployment and the Gateway for secure connectivity and API integration.

Upon completing this training, participants will be equipped to:

• Establish 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 using 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 focused on reliability, security, and rollout strategies.

Course Customization Options

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

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

This live, instructor-led training, available online or on-site, is targeted at intermediate developers looking to build practical applications that leverage autonomous AI agents within the Antigravity ecosystem.

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

• Create applications that leverage autonomous and coordinated AI agents.
• Utilize the Antigravity IDE, editor, terminal, and browser for complete development cycles.
• Orchestrate multi-agent workflows using the Agent Manager.
• Embed agent functionalities into robust, production-grade software systems.

Instructional Approach

• Combines conceptual presentations with detailed demonstrations.
• Offers extensive hands-on practice through guided exercises.
• Involves real-world implementation tasks within the live Antigravity environment.

Customization Availability

• To align content specifically with your technology 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 via intelligent automation.

This live, instructor-led training session, available both online and onsite, is tailored for entry-level practitioners eager to grasp the core principles of Antigravity and recognize how agent-driven coding environments boost productivity.

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

• Install and configure Google Antigravity.
• Navigate and comprehend both the Editor View and Manager View interfaces.
• Collaborate with agents to automate routine development tasks effectively.
• Leverage Antigravity for the generation, refinement, and management of project files.

Course Format

• Instructor-led explanations complemented by live demonstrations.
• Hands-on guided exercises centered on the practical application of agents.
• Practical investigation of essential Antigravity features within a controlled lab setting.

Customization Options

• Should you require a tailored version of this training, please reach out to us to discuss a customized program.

Google Antigravity is a platform designed for creating agents that can interact with web applications, browser environments, and workflows spanning multiple interfaces.

This live, instructor-led training (available online or on-site) is tailored for intermediate professionals aiming to build, automate, and test browser-based workflows using Google Antigravity.

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

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

Course Format

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

Course Customization Options

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

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

This live, instructor-led session (available online or on-site) is tailored for practitioners ranging from beginner to intermediate levels who are eager to develop 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 set up basic AI agents utilizing managed services.
• Connect workflows to bolster agent performance.
• Release and oversee AI agents within production settings.

Delivery Format

• Engaging lectures and open discussions.
• Practical labs focused on AgentCore services.
• Step-by-step exercises guiding you from concept to deployment.

Customization Options

• For a tailored training experience, please reach out to us to discuss your specific needs.

This live, instructor-led training, available online or on-site, is designed for intermediate software developers and engineering teams aiming to build scalable, observable AI systems with Mastra.

After finishing this training, participants will be capable of:

• Understanding Mastra’s architecture and how it connects with LLMs and external APIs.
• Designing and building AI agents and workflows in TypeScript.
• Utilizing Mastra’s observability and memory tools to monitor and refine agent performance.
• Deploying production-ready AI applications by harnessing Mastra’s framework capabilities.

Mastra is a framework that offers 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 onsite) targets intermediate-level professionals seeking to rigorously test agent behavior, enhance reliability, and establish measurable evaluation processes.

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

• Apply debugging techniques to identify and resolve issues in agent behavior.
• Evaluate agents using structured metrics, benchmarks, and quality scores.
• Implement tools 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 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 coordinate multiple AI agents within distributed systems.

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

Upon completion, participants will acquire the skills to:

• Architect complex workflows leveraging Mastra’s orchestration features.
• Coordinate multiple agents executing parallel or dependent tasks.
• Deploy monitoring and debugging tools for effective workflow management.
• Enhance orchestration logic to improve reliability, throughput, and automation efficiency.

Course Format

• Interactive lectures and discussions.
• Practical exercises focused on workflow design and automation.
• Real-world implementation within a containerized live-lab environment.

Customization Options

• Upon request, the course can include customized automation scenarios, enterprise integrations, or specific workflow patterns.

Google Antigravity serves as a specialized, agent-centric platform designed to coordinate, monitor, and streamline AI-powered coding and automation processes.

This live, instructor-led session—available online or on-site—is tailored for mid-level professionals looking to architect, oversee, and enhance multi-agent workflows within the Google Antigravity environment.

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

• Define agent responsibilities and build orchestration pipelines using the Manager interface.
• Create and analyze Antigravity artifacts, such as task lists, strategic plans, logs, and browser session recordings.
• Establish verification protocols to maintain transparency and auditability in agent operations.
• Refine multi-agent collaboration to tackle complex development and operational challenges efficiently.

Delivery Format

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

Customization Opportunities

• For a version of this course adapted to specific organizational needs, please reach out to discuss potential customization options.

Antigravity serves as a framework designed to manage advanced agent-driven development processes.

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

By the end of this training, participants will have the capability to:

• Evaluate the precision and safety of code artifacts created by agents.
• Leverage structured methodologies to confirm the successful execution of agent tasks.
• Efficiently interpret browser recordings and track agent activities.
• Implement QA and security best practices to guarantee the reliability of agent workflows.

Course Format

• Instructor-facilitated technical presentations and interactive discussions.
• Practical exercises dedicated to validating real-world agent workflows.
• Hands-on testing and verification sessions conducted in a controlled lab setting.

Customization Options

• Scenario, workflow, and testing example adaptations are available upon request.