Ethics and Governance of Autonomous AI Agents Training Course

Google Antigravity serves as an agentic development environment tailored for constructing autonomous agents that can plan, reason, code, and execute actions utilizing Gemini 3’s multimodal capabilities.

This instructor-led, live training—available online or onsite—is designed for advanced technical professionals eager to design, build, and deploy autonomous agents using Gemini 3 and the Antigravity environment.

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

• Construct autonomous workflows leveraging Gemini 3 for reasoning, planning, and execution.
• Develop agents within Antigravity capable of analyzing tasks, writing code, and interacting with external tools.
• Integrate Gemini-driven agents into enterprise systems and APIs.
• Optimize agent behavior, ensuring safety and reliability in complex operational environments.

Format of the Course also allows for the evaluation of participants.

• Expert demonstrations combined with interactive discussions.
• Hands-on experimentation with autonomous agent development.
• Practical implementation using Antigravity, Gemini 3, and supporting cloud tools.

Course Customization Options

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

Google Antigravity is a sophisticated framework designed for experimenting with long-lived agents and emergent interactive behaviors.

This instructor-led live training, available either online or on-site, targets advanced professionals who aim to design, analyze, and optimize agents that can retain memories, improve through feedback mechanisms, and evolve over extended operational periods.

Upon completion of this course, participants will acquire the skills to:

• Design long-term memory structures to ensure agent persistence.
• Implement effective feedback loops to influence agent behavior.
• Evaluate learning trajectories and identify model drift.
• Integrate memory mechanisms into complex multi-agent ecosystems.

Format of the Course also allows for the evaluation of participants.

• Expert-led discussions combined with technical demonstrations.
• Hands-on exploration through structured design challenges.
• Application of concepts within simulated agent environments.

Course Customization Options

• If your organization requires tailored content or specific case examples, please contact us to customize 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, is tailored for intermediate-level engineers who aim 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:

• 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 deployment.

Format of the Course also allows for the evaluation of participants.

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

Course Customization Options

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

AgentCore offers memory persistence, a secure code interpreter, and a browser tool, empowering AI agents to create interactive, dynamic, and context-aware experiences.

This instructor-led live training, available online or onsite, targets intermediate to advanced technical practitioners who want to design and deploy AI agents capable of retaining context over time, performing real-time computations, and directly interacting with web user interfaces.

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

• Implement AgentCore memory to create stateful, context-aware workflows.
• Utilize the secure code interpreter for dynamic calculations and data transformations.
• Integrate the browser tool to retrieve real-time data and interact with user interfaces.
• Design interactive agents tailored for analytics, customer support, and research scenarios.

Course Format

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

Customization Options

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

AgentCore Runtime & Gateway is an AWS service pairing for packaging, deploying, and securely exposing AI agents with streamlined integrations to external systems.

This instructor-led, live training (online or onsite) is aimed at intermediate-level engineering teams who wish to move from agent prototypes to production by mastering the AgentCore Runtime for deployment and the Gateway for secure connectivity and API integration.

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

• Stand up AgentCore Runtime environments and package agents for deployment.
• Expose agents through Gateway with authenticated, rate-limited endpoints.
• Integrate external tools and APIs into agent workflows using stable contracts.
• Instrument observability, logging, and usage monitoring for production operation.

Format of the Course also allows for the evaluation of participants.

• Interactive lecture and discussion.
• Hands-on labs with Runtime deployments and Gateway integrations.
• Practical exercises focused on reliability, security, and rollout.

Course Customization Options

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

Antigravity is a development platform designed to build AI-driven, agent-first applications.

This instructor-led, live training (online or onsite) is aimed at intermediate-level developers who wish to create real-world applications using autonomous AI agents within the Antigravity environment.

After completing this training, participants will be equipped to:

• Develop applications that rely on autonomous and coordinated AI agents.
• Use the Antigravity IDE, editor, terminal, and browser for end-to-end development.
• Manage multi-agent workflows with the Agent Manager.
• Integrate agent capabilities into production-grade software systems.

Format of the Course also allows for the evaluation of participants.

• Blended presentations with in-depth demonstrations.
• Extensive hands-on practice and guided exercises.
• Real implementation work inside the Antigravity live environment.

Course Customization Options

• For tailored content aligned with your development stack, please contact us to arrange a customized version of this training.

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

This instructor-led, live training (online or onsite) is aimed at beginner-level practitioners who wish to explore the fundamentals of Antigravity and understand how agent-driven coding environments enhance productivity.

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

• Install and configure Google Antigravity.
• Navigate and understand both the Editor View and Manager View.
• Work effectively with agents to automate simple development tasks.
• Use Antigravity to generate, refine, and manage project files.

Format of the Course also allows for the evaluation of participants.

• Instructor explanations supported by real-time demonstrations.
• Guided exercises focused on hands-on use of agents.
• Practical exploration of core Antigravity features in 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 is a platform designed for constructing agents that can interact with web applications, browser environments, and multi-surface workflows.

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

Upon completing the training, participants will be able to:

• Develop agents capable of interacting with web applications within a browser interface.
• 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 accompanied by live 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, enhancement, and monitoring of fully managed AI agents by offering a unified suite of services designed for scalable deployment.

This instructor-led, live training (available online or onsite) targets beginner to intermediate-level professionals seeking hands-on experience in developing production-ready AI agents using AgentCore.

Upon completing this training, participants will be able to:

• Grasp the core capabilities of AgentCore for AI agent development.
• Design and configure simple AI agents using managed services.
• Integrate workflows to expand agent functionality.
• Deploy and monitor AI agents within production environments.

Course Format

• Interactive lectures and discussions.
• Hands-on labs utilizing AgentCore services.
• Guided exercises progressing from agent conception to deployment.

Course Customization Options

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

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

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

• Grasping Mastra’s architecture and its integration with LLMs and external APIs.
• Designing and building AI agents and workflows using TypeScript.
• Utilizing Mastra’s observability and memory capabilities to track and enhance agent performance.
• Deploying production-ready AI applications by leveraging Mastra’s framework features.

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

This instructor-led training, available online or onsite, targets intermediate practitioners who aim to rigorously test agent behavior, enhance reliability, and establish measurable evaluation processes.

Upon completion, participants will be able to confidently:

• Utilize debugging techniques to identify and rectify issues with agent behavior.
• Assess agents through structured metrics, benchmarks, and quality scores.
• Deploy tools and workflows to monitor reliability, drift, and hallucinations.
• Develop 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 engineered to streamline the deployment, scaling, and lifecycle management of AI agents within production environments.

This instructor-led, live training (available online or onsite) targets intermediate to advanced technical professionals who need to operationalize AI agents reliably and efficiently across their production systems.

Upon completing this training, participants will be capable of:

• Deploying Mastra-based AI agents into controlled, production-grade environments.
• Scaling agents both horizontally and vertically by leveraging platform-native primitives.
• Establishing observability pipelines to monitor agent behavior and performance metrics.
• Optimizing runtime configurations to minimize latency, costs, and operational risks.

Course Format

• Interactive lectures and discussions.
• Hands-on exercises centered on real-world deployment scenarios.
• Live-lab implementation utilizing containerized and orchestrated environments.

Customization Options

• Customization of topics, hands-on labs, or industry-specific scenarios is available upon request.

Mastra is a framework designed to facilitate advanced workflow automation and coordination among multiple AI agents within distributed systems.

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

Upon completion, participants will acquire the ability to:

• Design complex workflows leveraging 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.

Course Format

• Interactive lectures and discussions.
• Hands-on exercises in workflow design and automation.
• Practical implementation within a containerized, live-lab environment.

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, supervise, and coordinate AI-driven coding and automation workflows.

This instructor-led live training, available online or onsite, targets intermediate-level professionals looking to design, manage, and optimize multi-agent workflows within the Google Antigravity ecosystem.

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

• Configure agent responsibilities and orchestration pipelines using the Manager interface.
• Generate and interpret Antigravity artifacts, such as task lists, plans, logs, and browser recordings.
• Implement verification strategies to ensure agent actions remain transparent and auditable.
• Optimize multi-agent collaboration for complex development and operational tasks.

Course Format

• Guided presentations and practical demonstrations.
• Scenario-based exercises focused on real-world workflow challenges.
• Hands-on experimentation within a live Antigravity workspace.

Customization Options

• If you require a customized version of this course, please contact us to discuss your specific needs.

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

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

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

• Evaluate the accuracy and safety of code artifacts produced by agents.
• Employ structured techniques to verify tasks executed by agents.
• Effectively analyze browser recordings and trace agent activity.
• Apply quality assurance and security principles to ensure the reliability of agent workflows.

Course Format

• Instructor-guided technical briefings and discussions.
• Practical exercises focused on verifying real-world agent workflows.
• Hands-on testing and validation within a controlled lab environment.

Course Customization Options

• Adaptation of scenarios, workflows, and testing examples is available upon request.