Ethics and Governance of Autonomous AI Agents Training Course

Google Antigravity is a sophisticated development environment designed for creating autonomous agents that can plan, reason, code, and act using Gemini 3’s advanced multimodal capabilities.

This instructor-led, live training (available both online and onsite) is targeted at advanced-level technical professionals who are interested in designing, building, and deploying autonomous agents with the help of Gemini 3 and the Antigravity environment.

Upon completing this training, participants will be equipped to:

• Develop autonomous workflows that leverage Gemini 3 for reasoning, planning, and execution.
• Create agents in Antigravity that can analyze tasks, write code, and interact with various tools.
• Integrate Gemini-driven agents into enterprise systems and APIs.
• Enhance the behavior, safety, and reliability of agents in complex environments.

Format of the Course

• Expert-led demonstrations paired with interactive discussions.
• Hands-on experience in developing autonomous agents.
• Practical implementation using Antigravity, Gemini 3, and associated cloud tools.

Course Customization Options

• If your team needs specific agent behaviors or custom integrations for a particular domain, please contact us to customize the program accordingly.

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

This instructor-led, live training (available both online and onsite) is targeted at advanced-level professionals who aim to design, analyze, and optimize agents that can retain memories, improve through feedback, and evolve over extended operational periods.

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

• Develop long-term memory structures for agent persistence.
• Implement effective feedback mechanisms to influence agent behavior.
• Assess learning trajectories and model drift.
• Integrate memory systems into complex multi-agent environments.

Format of the Course

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

Course Customization Options

• If your organization requires customized content or case-specific examples, please contact 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 onsite) 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 equipped to:

• Implement API-driven integrations between Mastra agents and 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 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 can be arranged upon request.

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

This instructor-led, live training (online or onsite) is designed for intermediate to advanced technical practitioners who want to design and deploy AI agents capable of maintaining long-term context, performing on-the-fly computations, and interacting directly with web interfaces.

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

• Implement AgentCore memory to create stateful, context-aware workflows.
• Leverage the secure code interpreter for dynamic calculations and transformations.
• Integrate the browser tool for real-time data retrieval and user interface interaction.
• Design interactive agents for use in analytics, customer support, and research scenarios.

Format of the Course

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

Course Customization Options

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

AgentCore Runtime & Gateway is an AWS service designed to package, deploy, and securely expose AI agents while facilitating streamlined integrations with external systems.

This instructor-led, live training (available online or onsite) is targeted at intermediate-level engineering teams who are looking to transition 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:

• Set 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.
• Implement observability, logging, and usage monitoring for production operations.

Format of the Course

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

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 utilize autonomous and coordinated AI agents.
• Use the Antigravity IDE, editor, terminal, and browser for comprehensive development processes.
• Manage multi-agent workflows using the Agent Manager.
• Integrate agent capabilities into production-grade software systems.

Format of the Course

• A combination of presentations with detailed demonstrations.
• Extensive hands-on practice and guided exercises.
• Real implementation work within the Antigravity live environment.

Course Customization Options

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

Google Antigravity is an advanced development environment that prioritizes the use of agents to automate and simplify engineering workflows.

This instructor-led, live training (available online or on-site) is designed for beginners who want to gain a foundational understanding of Antigravity and learn how agent-driven coding environments can boost productivity.

Upon completing this training, participants will be able to:

• Install and configure Google Antigravity effectively.
• Navigate and comprehend both the Editor View and Manager View with ease.
• Collaborate efficiently with agents to automate routine development tasks.
• Utilize Antigravity to create, refine, and manage project files seamlessly.

Format of the Course

• Instructor-led explanations complemented by real-time demonstrations.
• Guided exercises focusing on practical use of agents.
• Hands-on exploration of core Antigravity features in a controlled lab setting.

Course Customization Options

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

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

This instructor-led, live training (available online or on-site) is targeted at intermediate-level professionals who are interested in building, automating, and testing browser-based workflows using Google Antigravity.

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

• Develop agents that can engage with web applications within a browser environment.
• Automate comprehensive workflows across various browser contexts.
• Validate and troubleshoot agent behavior in user interface-driven environments.
• Implement cross-surface automation strategies using Google Antigravity.

Format of the Course

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

Course Customization Options

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

AgentCore simplifies the process of building, enhancing, and monitoring fully managed AI agents by providing a comprehensive suite of services designed for large-scale deployment.

This instructor-led, live training (available online or on-site) is aimed at practitioners with beginner to intermediate levels of experience who want to gain hands-on skills in creating production-ready AI agents using AgentCore.

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

• Understand the key capabilities of AgentCore for developing AI agents.
• Design and configure basic AI agents using managed services.
• Integrate workflows to improve agent functionality.
• Deploy and monitor AI agents in production environments.

Format of the Course

• Interactive lectures and discussions.
• Hands-on labs with AgentCore services.
• Guided exercises from concept to deployment of AI agents.

Course Customization Options

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

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

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

• Understand Mastra’s architecture and how it integrates with LLMs and external APIs.
• Design and implement AI agents and workflows using TypeScript.
• Use Mastra’s observability and memory tools to monitor and improve agent performance.
• Deploy production-ready AI applications leveraging Mastra’s framework features.

Mastra is a framework that offers structured tools for evaluating, debugging, and ensuring the reliability of AI agents across complex workflows.

This instructor-led, live training (available online or on-site) is designed for intermediate-level practitioners who want to rigorously test agent behavior, enhance reliability, and implement measurable evaluation processes.

By the end 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 tooling and workflows that monitor reliability, drift, and hallucinations.
• Design QA strategies to ensure consistent and predictable agent performance.

Format of the Course

• Interactive lecture and discussion.
• Hands-on debugging and evaluation exercises.
• 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 to advanced technical professionals who need to operationalize AI agents reliably and efficiently across production systems.

Upon completing 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 features.
• Implement observability pipelines to monitor agent behavior and performance.
• Optimize runtime configurations to minimize latency, costs, and operational risks.

Format of the Course

• Interactive lecture and discussion.
• Hands-on exercises focused on real-world 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 advanced workflow automation and coordination among multiple AI agents operating within distributed systems.

This instructor-led, live training (available both online and onsite) is designed for intermediate-level practitioners who wish to design, orchestrate, and manage multi-agent workflows on a large scale.

By completing this training, participants will gain the skills to:

• Design intricate 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 to enhance 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 is 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 on-site) is targeted at intermediate-level professionals who want to design, manage, and optimize multi-agent workflows within Google Antigravity.

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

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

Format of the Course

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

Course Customization Options

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

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

This instructor-led, live training (available online or on-site) is designed for intermediate to advanced professionals who aim to verify, validate, and secure the output generated by AI agents operating within Antigravity environments.

Upon completing this training, participants will be able to:

• Evaluate the precision and safety of code artifacts produced by agents.
• Employ structured methods to verify tasks executed by agents.
• Analyze browser recordings and trace agent activities effectively.
• Apply QA and security principles to ensure the reliability of agent workflows.

Format of the Course

• Instructor-guided technical briefings and discussions.
• Practical exercises focused on verifying actual agent workflows.
• Hands-on testing and validation in a controlled lab setting.

Course Customization Options

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