Reinforcement Learning for AI Agents Training Course

Google Antigravity is a development environment designed for government to build autonomous agents capable of planning, reasoning, coding, and acting through Gemini 3’s multimodal capabilities.

This instructor-led, live training (online or onsite) is aimed at advanced-level technical professionals who wish to design, build, and deploy autonomous agents using Gemini 3 and the Antigravity environment for government applications.

Upon completing this training, participants will be prepared to:

• Build autonomous workflows that leverage Gemini 3 for reasoning, planning, and execution in public sector environments.
• Develop agents in Antigravity that can analyze tasks, write code, and interact with tools to support government operations.
• Integrate Gemini-driven agents with enterprise systems and APIs used by government agencies.
• Optimize agent behavior, safety, and reliability in complex government environments.

Format of the Course

• Expert demonstrations combined with interactive discussions to align with public sector needs.
• Hands-on experimentation with autonomous agent development for government use cases.
• Practical implementation using Antigravity, Gemini 3, and supporting cloud tools tailored for government workflows.

Course Customization Options

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

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

This instructor-led, live training (online or onsite) is aimed at advanced-level professionals who wish to design, analyze, and optimize agents capable of retaining memories, improving through feedback, and evolving over extended operational periods. The training aligns with the needs of public sector workflows, governance, and accountability for government.

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

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

Format of the Course

• Expert-led discussions complemented by technical demonstrations.
• Hands-on exploration through structured design challenges.
• Application of concepts to simulated agent environments.

Course Customization Options

• If your organization requires tailored content or case-specific examples, please contact us to customize this training for government.

Mastra is a framework designed to support deep integration between artificial intelligence (AI) agents, application programming interfaces (APIs), enterprise applications, and external data systems.

This instructor-led, live training (available online or onsite) is targeted at intermediate-level engineers who aim to develop reliable, secure, and scalable integrations between Mastra agents and the broader enterprise ecosystem for government use.

Upon completion of 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 production-ready.

Format of the Course

• Interactive lectures and discussions.
• Hands-on integration engineering and API exercises.
• Live-lab implementation using real-world enterprise scenarios for government.

Course Customization Options

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

AgentCore Runtime & Gateway is an AWS service designed to package, deploy, and securely expose 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 transition from agent prototypes to production by mastering the AgentCore Runtime for deployment and the Gateway for secure connectivity and API integration for government use cases.

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 operation.

Format of the Course

• Interactive lecture and discussion tailored to public sector needs.
• Hands-on labs with Runtime deployments and Gateway integrations focused on government workflows.
• Practical exercises centered on reliability, security, and rollout in a public sector context.

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 for government.

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 for government.
• Use the Antigravity IDE, editor, terminal, and browser for end-to-end development for government projects.
• Manage multi-agent workflows with the Agent Manager to enhance public sector workflows.
• Integrate agent capabilities into production-grade software systems for government use.

Format of the Course

• Blended presentations with in-depth demonstrations tailored to public sector needs.
• Extensive hands-on practice and guided exercises aligned with government requirements.
• Real implementation work inside the Antigravity live environment, focusing on government applications.

Course Customization Options

• For tailored content aligned with your development stack and specific public sector requirements, please contact us to arrange a customized version of this training for government.

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

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 can improve productivity in public sector operations.

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

• Install and configure Google Antigravity for government use.
• Navigate and understand both the Editor View and Manager View within the context of public sector workflows.
• Work effectively with agents to automate simple development tasks, enhancing efficiency and accuracy in government projects.
• Use Antigravity to generate, refine, and manage project files, ensuring compliance with governmental standards and protocols.

Format of the Course

• Instructor explanations supported by real-time demonstrations tailored for government applications.
• Guided exercises focused on hands-on use of agents, with a specific emphasis on public sector scenarios.
• Practical exploration of core Antigravity features in a controlled lab environment designed to simulate government workflows.

Course Customization Options

• If you require a tailored version of this training for government, please contact us to arrange a customized program that aligns with specific public sector needs.

Google Antigravity is a platform designed for building agents capable of interacting with web applications, browser environments, and multi-surface workflows.

This instructor-led, live training (online or onsite) is aimed at intermediate-level professionals who wish to build, automate, and test browser-based workflows using Google Antigravity for government applications.

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

• Develop agents that interact with web applications within a browser environment.
• Automate end-to-end 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 supported by practical demonstrations.
• Hands-on activities and scenario-based exercises to reinforce learning.
• Interactive lab environment for implementing agent workflows.

Course Customization Options

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

Amazon Bedrock AgentCore is an enterprise-ready framework designed for building, deploying, and scaling AI agents with integrated support for memory management, observability, and secure identity controls.

This instructor-led, live training (online or onsite) is aimed at intermediate to advanced-level engineers and architects who wish to design, secure, and operate agentic AI systems using AWS Bedrock AgentCore for government applications.

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

• Understand the architecture and components of AgentCore.
• Deploy and manage AI agents using Runtime and Gateway functionalities.
• Implement persistent memory and stateful interactions for enhanced user experiences.
• Apply identity, observability, and compliance controls to ensure secure operations.
• Design multi-agent systems tailored for enterprise-scale workflows in the public sector.

Format of the Course

• Interactive lectures and discussions focused on government-specific use cases.
• Hands-on AWS lab sessions with AgentCore to simulate real-world scenarios for government.
• Practical exercises centered around deployment and monitoring in public sector environments.

Course Customization Options

• To request a customized training tailored to specific needs of your agency, please contact us to arrange.

AgentCore provides built-in identity, observability, and compliance features that enable organizations to deploy AI agents responsibly in enterprise environments for government use.

This instructor-led, live training (online or onsite) is aimed at advanced-level practitioners who wish to design and operate secure, auditable, and compliant AI agent systems using Amazon Bedrock AgentCore for government applications.

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

• Implement enterprise identity and permissioning models for agents in alignment with public sector workflows.
• Enable observability through structured logging, metrics, and tracing to support governance and accountability.
• Apply compliance controls to align with regulatory frameworks specific to government operations.
• Audit agent activity and maintain secure session-level controls to ensure data integrity and confidentiality for government.

Format of the Course

• Interactive lecture and discussion focused on government use cases.
• Hands-on labs with AWS security and monitoring tools tailored for government environments.
• Case studies in regulated enterprise environments, including those relevant to public sector operations.

Course Customization Options

• To request a customized training for this course, please contact us to arrange a session that meets specific government requirements.

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 for government applications.

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

• Understand Mastra’s architecture and how it integrates with large language models (LLMs) and external APIs for government use cases.
• Design and implement AI agents and workflows using TypeScript for government projects.
• Use Mastra’s observability and memory tools to monitor and improve agent performance in government systems.
• Deploy production-ready AI applications leveraging Mastra’s framework features for government operations.

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

This instructor-led, live training (online or onsite) is aimed at intermediate-level practitioners who wish to rigorously test agent behavior, enhance reliability, and implement measurable evaluation processes.

At the end of this training, participants will confidently:

• Apply debugging techniques to identify and correct 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 for government.

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 for government.

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

• Deploy Mastra-based AI agents into controlled, production-grade environments for government.
• Scale agents horizontally and vertically using platform-native primitives for government.
• Implement observability pipelines to track agent behavior and performance for government.
• Optimize runtime configurations to reduce latency, costs, and operational risks for government.

Format of the Course

• Interactive lecture and discussion for government.
• Hands-on exercises focused on real deployment scenarios for government.
• Live-lab implementation using containerized and orchestrated environments for government.

Course Customization Options

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

Mastra is a framework that enables sophisticated workflow automation and coordination across multiple AI agents operating within distributed systems for government.

This instructor-led, live training (online or onsite) is aimed at intermediate-level practitioners who want to design, orchestrate, and operate multi-agent workflows at scale for government.

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

• Design complex workflows using Mastra’s orchestration capabilities for government.
• Coordinate multiple agents performing parallel or dependent tasks for government operations.
• Implement monitoring and debugging tools for workflow execution in government systems.
• Optimize orchestration logic for reliability, throughput, and automation efficiency for government applications.

Format of the Course

• Interactive lecture and discussion.
• Hands-on workflow design and automation exercises.
• Practical implementation in a containerized live-lab environment for government use.

Course Customization Options

• Customized automation scenarios, enterprise integrations, or workflow patterns can be provided upon request for government-specific needs.

Google Antigravity is an agent-centric development platform designed to orchestrate, supervise, and coordinate AI-driven coding and automation workflows for government.

This instructor-led, live training (online or onsite) is aimed at intermediate-level professionals who wish to design, manage, and optimize multi-agent workflows within Google Antigravity.

Upon completion of this training, participants will gain the skills to:

• Configure agent responsibilities and orchestration pipelines within the Manager interface.
• Generate and interpret Antigravity artifacts, including task lists, plans, logs, and browser recordings.
• Implement verification strategies to ensure agent actions remain transparent and auditable for government.
• 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 workflow challenges.
• Hands-on experimentation within a live Antigravity workspace.

Course Customization Options

• If you require a tailored version of this course, please contact us to discuss customization options for government.

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

This instructor-led, live training (online or onsite) is aimed at intermediate to advanced professionals who wish to verify, validate, and secure the output generated by AI agents operating within Antigravity-driven environments.

Upon completing this training, participants will be able to:

• Evaluate the accuracy and safety of code artifacts produced by agents.
• Utilize structured methods 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.

Format of the Course

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

Course Customization Options

• Adaptation of scenarios, workflows, and testing examples is available upon request to better align with specific needs for government applications.