Model Context Protocol (MCP) for AI Integration Training Course

Google Antigravity is an advanced development environment designed 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 high-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:

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

Format of the Course

• Expert demonstrations paired 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 to meet your specific needs.

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

This instructor-led, live training (available online or on-site) 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 course is particularly relevant for government agencies seeking to enhance their capabilities in this domain.

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

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

Format of the Course

• Expert-led discussion paired with technical demonstrations.
• Hands-on exploration through structured design challenges.
• Application of concepts to simulated agent environments.

Course Customization Options for Government

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

Mastra is a framework designed to facilitate deep integration between artificial intelligence (AI) agents, application programming interfaces (APIs), enterprise applications, and external data systems. This instructor-led training, available both online and onsite, is tailored for intermediate-level engineers who aim to develop reliable, secure, and scalable integrations between Mastra agents and the broader enterprise ecosystem. Upon completion of this training, participants will be prepared 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 **Course Customization Options** - Custom API scenarios, enterprise system mappings, or data-integration workshops are available upon request for government and other public sector organizations.

AgentCore provides 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 aimed at intermediate to advanced technical practitioners who wish to design and deploy AI agents capable of long-term context retention, on-the-fly computation, and direct interaction with web user interfaces for government applications. By the end of this training, participants will be able to: - Implement AgentCore memory for stateful, context-aware workflows. - Leverage the secure code interpreter for dynamic calculations and transformations. - Integrate the browser tool for real-time data retrieval and UI interaction. - Design interactive agents for analytics, customer support, and research use cases in a public sector environment. **Format of the Course** - Interactive lecture and discussion. - Hands-on lab exercises with AgentCore memory and tools. - Case studies in analytics, automation, and customer support scenarios relevant to government operations. **Course Customization Options** - To request a customized training for this course tailored for government needs, please contact us to arrange.

AgentCore Runtime & Gateway is an AWS service pairing designed for packaging, deploying, and securely exposing AI agents with streamlined integrations to external systems. This instructor-led, live training (available 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 applications. 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 focusing on Runtime deployments and Gateway integrations. - Practical exercises emphasizing reliability, security, and deployment strategies. **Course Customization Options** - To request a customized training for this course tailored to specific needs, please contact us to arrange.

Antigravity is a development platform designed for building AI-driven, agent-first applications.

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

Upon completing this training, participants will be equipped to:

• Develop applications that rely on autonomous and coordinated AI agents.
• Utilize 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 and detailed demonstrations.
• Extensive hands-on practice and guided exercises.
• Practical implementation work within the live Antigravity environment.

Course Customization Options

• For tailored content aligned with your specific development stack, please contact us to arrange a customized version of this training for government or organizational needs.

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

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 in a public sector context.

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

• Install and configure Google Antigravity for government systems.
• Navigate and understand both the Editor View and Manager View within the platform.
• Work effectively with agents to automate simple development tasks in a government setting.
• Use Antigravity to generate, refine, and manage project files for government projects.

Format of the Course

• Instructor explanations supported by real-time demonstrations tailored to public sector workflows.
• Guided exercises focused on hands-on use of agents in a government context.
• Practical exploration of core Antigravity features in a controlled lab environment that simulates government scenarios.

Course Customization Options

• If you require a tailored version of this training to better align with specific government needs, please contact us to arrange a customized program.

Google Antigravity is a platform designed for building agents capable of interacting with web applications, browser environments, and multi-surface workflows for government. This instructor-led, live training (available online or onsite) is aimed at intermediate-level professionals who wish to build, automate, and test browser-based workflows using Google Antigravity for government. Upon completion of the training, participants will be able to: - Create agents that interact with web applications in a browser environment. - Automate end-to-end workflows across various browser contexts. - Validate and troubleshoot agent behavior in UI-driven environments. - Implement cross-surface automation strategies using Antigravity for government. **Format of the Course** - Guided instruction supported by 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 specific objectives for government.

AgentCore simplifies the process of building, enhancing, and monitoring fully managed AI agents by providing a unified suite of services tailored for deployment at scale for government use. This instructor-led, live training (available online or onsite) is designed for beginner to intermediate-level practitioners who wish to gain hands-on experience creating production-ready AI agents with AgentCore. By the end of this training, participants will be able to: - Understand the core capabilities of AgentCore for AI agent development. - Design and configure simple AI agents using managed services. - Integrate workflows to enhance agent functionality. - Deploy and monitor AI agents in production environments. **Format of the Course** - Interactive lecture and discussion. - Hands-on labs with AgentCore services. - Guided exercises from agent concept to deployment. **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 for government. 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. - Utilize Mastra’s observability and memory tools to monitor and enhance agent performance. - Deploy production-ready AI applications leveraging Mastra’s framework features.

Mastra is a framework that provides structured tools for evaluating, debugging, and ensuring the reliability of AI agents operating across complex workflows. This instructor-led, live training (online or onsite) is designed for intermediate-level practitioners who aim to rigorously test agent behavior, enhance reliability, and implement measurable evaluation processes for government applications. At the conclusion of this training, participants will be able to: - 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 track reliability, drift, and hallucinations. - Design QA strategies that 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 and other sectors. 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 behavior 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 enable sophisticated workflow automation and coordination across multiple AI agents operating within distributed systems. This instructor-led, live training (available online or onsite) is aimed at intermediate-level practitioners who wish to design, orchestrate, and operate multi-agent workflows at scale for government and other public sector organizations. By completing this training, participants will gain the skills to: - Design complex workflows using Mastra’s advanced orchestration capabilities. - Coordinate multiple agents performing parallel or dependent tasks efficiently. - Implement robust 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 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 to better align with specific government workflows and requirements.

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 (available online or onsite) is targeted at intermediate-level professionals who aim 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 using the Manager interface.
• Generate 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 require a tailored version of this course, please contact us to discuss customization options for government use.

Antigravity is a framework designed to support 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 for government use.

Upon completing this training, participants will be able to:

• Evaluate the accuracy and safety of code artifacts produced by AI agents.
• Employ structured techniques to verify tasks executed by AI 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

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