Model Context Protocol (MCP) for AI Integration Training Course

Google Antigravity is an agentic 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 advanced-level technical professionals who wish to design, build, and deploy autonomous agents using Gemini 3 and the Antigravity environment.

Upon finishing this training, participants will be prepared to:

• Build autonomous workflows that use 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.
• Optimize agent behavior, safety, and reliability in complex environments.

Format of the Course

• 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 serves as a sophisticated framework for experimenting with persistent agents and emergent interactive dynamics.

This instructor-led training, available online or onsite, targets advanced professionals seeking to design, analyze, and optimize agents that retain memories, improve via feedback, and evolve over extended operational periods.

Upon course completion, participants will acquire the ability to:

• Architect long-term memory structures for agent persistence.
• Establish effective feedback loops to guide agent behavior.
• Assess learning trajectories and monitor model drift.
• Integrate memory mechanisms within complex multi-agent ecosystems.

Course Format

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

Customization Options

• For organizations requiring tailored content or case-specific examples, please reach out to customize this training.

Mastra serves as a framework facilitating deep integration between AI agents, APIs, enterprise applications, and external data systems.

This instructor-led live training, available both online and onsite, is designed for intermediate-level engineers aiming to construct reliable, secure, and scalable integrations between Mastra agents and the wider enterprise ecosystem.

Upon completing 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.

Course Format

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

Customization Options

• Custom API scenarios, enterprise system mappings, or data-integration workshops can be arranged upon request.

AgentCore empowers AI agents with memory persistence, a secure code interpreter, and a browser tool, allowing them to deliver highly interactive, dynamic, and context-aware experiences.

This live, instructor-led training—available both online and onsite—targets intermediate to advanced technical professionals seeking to design and deploy AI agents that retain long-term context, perform on-the-fly calculations, and interact directly with web interfaces.

Upon completion, participants will be equipped to:

• Implement AgentCore memory to enable stateful, context-aware workflows.
• Utilize the secure code interpreter for dynamic data transformations and calculations.
• Integrate the browser tool for real-time data retrieval and seamless UI interaction.
• Architect interactive agents tailored for analytics, customer support, and research applications.

Course Format

• Engaging lectures and facilitated discussions.
• Practical lab exercises focusing on AgentCore memory and tools.
• Analysis of case studies in analytics, automation, and customer support.

Customization Options

• Contact us to discuss arranging a customized version of this training.

AgentCore Runtime & Gateway serves as an AWS service pairing designed to streamline the packaging, deployment, and secure exposure of AI agents, while facilitating 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. Participants will gain mastery over the AgentCore Runtime for deployment purposes and the Gateway for establishing secure connectivity and API integrations.

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

• Deploy AgentCore Runtime environments and package agents for production deployment.
• Expose agents via the Gateway using authenticated, rate-limited endpoints.
• Integrate external tools and APIs into agent workflows through stable contracts.
• Implement observability, logging, and usage monitoring for effective production operations.

Course Format

• Interactive lectures and discussions.
• Practical labs focusing on Runtime deployments and Gateway integrations.
• Hands-on exercises centered on reliability, security, and deployment strategies.

Course Customization Options

• For customized training requests for this course, please contact us to make arrangements.

Antigravity serves as a specialized development platform tailored for creating AI-driven, agent-first applications.

This instructor-led live training, available either online or on-site, is designed for intermediate-level developers looking to build real-world applications utilizing autonomous AI agents within the Antigravity ecosystem.

Upon completing this training, participants will be able to:

• Build applications that depend on coordinated and autonomous AI agents.
• Utilize the Antigravity IDE, including its editor, terminal, and browser features for comprehensive development.
• Oversee multi-agent workflows via the Agent Manager.
• Embed agent capabilities into production-ready software systems.

Course Format

• A mix of presentations and in-depth practical demonstrations.
• Abundant hands-on practice supported by guided exercises.
• Practical implementation work conducted directly within the live Antigravity environment.

Customization Options

• For content tailored to your specific development stack, please reach out to us to organize 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

• 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 serves as a platform for developing agents that interact with web applications, browser environments, and cross-platform workflows.

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

After completing the training, participants will be able to:

• Develop agents that interact with web applications within a browser interface.
• Automate end-to-end workflows across different browser contexts.
• Validate and resolve agent behavior issues in UI-driven environments.
• Deploy cross-platform automation strategies using 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 setting.

Customization Options

• For tailored training requirements, please contact us to adapt the course to your specific goals.

AgentCore streamlines the creation, refinement, and supervision of fully managed AI agents through a cohesive suite of services designed for large-scale deployment.

This interactive, instructor-led training session (available online or onsite) is tailored for beginner to intermediate practitioners seeking practical experience in developing production-ready AI agents using AgentCore.

Upon completing this training, participants will be equipped to:

• Grasp the fundamental capabilities of AgentCore in the context of AI agent development.
• Architect and configure basic AI agents leveraging managed services.
• Incorporate workflows to bolster agent functionality.
• Deploy and oversee AI agents within production environments.

Course Structure

• Engaging lectures and discussions.
• Practical labs utilizing AgentCore services.
• Guided exercises covering the journey from agent concept to deployment.

Customization Availability

• To request a customized version of this training, please reach out to us to make arrangements.

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

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

• Understand Mastra’s architecture and its integration with LLMs and external APIs.
• Design and implement AI agents and workflows using TypeScript.
• Utilize 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 provides structured tools for evaluating, debugging, and assuring the reliability of AI agents operating across complex workflows.

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

At the end of this training, participants will confidently:

• Apply debugging techniques to identify and correct agent behavior issues.
• 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 serves as an operational framework aimed at streamlining the deployment, scaling, and lifecycle management of AI agents within production environments.

This instructor-led live training, available either online or onsite, is designed for intermediate to advanced-level technical professionals who require reliable and efficient methods to operationalize AI agents across their production systems.

Upon completing this training, participants will be able to:

• Deploy Mastra-based AI agents into controlled, production-grade environments.
• Scale agents both horizontally and vertically by leveraging platform-native primitives.
• Establish observability pipelines to monitor agent behaviour and performance.
• Fine-tune runtime configurations to minimize latency, reduce costs, and mitigate operational risks.

Course Format

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

Customization Options

• Topics, hands-on labs, or industry-specific scenarios can be customized 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, is intended for intermediate-level professionals aiming to design, orchestrate, and manage large-scale multi-agent workflows.

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

• Design complex workflows utilizing Mastra’s orchestration features.
• Coordinate multiple agents executing 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.

Course Customization Options

• Custom 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 training, available either online or onsite, is tailored for intermediate-level professionals seeking to design, manage, and optimize multi-agent workflows within the Google Antigravity ecosystem.

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

• Configure agent responsibilities and orchestration pipelines via 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 remain 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 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.

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

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

After completing 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.
• Analyze browser recordings and trace agent activity effectively.
• Apply QA and security principles to ensure the reliability of agent workflows.

Course Format

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

Customization Options for the Course

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