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

This instructor-led live training, available either online or onsite, targets advanced professionals who aim to design, analyze, and optimize agents capable of retaining memories, improving through feedback, and evolving over extended operational periods.

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

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

Format of the Course

• 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 case-specific examples, please contact us to customize this training.

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

This instructor-led live training, available either online or on-site, is designed for intermediate-level engineers looking to create 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 connecting Mastra agents with external services.
• Link 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 use.

Course Format

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

Customization Options

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

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

This live, instructor-led training (available online or onsite) is tailored for intermediate to advanced technical professionals seeking to build and deploy AI agents that retain long-term context, perform real-time computations, and interact directly with web interfaces.

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

• Deploy AgentCore memory to create stateful, context-aware workflows.
• Utilize the secure code interpreter for dynamic calculations and data transformations.
• Integrate the browser tool for real-time data acquisition and UI engagement.
• Architect interactive agents for analytics, customer support, and research applications.

Course Format

• Interactive lectures and facilitated discussions.
• Practical lab exercises focusing on AgentCore memory and associated tools.
• Case studies covering analytics, automation, and customer support scenarios.

Course Customization

• Contact us to discuss arranging a customized training experience for this course.

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

This instructor-led, live training (available online or onsite) targets intermediate-level engineering teams aiming to transition from agent prototypes to production. Participants will master the AgentCore Runtime for deployment and the Gateway for secure connectivity and API integration.

Upon completing this training, participants will be capable of:

• Setting up AgentCore Runtime environments and packaging agents for deployment.
• Exposing agents via the Gateway using authenticated, rate-limited endpoints.
• Integrating external tools and APIs into agent workflows using stable contracts.
• Implementing observability, logging, and usage monitoring for production operations.

Course Format

• Interactive lectures and discussions.
• Hands-on labs covering Runtime deployments and Gateway integrations.
• Practical exercises focused on reliability, security, and rollout strategies.

Customization Options

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

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

This instructor-led live training, available either online or on-site, targets intermediate-level developers aiming to build practical applications using autonomous AI agents within the Antigravity ecosystem.

Upon completing this training, participants will be able to:

• Develop applications that depend on coordinated and autonomous AI agents.
• Utilize the Antigravity IDE, editor, terminal, and browser for complete end-to-end development.
• Handle multi-agent workflows using the Agent Manager.
• Integrate agent functionalities into production-ready software systems.

Course Format

• A mix of presentations and in-depth demonstrations.
• Extensive hands-on practice and guided exercises.
• Real-world implementation work within the Antigravity live environment.

Course Customization Options

• For tailored content aligned with your specific 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

• 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 building agents capable of interacting with web applications, browser environments, and multi-surface workflows.

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.

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

• Create agents that interact with web applications in a browser surface.
• Automate end-to-end workflows across browser contexts.
• Validate and troubleshoot agent behavior in UI-driven environments.
• Implement cross-surface automation strategies using Antigravity.

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 objectives.

AgentCore streamlines the creation, optimization, and oversight of fully managed AI agents by offering an integrated set of services designed for large-scale deployment.

This instructor-led session, available either online or onsite, is tailored for practitioners ranging from beginners to intermediates who seek practical experience in developing production-grade AI agents using AgentCore.

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

• Grasp the fundamental capabilities of AgentCore in AI agent development.
• Design and set up simple AI agents leveraging managed services.
• Incorporate workflows to augment agent functionality.
• Deploy and oversee AI agents within production environments.

Course Delivery Style

• Engaging lectures combined with open discussions.
• Practical labs focused on AgentCore services.
• Structured exercises guiding the journey from concept to deployment.

Tailored Training Options

• If you require a customized version of this training, please get in touch with us to schedule a consultation.

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

By the conclusion of this training, participants will be equipped to:

• Comprehend Mastra’s architecture and its connectivity with LLMs and external APIs.
• Design and implement AI agents and workflows in TypeScript.
• Utilize Mastra’s observability and memory tools for monitoring and improving agent performance.
• Deploy production-ready AI applications by leveraging Mastra’s framework features.

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

This instructor-led live training, available online or on-site, targets intermediate-level practitioners seeking to rigorously test agent behavior, enhance reliability, and implement measurable evaluation processes.

Upon completing this training, participants will be able to confidently:

• Apply debugging techniques to identify and resolve issues in agent behavior.
• Assess agents using structured metrics, benchmarks, and quality scores.
• Deploy tooling and workflows to monitor reliability, detect drift, and address hallucinations.
• Design QA strategies that guarantee consistent and predictable agent performance.

Course Format

• Interactive lectures and discussions.
• Hands-on exercises in debugging and evaluation.
• Live-lab analysis of agent behaviors utilizing observability tools.

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-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 behaviour 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 that enables sophisticated workflow automation and coordination across multiple AI agents operating within distributed systems.

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.

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

• Design complex 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 for 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 serves as a platform centered around agents, designed to orchestrate, oversee, and coordinate AI-powered coding and automation processes.

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

After completing this training, participants will acquire the ability to:

• Configure agent responsibilities and orchestration pipelines using the Manager interface.
• Generate and analyze Antigravity artifacts, such as task lists, plans, logs, and browser recordings.
• Apply verification strategies to maintain transparency and auditability of agent actions.
• Enhance collaboration among multiple agents to handle complex development and operational tasks.

Course Format

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

Course Customization Options

• For a customized version of this course, please reach out to discuss specific customization needs.

Antigravity is a framework designed for advanced workflows driven by autonomous agents.

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

After completing this training, participants will be capable of:

• Evaluating the accuracy and safety of code artifacts produced by agents.
• Employing structured techniques to verify tasks executed by agents.
• Effectively analyzing browser recordings and tracing agent activity.
• Applying QA and security principles to ensure the reliability of agent-driven workflows.

Course Format

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

Course Customization Options

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