Model Context Protocol (MCP) for AI Integration Training Course

Google Antigravity is an agentic development environment engineered to construct autonomous agents capable of planning, reasoning, coding, and acting by leveraging the multimodal capabilities of Gemini 3.

This instructor-led, live training (available online or onsite) is tailored for advanced-level technical professionals who aim to design, build, and deploy autonomous agents utilizing Gemini 3 within the Antigravity environment.

Upon completing this training, participants will be equipped to:

• Construct autonomous workflows that employ Gemini 3 for reasoning, planning, and execution.
• Develop agents in Antigravity capable of analyzing tasks, writing code, and interacting with tools.
• Integrate Gemini-driven agents with enterprise systems and APIs.
• Enhance agent behavior, safety, and reliability within complex environments.

Course Format

• Expert demonstrations paired with interactive discussions.
• Hands-on experimentation with autonomous agent development.
• Practical implementation utilizing Antigravity, Gemini 3, and supporting cloud tools.

Customization Options

• Should your team require domain-specific agent behaviors or custom integrations, please contact us to tailor the program to your needs.

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

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

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

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

Course Format

• 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.

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

This instructor-led live training, available both online and onsite, targets intermediate-level engineers aiming to construct 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 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 scalable, maintainable, and production-ready integration layers.

Course Format

• Interactive lectures and discussions.
• Hands-on exercises in integration engineering and API development.
• Live-lab implementations utilizing real-world enterprise scenarios.

Customization Options

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

AgentCore equips AI agents with persistent memory, a secure code interpreter, and browser capabilities, allowing them to provide highly interactive, dynamic, and context-aware experiences.

This live, instructor-led course—available online or onsite—is tailored for intermediate to advanced technical professionals looking to architect and deploy AI agents that retain long-term context, perform real-time computations, and engage directly with web interfaces.

Upon completion, participants will be able to:

• Utilize AgentCore memory to create stateful, context-rich workflows.
• Employ the secure code interpreter for flexible calculations and data transformations.
• Incorporate the browser tool for instant data acquisition and UI engagement.
• Develop interactive agents tailored for analytics, customer service, and research applications.

Course Structure

• Engaging lectures paired with interactive discussions.
• Practical lab exercises focusing on AgentCore memory and associated tools.
• In-depth case studies covering analytics, automation, and customer support environments.

Customization Availability

• Reach out to us to discuss and arrange a customized training solution for this course.

AgentCore Runtime and Gateway serve as a paired AWS service solution designed to streamline the packaging, deployment, and secure exposure of AI agents, facilitating seamless integrations with external systems.

This instructor-led live training, available either online or on-site, targets intermediate-level engineering teams. Its primary goal is to help teams transition from agent prototypes to production-ready environments by mastering the AgentCore Runtime for deployment and the Gateway for secure connectivity and API integration.

Upon completing this training, participants will be equipped to:

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

Course Format

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

Customization Options

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

Antigravity serves as a specialized development platform engineered to create AI-driven, agent-first applications.

This instructor-led live training, available either online or onsite, is tailored for intermediate developers aiming to build practical applications using autonomous AI agents within the Antigravity ecosystem.

Upon completing this training, participants will be able to:

• Build applications leveraging autonomous and coordinated AI agents.
• Utilize the Antigravity IDE, editor, terminal, and browser for comprehensive end-to-end development.
• Oversee multi-agent workflows through the Agent Manager.
• Seamlessly integrate agent capabilities into robust, production-grade software systems.

Course Format

• A blend of presentations with detailed, in-depth demonstrations.
• Extensive hands-on practice accompanied by guided exercises.
• Practical implementation work conducted within the Antigravity live environment.

Customization Options

• For content tailored to your specific development stack, please reach out to us to arrange a customized training version.

Google Antigravity is an agent-centric development environment crafted to optimize engineering workflows via intelligent automation.

This instructor-led, live training session (available online or on-site) is designed for beginner-level professionals looking to discover the fundamentals of Antigravity and grasp how agent-driven coding setups boost productivity.

After completing this training, participants will be able to:

• Install and set up Google Antigravity.
• Navigate and comprehend both the Editor View and Manager View.
• Collaborate efficiently with agents to automate basic development tasks.
• Utilize Antigravity to generate, refine, and manage project files.

Course Format

• Guided exercises centered on practical agent usage.
• Hands-on exploration of core Antigravity features in a controlled lab setting.

Course Customization Options

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

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

This instructor-led training, available online or on-site, targets intermediate-level professionals aiming to build, automate, and test browser-based workflows using Google Antigravity.

Upon completing the training, participants will be equipped to:

• Develop agents capable of interacting with web applications within a browser interface.
• Automate end-to-end workflows across various browser contexts.
• Validate and troubleshoot agent behavior within UI-driven environments.
• Implement cross-surface automation strategies utilizing 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 environment.

Customization Options

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

AgentCore streamlines the development, improvement, and oversight of fully managed AI agents by offering a cohesive suite of services designed for large-scale deployment.

This live, instructor-led training, available both online and on-site, is tailored for practitioners with beginner to intermediate experience who are eager to gain practical skills in building production-grade AI agents using AgentCore.

Upon completing 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 performance.
• Implement and oversee AI agents within production settings.

Course Format

• Engaging lectures and open discussions.
• Practical labs utilizing AgentCore services.
• Structured exercises guiding participants from agent design to deployment.

Customization Opportunities

• For bespoke training needs regarding this course, please reach out to schedule a consultation.

This live, instructor-led training session, delivered online or onsite, targets intermediate-level software developers and engineering teams aiming to build scalable and observable AI systems with Mastra.

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

• Understand Mastra’s architecture and its integration with LLMs and external APIs.
• Design and implement AI agents and workflows in TypeScript.
• Utilize Mastra’s observability and memory tools to monitor and optimize agent performance.
• Deploy production-ready AI applications using Mastra’s framework capabilities.

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

This instructor-led live training (available online or onsite) is designed for 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.
• Evaluate agents using structured metrics, benchmarks, and quality scores.
• Implement tooling and workflows to track reliability, drift, and hallucinations.
• Design QA strategies that guarantee consistent and predictable agent performance.

Course Format

• Interactive lectures and discussions.
• Hands-on exercises for debugging and evaluation.
• 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-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 designed to facilitate sophisticated workflow automation and coordination among multiple AI agents within distributed systems.

This instructor-led training, available both online and onsite, targets intermediate-level practitioners seeking to design, orchestrate, and manage multi-agent workflows at scale.

Upon completion of this training, participants will acquire the following skills:

• Design complex workflows utilizing Mastra’s orchestration capabilities.
• Coordinate multiple agents handling parallel or dependent tasks.
• Implement monitoring and debugging tools for effective workflow execution.
• Optimize orchestration logic to enhance reliability, throughput, and automation efficiency.

Course Format

• Interactive lectures and discussions.
• Hands-on exercises for workflow design and automation.
• Practical implementation within a containerized live-lab environment.

Customization Options

• Tailored automation scenarios, enterprise integrations, or workflow patterns can be provided upon request.

Google Antigravity serves as an agent-centric development platform designed to orchestrate, oversee, and coordinate AI-powered coding and automation workflows.

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

Upon completing this course, participants will acquire the skills necessary 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 remain transparent and fully auditable.
• Optimize multi-agent collaboration for complex development and operational tasks.

Course Format

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

Course Customization Options

• For a customized version of this course, please contact us to discuss specific requirements.

Antigravity is a framework that facilitates advanced, agent-driven development workflows.

This instructor-led live training, available online or onsite, is designed for intermediate to advanced professionals seeking to verify, validate, and secure the outputs produced by AI agents operating within Antigravity environments.

Upon completing this training, participants will be able to:

• Evaluate the accuracy and safety of code artifacts generated by agents.
• Employ structured techniques to verify tasks executed by agents.
• Analyze browser recordings and trace agent activities with precision.
• Apply quality assurance and security principles to ensure the reliability of agent-driven workflows.

Course Format

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

Customization Options

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