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

This instructor-led training, available either online or onsite, is tailored for advanced professionals seeking to design, analyze, and optimize agents that can retain memories, improve via feedback, and evolve across extended operational periods.

After completing this course, participants will be equipped with the following skills:

• Constructing long-term memory structures to ensure agent persistence.
• Implementing effective feedback loops to guide and shape agent behavior.
• Assessing learning trajectories and monitoring model drift.
• Integrating memory mechanisms within complex multi-agent ecosystems.

Course Format

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

Customization Options

• For organizations requiring tailored content or specific case studies, please contact us to arrange customized training.

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

This instructor-led, live training (online or onsite) is aimed at intermediate-level engineers who wish to build reliable, secure, and scalable integrations between Mastra agents and the broader enterprise ecosystem.

Upon completing 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 secure data exchange and authentication best practices.
• Design integration layers that are scalable, maintainable, and production ready.

Format of the Course

• Interactive lecture and discussion.
• 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.

AgentCore empowers AI agents to deliver highly interactive, dynamic, and context-aware experiences by providing robust memory persistence, a secure code interpreter, and advanced browser capabilities.

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

Upon completion, participants will have the ability 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 to facilitate real-time data acquisition and UI engagement.
• Develop interactive agents tailored for analytics, customer support, and research applications.

Training Delivery Format

• Engaging lectures combined with open discussion sessions.
• Practical lab exercises focused on AgentCore memory and tool utilization.
• In-depth case studies covering analytics, automation, and customer support scenarios.

Customization Options

• Reach out to our team to arrange a tailored training experience for this course.

The AgentCore Runtime & Gateway is an AWS service combination designed for packaging, deploying, and securely exposing AI agents, featuring streamlined integrations with external systems.

This instructor-led live training (available online or onsite) targets intermediate engineering teams looking to transition from agent prototypes to production by mastering the AgentCore Runtime for deployment and the Gateway for secure connectivity and API integration.

Upon completion of this training, participants will be able 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 using stable contracts.
• Implement observability, logging, and usage monitoring for production operations.

Course Format

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

Course Customization Options

• To request customized training for this course, please contact us to make arrangements.

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

This instructor-led training, available either online or onsite, targets intermediate-level developers looking to build real-world applications utilizing autonomous AI agents within the Antigravity ecosystem.

Upon completing this training, participants will be capable of:

• Developing applications that depend on autonomous and coordinated AI agents.
• Utilizing the Antigravity IDE, editor, terminal, and browser for comprehensive development.
• Overseeing multi-agent workflows via the Agent Manager.
• Integrating agent functionalities into production-ready software systems.

Course Format

• A mix of presentations accompanied by detailed demonstrations.
• Substantial hands-on practice with guided exercises.
• Practical implementation work within the live Antigravity environment.

Customization Options

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

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 designed for developing agents that can interact with web applications, browser environments, and multi-surface workflows.

This instructor-led training session, available both online and on-site, is tailored for intermediate-level professionals looking to build, automate, and test workflows within browser environments 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 performance in UI-driven settings.
• Deploy cross-surface automation strategies utilizing Antigravity.

Course Format

• Guided instruction complemented by live demonstrations.
• Practical, hands-on activities and scenario-based exercises.
• Implementation of agent workflows within an interactive lab environment.

Customization Options

• For specific training needs, please contact us to customize the course according to your objectives.

AgentCore streamlines the creation, optimization, and oversight of fully managed AI agents by offering a comprehensive suite of services designed for large-scale deployment.

This live, instructor-led session (available online or in-person) is designed for practitioners ranging from beginners to intermediates who are eager to acquire 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 for developing AI agents.
• Architect and set up basic AI agents utilizing managed services.
• Combine workflows to bolster agent functionality.
• Launch and monitor AI agents within production settings.

Course Format

• Engaging lectures paired with interactive discussions.
• Practical labs focused on AgentCore services.
• Structured exercises guiding you from agent conception to deployment.

Customization Availability

• To request a tailored training experience for this course, please reach out to us to make arrangements.

This live, instructor-led session—available both online and on-site—is specifically designed for mid-level software developers and engineering teams aiming to construct scalable, observable AI systems utilizing Mastra.

Upon completion of this program, attendees will possess the ability to:

• Grasp Mastra’s architectural design and its integration capabilities with LLMs and external APIs.
• Architect and develop AI agents and workflows using TypeScript.
• Leverage Mastra’s observability and memory utilities to track and enhance agent performance.
• Release production-grade AI applications by utilizing Mastra’s core framework capabilities.

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

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

Upon completion of this training, participants will be able to 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 to monitor reliability, drift, and hallucinations.
• Design QA strategies to ensure consistent and predictable agent performance.

Course Format

• Interactive lectures and discussions.
• Hands-on exercises in debugging and evaluation.
• Live-lab analysis of agent behaviors using 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 empowers sophisticated workflow automation and coordination across multiple AI agents within distributed systems.

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

Upon completion, participants will acquire the skills to:

• Design intricate workflows leveraging Mastra's orchestration capabilities.
• Coordinate multiple agents executing 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 focused on workflow design and automation.
• Practical implementation within a containerized live-lab environment.

Customization Options

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

Google Antigravity serves as a platform focused on agents, enabling the orchestration, supervision, and coordination of workflows driven by AI for coding and automation.

This guided training session, available online or in person, is designed for professionals at an intermediate level who aim to create, oversee, and enhance multi-agent workflows within the Google Antigravity environment.

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

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

Course Format

• Guided presentations accompanied by practical demonstrations.
• Scenario-based exercises addressing real-world workflow challenges.
• Practical experimentation within a live Antigravity workspace.

Options for Customizing the Course

• For a customized version of this course, please reach out to us to discuss available options.

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

This instructor-led training (available online or onsite) 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 able to:

• Evaluate the accuracy and safety of code artifacts produced by agents.
• Employ structured methods to verify tasks executed by agents.
• Analyze browser recordings and effectively track agent activity.
• Apply QA and security best practices to ensure the reliability of agent workflows.

Course Format

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

Customization Options

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