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 online or on-site) targets advanced-level professionals who aim to design, analyse, and optimise agents capable of retaining memories, improving through feedback, and evolving over extended operational periods.

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

• Design long-term memory structures to ensure agent persistence.
• Implement effective feedback loops to shape agent behaviour.
• Evaluate learning trajectories and monitor 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.
• Practical application of concepts within simulated agent environments.

Course Customisation Options

• If your organisation requires tailored content or case-specific examples, please contact us to customise this training.

Mastra is a framework that supports 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 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 secure data exchange and authentication best practices.
• Design integration layers that are scalable, maintainable, and production ready.

Course Format

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

Course Customisation Options

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

AgentCore facilitates the creation of interactive, dynamic, and context-aware AI agent experiences by providing memory persistence, a secure code interpreter, and an integrated browser tool.

This instructor-led live training, available online or onsite, is designed for intermediate to advanced technical professionals seeking to develop and deploy AI agents with capabilities in long-term context retention, real-time computation, and direct web UI interaction.

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

• Implement AgentCore memory to establish stateful, context-aware workflows.
• Utilize the secure code interpreter to perform dynamic calculations and data transformations.
• Integrate the browser tool for immediate data acquisition and user interface engagement.
• Design interactive agents tailored for analytics, customer support, and research applications.

Course Delivery Format

• Interactive lectures combined with group discussions.
• Practical lab exercises focused on AgentCore memory and tool utilization.
• Analysis of case studies covering analytics, automation, and customer support scenarios.

Customization Options

• Contact us to request and arrange a customized training curriculum for this course.

AgentCore Runtime and Gateway constitute a pair of AWS services designed to package, deploy, and securely expose AI agents, featuring 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.

By the conclusion of this training, participants will be capable of:

• Establishing 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 through stable contracts.
• Implementing 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 is a development platform designed to build AI-driven, agent-first applications.

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

After completing this training, participants will be equipped to:

• Develop applications that rely on autonomous and coordinated AI agents.
• Use the Antigravity IDE, editor, terminal, and browser for end-to-end development.
• Manage multi-agent workflows with the Agent Manager.
• Integrate agent capabilities into production-grade software systems.

Format of the Course

• Blended presentations with in-depth demonstrations.
• Extensive hands-on practice and guided exercises.
• Real implementation work inside the Antigravity live environment.

Course Customization Options

• For tailored content aligned with your 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 serves as a comprehensive platform designed for constructing agents that can effectively interact with web applications, browser environments, and multi-surface workflows.

This instructor-led, live training session—available both online and onsite—is tailored for intermediate-level professionals aiming to build, automate, and test browser-based workflows using Google Antigravity.

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

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

Training 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 tailored training needs, please reach out to us to customize the course content to align with your specific goals.

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

This live, instructor-led training (available online or onsite) is designed for practitioners with beginner to intermediate experience who seek practical skills in developing production-ready AI agents using AgentCore.

Upon completion, participants will be equipped to:

• Comprehend the fundamental capabilities of AgentCore in AI agent development.
• Architect and set up basic AI agents leveraging managed services.
• Incorporate workflows to boost agent capabilities.
• Launch and oversee AI agents in live production settings.

Course Delivery Format

• Engaging lectures and interactive discussions.
• Practical labs utilizing AgentCore services.
• Structured exercises guiding you from concept to rollout.

Customization Possibilities

• For tailored training options, please reach out to schedule a discussion.

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

Upon completion, participants will be equipped to:

• Understand Mastra’s architecture and how it connects with LLMs and external APIs.
• Design and create AI agents and workflows using TypeScript.
• Utilize Mastra’s observability and memory tools to monitor and boost agent performance.
• Launch production-ready AI applications by harnessing Mastra’s framework capabilities.

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 behaviour, improve reliability, and implement measurable evaluation processes.

By the end of this training, participants will confidently:

• Apply debugging techniques to identify and correct agent behaviour 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.

Course Format

• Interactive lecture and discussion.
• Hands-on debugging and evaluation exercises.
• Live-lab analysis of agent behaviours using observability tools.

Course Customisation Options

• Customised 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 on-site, is tailored for intermediate-level professionals aiming to design, orchestrate, and manage multi-agent workflows at scale.

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

• Design complex workflows leveraging Mastra’s orchestration capabilities.
• 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

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

Google Antigravity is an agent-centric development platform used to orchestrate, supervise, and coordinate AI-driven coding and automation workflows.

This instructor-led, live training (online or onsite) is aimed at intermediate-level professionals who wish to design, manage, and optimise multi-agent workflows within Google Antigravity.

Upon completion of this training, participants will gain the skills to:

• Configure agent responsibilities and orchestration pipelines within the Manager interface.
• Generate and interpret Antigravity artifacts, including task lists, plans, logs, and browser recordings.
• Implement verification strategies to ensure agent actions remain transparent and auditable.
• Optimise 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 Customisation Options

• If you require a tailored version of this course, please contact us to discuss customisation options.

Antigravity is a framework that represents 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 produced by AI agents working within Antigravity-driven environments.

Upon completing this training, participants will be able to:

• Assess the accuracy and safety of agent-generated code artifacts.
• Use structured techniques to verify agent-executed tasks.
• Analyse browser recordings and trace agent activity effectively.
• Apply QA 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 agent workflows.
• Hands-on testing and validation within a controlled lab environment.

Course Customisation Options

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