Model Context Protocol (MCP) for AI Integration Training Course

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

This instructor-led, live training (available online or on-site) is targeted at advanced technical professionals who wish to design, build, and deploy autonomous agents using Gemini 3 and the Antigravity environment.

Upon completing this training, participants will be equipped to:

• Build autonomous workflows that leverage Gemini 3 for reasoning, planning, and execution.
• Develop agents in Antigravity that can analyse tasks, write code, and interact with tools.
• Integrate Gemini-driven agents with enterprise systems and APIs.
• Optimise agent behaviour, safety, and reliability in complex environments.

Course Format

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

Course Customisation Options

• If your team requires domain-specific agent behaviours or custom integrations, please contact us to tailor the programme.

Google Antigravity serves as a sophisticated framework for exploring long-lived agents and the emergence of interactive behaviours.

This instructor-led, live training, available online or onsite, targets advanced professionals seeking to design, analyse, and optimise agents that retain memories, improve through feedback, and evolve across extended operational periods.

Upon completion of this course, participants will acquire the following capabilities:

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

Course Format

• Expert-led discussions combined with technical demonstrations.
• Hands-on exploration via structured design challenges.
• Application of concepts within simulated agent environments.

Course Customization Options

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

This instructor-led, live training (available online or onsite) is designed for intermediate-level engineers aiming to build reliable, secure, and scalable integrations between Mastra agents and the broader enterprise ecosystem.

Upon completion of this training, participants will be equipped 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 ready for production.

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 equips AI agents with memory persistence, a secure code interpreter, and a browser tool, enabling the delivery of interactive, dynamic, and context-aware experiences.

This instructor-led, live training (available online or onsite) is designed for intermediate to advanced technical professionals who aim to design and deploy AI agents capable of long-term context retention, real-time computation, and direct interaction with web UIs.

Upon completing this training, participants will be able to:

• Implement 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 retrieval and UI interaction.
• Develop interactive agents for analytics, customer support, and research applications.

Course Format

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

Customization Options

• For bespoke training tailored to this curriculum, please contact us to discuss your requirements.

AgentCore Runtime & Gateway is an AWS service pairing for packaging, deploying, and securely exposing AI agents with streamlined integrations to external systems.

This instructor-led, live training (online or onsite) is aimed at intermediate-level engineering teams who wish to move from agent prototypes to production by mastering the AgentCore Runtime for deployment and the Gateway for secure connectivity and API integration.

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

• Stand up AgentCore Runtime environments and package agents for deployment.
• Expose agents through Gateway with authenticated, rate-limited endpoints.
• Integrate external tools and APIs into agent workflows using stable contracts.
• Instrument observability, logging, and usage monitoring for production operation.

Format of the Course

• Interactive lecture and discussion.
• Hands-on labs with Runtime deployments and Gateway integrations.
• Practical exercises focused on reliability, security, and rollout.

Course Customization Options

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

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 Customisation Options

• If you require a tailored version of this training, please contact us to arrange a customised programme.

Google Antigravity serves as a platform for constructing agents capable of interacting with web applications, browser environments, and multi-surface workflows.

This instructor-led, live training (available online or onsite) targets intermediate-level professionals seeking 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 lifecycle of creating, refining, and overseeing fully managed AI agents by offering a cohesive suite of services designed for large-scale deployment.

This interactive, instructor-led training—available either online or on-site—is tailored for professionals ranging from beginners to intermediate practitioners who seek practical experience in building production-ready 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 leveraging managed services.
• Incorporate workflows to augment agent performance.
• Launch and oversee AI agents within live production settings.

Training Format

• Engaging lectures paired with open discussions.
• Practical laboratories utilizing AgentCore services.
• Supervised exercises covering the full spectrum from agent conception to deployment.

Customization Options

• To explore bespoke training tailored to this curriculum, please reach out to us to discuss requirements.

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

Upon completion, participants will be equipped to:

• Comprehend Mastra’s architecture and its integration capabilities with LLMs and external APIs.
• Architect and build AI agents and workflows utilizing TypeScript.
• Leverage Mastra’s observability and memory tools to oversee and enhance agent performance.
• Release production-ready AI applications by harnessing Mastra’s framework capabilities.

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

This live training session, led by an instructor and available both online or onsite, targets intermediate-level practitioners aiming to rigorously test agent behaviour, enhance reliability, and establish measurable evaluation processes.

Upon completing this training, participants will be able to:

• Apply debugging techniques to identify and rectify issues in agent behaviour.
• Evaluate agents through structured metrics, benchmarks, and quality scores.
• Implement tooling and workflows that monitor reliability, drift, and hallucinations.
• Design QA strategies that guarantee consistent and predictable agent performance.

Course Format

• Interactive lectures and discussions.
• Practical exercises focused on debugging and evaluation.
• Live-lab analysis of agent behaviours using observability tools.

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 that facilitates 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 an agent-centric development platform designed to orchestrate, supervise, and coordinate AI-driven coding and automation workflows.

This instructor-led live training, available either online or onsite, targets intermediate-level professionals aiming to design, manage, and optimise multi-agent workflows within Google Antigravity.

Upon completion of this training, participants will acquire 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 Customization Options

• If you require a tailored version of this course, please contact us to discuss customization 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.
• Analyze 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 Customization Options

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