Model Context Protocol (MCP) for AI Integration Training Course

Google Antigravity serves as an agentic development environment tailored for creating autonomous agents that can plan, reason, code, and act by leveraging the multimodal capabilities of Gemini 3.

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

Upon completing this training, participants will be equipped to:

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

Course Format

• Expert demonstrations paired with interactive discussions.
• Hands-on experimentation focused on 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 an advanced framework designed for experimenting with long-lived agents and emergent interactive behaviors.

This instructor-led training session, available both online and onsite, is tailored for advanced professionals aiming to design, analyze, and optimize agents that can retain memories, enhance performance through feedback, and evolve over extended operational periods.

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

• Design memory structures that ensure agent persistence.
• Implement effective feedback loops to guide agent behavior.
• Assess learning progress 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.
• Application of concepts within simulated agent environments.

Customization Options

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

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

This instructor-led live training, available online or onsite, targets intermediate-level engineers aiming to construct reliable, secure, and scalable integrations between Mastra agents and the broader enterprise ecosystem.

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

• Develop API-driven integrations linking 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.

Course Format

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

Customization Options

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

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

This instructor-led live training, available online or onsite, is tailored for intermediate to advanced technical practitioners seeking to design and deploy AI agents capable of long-term context retention, real-time computation, and direct interaction with web interfaces.

Upon completion, participants will be equipped to:

• Implement AgentCore memory to support stateful, context-aware workflows.
• Utilize the secure code interpreter for dynamic calculations and data transformations.
• Integrate the browser tool to facilitate real-time data retrieval and UI interactions.
• Design interactive agents for analytics, customer support, and research applications.

Course Format

• Interactive lectures and discussions.
• Hands-on laboratory exercises utilizing AgentCore memory and tools.
• Case studies covering analytics, automation, and customer support scenarios.

Customization Options

• To request a customized training experience for this course, please contact us to coordinate details.

AgentCore Runtime & Gateway is a pair of AWS services 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 agent prototypes into production environments. Participants will master the AgentCore Runtime for deployment tasks and the Gateway for secure connectivity and API integration.

Upon completion of this training, participants will be capable of:

• Setting up AgentCore Runtime environments and packaging agents for deployment.
• Exposing agents through 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 focused on Runtime deployments and Gateway integrations.
• Practical exercises emphasizing reliability, security, and deployment strategies.

Course Customization Options

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

Antigravity is a development platform specifically designed for constructing AI-driven, agent-first applications.

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

Upon completing this training, participants will be able to:

• Create applications that depend on autonomous and coordinated AI agents.
• Utilize the Antigravity IDE, editor, terminal, and browser for comprehensive, end-to-end development.
• Manage multi-agent workflows effectively using the Agent Manager.
• Integrate agent capabilities into robust, production-grade software systems.

Format of the Course

• A blend of presentations with detailed, in-depth demonstrations.
• Extensive hands-on practice supported by guided exercises.
• Real-world implementation work conducted 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 serves as a platform designed for developing agents that interact with web applications, browser environments, and multi-surface workflows.

This instructor-led, live training (available online or onsite) targets intermediate-level professionals who want 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 development, enhancement, and oversight of fully managed AI agents by offering a comprehensive suite of services designed for scalable deployment.

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

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

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

Course Delivery Method

• Interactive lectures and discussions.
• Practical labs utilizing AgentCore services.
• Guided exercises covering the entire process from agent conception to deployment.

Customization Availability

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

This live, instructor-led training—available online or onsite—is tailored for intermediate-level software developers and engineering teams seeking to construct scalable and observable AI systems with Mastra.

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

• Comprehend Mastra’s architecture and its integration mechanisms with LLMs and external APIs.
• Architect and build AI agents and workflows using TypeScript.
• Leverage Mastra’s observability and memory capabilities to track and enhance agent performance.
• Launch production-ready AI applications by utilizing Mastra’s core framework features.

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

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

Upon completion, participants will be able to confidently:

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

Course Format

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

Course Customisation Options

• Bespoke 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 serves as a framework that facilitates sophisticated workflow automation and coordination across multiple AI agents operating within distributed systems.

This instructor-led, live training (available online or onsite) is designed for intermediate-level practitioners aiming to design, orchestrate, and manage multi-agent workflows at scale.

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

• Design complex workflows utilizing 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 workflow design and automation exercises.
• 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 serves as an agent-centric development platform designed to orchestrate, supervise, and coordinate AI-driven coding and automation workflows.

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

Upon completing this training, participants will acquire the following skills:

• Configure agent responsibilities and orchestration pipelines via 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 auditable.
• Optimize collaboration among multiple agents to handle complex development and operational tasks.

Course Format

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

Customization Options

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

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:

• Evaluate the correctness and security of code artifacts produced by agents.
• Employ structured methods to verify tasks executed by agents.
• Analyse browser recordings and trace agent activity efficiently.
• Apply quality assurance 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.