Model Context Protocol (MCP) for AI Integration Training Course

Google Antigravity serves as an agentic development environment for creating autonomous agents that plan, reason, code, and act via Gemini 3's multimodal capabilities.

This instructor-led, live training (available online or onsite) targets advanced-level technical professionals looking to design, build, and deploy autonomous agents using Gemini 3 and the Antigravity environment.

Upon completing this training, participants will be able to:

• Construct autonomous workflows leveraging Gemini 3 for reasoning, planning, and execution.
• Create agents in Antigravity capable of analysing tasks, writing code, and interacting with tools.
• Integrate Gemini-driven agents with enterprise systems and APIs.
• Enhance agent behaviour, safety, and reliability within 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 Customization Options

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

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

This instructor-led training session, available either online or on-site, targets advanced-level professionals eager 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 acquire the ability to:

• Architect long-term memory structures to ensure agent persistence.
• Deploy effective feedback loops to guide agent behavior.
• Assess learning progressions and monitor model drift.
• Integrate memory mechanisms into complex multi-agent ecosystems.

Course Format

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

Customization Options

• Should your organization require tailored content or case-specific examples, please reach out to 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 both online and onsite, targets intermediate-level engineers looking to build reliable, secure, and scalable integrations between Mastra agents and the wider enterprise ecosystem.

Upon completing 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 production ready.

Course Format

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

Customization Options

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

AgentCore empowers AI agents to deliver interactive, dynamic, and context-aware experiences through features such as memory persistence, a secure code interpreter, and a browser tool.

This instructor-led live training, available either online or onsite, is designed for intermediate to advanced technical professionals aiming to build and deploy AI agents capable of retaining long-term context, performing on-the-fly computations, and interacting directly with web interfaces.

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 to enable real-time data retrieval and user interface interaction.
• Design interactive agents tailored for analytics, customer support, and research applications.

Course Format

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

Customization Options

• To arrange custom training for this course, please contact us to discuss your needs.

AgentCore Runtime & Gateway is a paired AWS service designed to simplify the packaging, deployment, and secure exposure of AI agents, along with streamlined integrations for external systems.

This instructor-led live training, available both online and onsite, is tailored for intermediate-level engineering teams aiming to transition from agent prototypes to production. The course focuses on mastering the AgentCore Runtime for deployment and the Gateway for secure connectivity and API integration.

Upon completing 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 through stable contracts.
• Implement observability, logging, and usage monitoring to support production operations.

Course Format

• Interactive lectures and discussions.
• Hands-on labs featuring 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 arrange it.

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-centric development environment designed to optimize engineering workflows through intelligent automation.

This instructor-led, live training (available online or onsite) targets beginner-level professionals looking to explore the fundamentals of Antigravity and understand how agent-driven coding environments can 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 effectively with agents to automate basic development tasks.
• Utilize Antigravity to generate, refine, and manage project files.

Course Format

• Instructor-led explanations accompanied by real-time demonstrations.
• Guided exercises focusing on hands-on interaction with agents.
• Practical exploration of core Antigravity features within a controlled lab environment.

Course Customization Options

• If you need a tailored version of this training, please contact us to arrange a customized program.

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

This instructor-led, live training (available online or onsite) is designed for intermediate-level professionals who wish 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 monitoring of fully managed AI agents by offering a comprehensive suite of services designed for large-scale deployment.

This instructor-led, live training (available online or onsite) is designed for practitioners at beginner to intermediate levels who want to gain practical experience in creating production-ready AI agents using AgentCore.

Upon completing this training, participants will be able to:

• Grasp the core capabilities of AgentCore for AI agent development.
• Design and configure basic AI agents using managed services.
• Integrate workflows to improve agent functionality.
• Deploy and monitor AI agents within production environments.

Course Format

• Interactive lectures and discussions.
• Hands-on labs featuring AgentCore services.
• Guided exercises covering the entire process from concept to deployment.

Course Customization Options

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

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

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

• Comprehend Mastra’s architecture and its integration with Large Language Models (LLMs) and external APIs.
• Architect and implement AI agents and workflows using TypeScript.
• Leverage Mastra’s observability and memory capabilities to monitor and enhance agent performance.
• Deploy production-grade AI applications by exploiting the full potential of Mastra’s framework features.

Mastra is a framework offering structured tools for the evaluation, debugging, and reliability assurance of AI agents operating within complex workflows.

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

Upon completion, participants will be able to confidently:

• Utilize debugging techniques to identify and rectify issues in agent behavior.
• 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 behaviors utilizing 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 enables 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.

Upon completing this training, participants will acquire 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 processes.

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

Upon completing this course, participants will be equipped with the skills 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.
• Apply verification strategies to maintain transparency and auditability in agent actions.
• Enhance multi-agent collaboration for complex development and operational tasks.

Course Format

• Guided presentations alongside practical demonstrations.
• Scenario-based exercises addressing 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 your specific needs.

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

This instructor-led, live training, available either online or onsite, is designed for intermediate to advanced professionals seeking to verify, validate, and secure the output generated by AI agents operating in Antigravity-driven environments.

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

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

Course Format

• Instructor-guided technical briefings and discussions.
• Practical exercises focused on verifying real-world agent workflows.
• Hands-on testing and validation within a controlled lab environment.

Course Customization Options

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