Model Context Protocol (MCP) for AI Integration Training Course

Google Antigravity serves as an agentic development environment 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, targets advanced technical professionals seeking to design, build, and deploy autonomous agents using Gemini 3 and the Antigravity environment.

After completing this training, participants will be equipped to:

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

• For teams requiring domain-specific agent behaviors or custom integrations, please reach out to us to tailor the program.

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

This instructor-led training session, available online or onsite, targets advanced professionals seeking to design, analyze, and optimize agents that can retain memories, improve through feedback, and evolve over extended operational periods.

Upon completing this course, participants will be able to:

• Construct long-term memory structures to ensure agent persistence.
• Implement robust feedback loops to influence and shape agent behavior.
• Evaluate learning trajectories and assess model drift.
• Integrate memory mechanisms into complex multi-agent ecosystems.

Course Format

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

Customization Options

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

Mastra serves as a framework facilitating deep integration among 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 create reliable, secure, and scalable connections between Mastra agents and the wider enterprise ecosystem.

Upon completing this training, participants will be equipped to:

• Implement API-driven integrations linking Mastra agents with external services.
• Link enterprise data systems and tools into 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.
• Hands-on exercises in integration engineering and API development.
• Live lab implementations based on real-world enterprise scenarios.

Customization Options

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

AgentCore equips AI agents with the ability to deliver dynamic, context-aware, and interactive experiences by providing memory persistence, a secure code interpreter, and an integrated browser tool.

This instructor-led training, available online or onsite, is tailored for intermediate to advanced technical professionals looking to design and deploy AI agents that retain long-term context, perform on-the-fly calculations, and interact directly with web user interfaces.

Upon completion, participants will be able to:

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

Course Format

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

Customization Options

• For a customized training experience, please reach out to us to arrange specific requirements.

AgentCore Runtime & Gateway is a pair of AWS services designed to simplify the packaging, deployment, and secure exposure of AI agents, enabling 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. The course focuses on mastering the AgentCore Runtime for deployment and the Gateway for secure connectivity and API integration.

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

• Provision 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 for effective 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

• For customized training arrangements, please contact us directly.

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 is a platform designed for constructing agents that can interact with web applications, browser environments, and multi-surface workflows.

This instructor-led, live training, available either online or onsite, is intended for intermediate-level professionals who want to build, automate, and test browser-based workflows using Google Antigravity.

Upon completing the training, participants will be able to:

• Create agents that interact with web applications within a browser interface.
• Automate end-to-end workflows across various 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 creation, refinement, and monitoring of fully managed AI agents by offering a comprehensive suite of services designed for scalable deployment.

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

Upon completing this training, participants will be equipped to:

• Grasp the fundamental capabilities of AgentCore in AI agent development.
• Design and configure basic AI agents utilizing managed services.
• Integrate workflows to augment agent functionality.
• Deploy and oversee AI agents within production environments.

Course Format

• Interactive lectures and discussions.
• Practical labs focused on AgentCore services.
• Guided exercises covering the journey from agent concept to deployment.

Customization Options

• To arrange a customized version of this training, please reach out to us.

This live, instructor-led training session (available online or onsite) is tailored for mid-level software engineers and technical teams seeking to construct scalable, observable AI systems utilizing Mastra.

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

• Grasp Mastra's architectural design and its methods for integrating with LLMs and external APIs.
• Architect and develop AI agents and workflows using TypeScript.
• Leverage Mastra's observability and memory capabilities to oversee and refine agent performance.
• Launch production-grade AI applications by utilizing Mastra's framework features.

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, targets intermediate-level practitioners who want to rigorously test agent behavior, enhance reliability, and implement measurable evaluation processes.

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

• Use debugging techniques to identify and correct issues in agent behavior.
• Evaluate agents using structured metrics, benchmarks, and quality scores.
• Deploy tooling and workflows that monitor reliability, drift, and hallucinations.
• Design QA strategies to ensure consistent and predictable agent performance.

Course Format

• Interactive lectures and discussions.
• Hands-on exercises focused on 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 serves as a framework designed to facilitate advanced workflow automation and coordination among multiple AI agents within distributed systems.

This instructor-led, live training (available online or on-site) targets intermediate-level professionals aiming to design, orchestrate, and manage multi-agent workflows at scale.

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

• Create complex workflows utilizing Mastra's orchestration capabilities.
• Coordinate multiple agents executing parallel or dependent tasks.
• Deploy 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 for workflow design and automation.
• Practical implementation within a containerized live-lab environment.

Customization Options

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

Google Antigravity serves as an agent-centric development platform designed to orchestrate, monitor, and coordinate AI-driven coding and automation processes.

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

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

• 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 maintain transparency and auditability in agent actions.
• Optimize multi-agent collaboration for complex development and operational tasks.

Format of the Course

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

Course Customization Options

• For tailored versions 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.