Model Context Protocol (MCP) for AI Integration Training Course

Google Antigravity serves as an agentic development environment engineered to construct autonomous agents capable of planning, reasoning, coding, and executing tasks 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 equipped to:

• Construct autonomous workflows leveraging Gemini 3 for reasoning, planning, and execution.
• Develop agents within Antigravity that can analyse tasks, generate code, and interact with various 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 focused on 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 an advanced framework for experimenting with long-lived agents and emergent interactive behaviors.

This instructor-led training, available online or onsite, is designed for advanced professionals who want to design, analyze, and optimize agents capable of retaining memories, improving through feedback, and evolving over extended operational periods.

Upon completing this course, participants will be able to:

• Design memory structures that ensure agent persistence.
• Implement feedback loops to effectively guide agent behavior.
• Evaluate learning trajectories and monitor model drift.
• Integrate memory mechanisms into complex multi-agent ecosystems.

Course Format

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

Customization Options

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

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

This instructor-led training, available both online and onsite, is designed for intermediate-level engineers aiming to create reliable, secure, and scalable integrations between Mastra agents and the wider enterprise ecosystem.

Upon completing this training, participants will be equipped to:

• Execute API-driven integrations between Mastra agents and 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 use.

Course Format

• Interactive lectures and discussions.
• Hands-on exercises in integration engineering and API development.
• Live laboratory implementations using real-world enterprise scenarios.

Course Customization Options

• Custom API scenarios, enterprise system mappings, or data-integration workshops can be arranged upon request.

AgentCore empowers AI agents to deliver dynamic, context-aware, and interactive experiences by integrating memory persistence, a secure code interpreter, and a dedicated browser tool.

Designed for intermediate to advanced technical practitioners, this live, instructor-led course (available online or onsite) focuses on designing and deploying AI agents that excel at long-term context retention, real-time computation, and seamless interaction with web interfaces.

Upon completion, participants will be equipped to:

• Deploy AgentCore memory to create stateful, context-aware workflows.
• Utilize the secure code interpreter for complex, dynamic calculations and data transformations.
• Integrate the browser tool to facilitate real-time data retrieval and direct UI interaction.
• Architect interactive agents tailored for analytics, customer support, and research applications.

Training Format

• Engaging lectures and collaborative discussions.
• Practical lab exercises focusing on AgentCore memory and tool integration.
• In-depth case studies covering analytics, automation, and customer support scenarios.

Customization Availability

• Seeking tailored training for this curriculum? Please reach out to arrange a customized session.

AgentCore Runtime and Gateway is a paired AWS service designed to streamline the packaging, deployment, and secure exposure of AI agents, enabling seamless integration with external systems.

This instructor-led live training, available either online or onsite, targets intermediate-level engineering teams looking to transition their AI agents from prototype stages to production. Participants will master the AgentCore Runtime for deployment processes and the Gateway for establishing secure connectivity and robust API integration.

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

• Set up AgentCore Runtime environments and package agents for deployment.
• Expose agents via Gateway using authenticated and rate-limited endpoints.
• Connect 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.
• Practical labs involving Runtime deployments and Gateway integrations.
• Exercises focused on reliability, security, and release strategies.

Customization Options

• For customized training arrangements, please contact us.

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

This instructor-led, live training (available online or onsite) targets intermediate-level developers seeking to build real-world applications using autonomous AI agents within the Antigravity environment.

Upon completing this training, participants will be able to:

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

Course Format

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

Course Customization Options

• To secure 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 built to streamline engineering workflows via intelligent automation.

This instructor-led live training, available either online or onsite, is designed for beginners who want to discover the basics of Antigravity and learn 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 straightforward development tasks.
• Leverage Antigravity to generate, refine, and manage project files.

Course Format

• Instructor explanations complemented by real-time demonstrations.
• Guided exercises focusing on practical use of agents.
• Hands-on exploration of core Antigravity features within a controlled lab environment.

Course Customization Options

• For a customized version of this training, please reach out to us to arrange a tailored program.

Google Antigravity is a platform designed for creating agents that can interact with web applications, browser environments, and workflows spanning multiple surfaces.

This instructor-led live training, available both online and onsite, targets intermediate-level professionals who want to build, automate, and test browser-based workflows using Google Antigravity.

After completing the training, participants will be able to:

• Develop agents that interact with web applications within a browser interface.
• Automate end-to-end workflows across different browser contexts.
• Validate and troubleshoot agent behaviour in UI-driven environments.
• Implement cross-surface automation strategies using Antigravity.

Course Format

• Guided instruction complemented by practical demonstrations.
• Hands-on exercises and scenario-based activities.
• 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, optimization, and oversight of fully managed AI agents by offering a cohesive set of services designed for large-scale deployment.

Delivered as a live, instructor-led session (available online or onsite), this course is tailored for practitioners ranging from beginners to intermediates who are eager to build production-grade AI agents using AgentCore.

Upon completing this training, participants will be equipped to:

• Grasp the fundamental capabilities of AgentCore in AI agent development.
• Architect and configure basic AI agents leveraging managed services.
• Integrate workflows to bolster agent performance.
• Deploy and monitor AI agents within production environments.

Course Delivery Structure

• Engaging lectures and open discussions.
• Practical labs utilizing AgentCore services.
• Guided exercises covering the full lifecycle from concept to deployment.

Tailored Training Options

• For those seeking a customized training experience, please reach out to us to make arrangements.

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

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

• Comprehend Mastra's architecture and its interoperability with LLMs and external APIs.
• Structure and deploy AI agents and workflows using TypeScript.
• Utilize Mastra's observability and memory tools to track and optimize agent performance.
• Ship production-ready AI applications by harnessing Mastra's framework capabilities.

Mastra is a framework that offers structured tools for evaluating, debugging, and ensuring the reliability of AI agents operating within complex workflows.

This instructor-led, live training session (available online or on-site) is designed for intermediate-level practitioners who want to rigorously test agent behavior, enhance reliability, and implement measurable evaluation processes.

Upon completing this training, participants will be able to confidently:

• Apply debugging techniques to identify and rectify issues in agent behavior.
• Evaluate agents using 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.
• Hands-on exercises in 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 is a framework designed to facilitate sophisticated workflow automation and coordination among multiple AI agents within distributed systems.

This instructor-led live training, available either online or onsite, targets 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 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.

Format of the Course

• Interactive lectures and discussions.
• Hands-on exercises involving 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 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, is tailored for intermediate-level professionals seeking to design, manage, and optimize multi-agent workflows within the Google Antigravity environment.

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

• 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 audibility in agent actions.
• Optimize collaboration among multiple agents to handle complex development and operational tasks.

Course Format

• Guided presentations coupled with 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 specific 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.