Model Context Protocol (MCP) for AI Integration Training Course

Google Antigravity serves as an agentic development platform engineered to create autonomous agents capable of planning, reasoning, coding, and executing actions via the multimodal capabilities of Gemini 3.

This live training, facilitated by an instructor (available online or on-site), is designed for advanced technical professionals seeking to design, build, and deploy autonomous agents leveraging Gemini 3 and the Antigravity environment.

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

• Construct autonomous workflows that utilize Gemini 3 for reasoning, planning, and execution.
• Develop agents within Antigravity capable of analyzing tasks, writing code, and interacting with various tools.
• Integrate Gemini-powered agents into enterprise systems and APIs.
• Enhance agent behavior, safety, and reliability within complex environments.

Course Format

• Expert-led demonstrations complemented by interactive discussions.
• Hands-on experimentation focused on autonomous agent development.
• Practical implementation utilizing 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 who aim 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 acquire the skills to:

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

Course Format

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

Customization Options

• Organizations requiring tailored content or case-specific examples are encouraged to contact us to customize this training.

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) targets intermediate-level engineers aiming to construct reliable, secure, and scalable integrations connecting Mastra agents with the broader enterprise ecosystem.

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

• Implement API-driven integrations linking Mastra agents with external services.
• Connect 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.

Format of the Course

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

Course Customization Options

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

AgentCore empowers AI agents with persistent memory, a secure code execution environment, and browser integration, allowing them to deliver engaging, dynamic, and contextually aware experiences.

This instructor-led, live session (available online or on-site) targets intermediate to advanced technical professionals seeking to architect and launch AI agents that retain long-term context, perform on-the-fly calculations, and interact directly with web interfaces.

Upon completion, participants will be equipped to:

• Deploy AgentCore memory to support stateful, context-aware workflows.
• Utilize the secure code interpreter for dynamic data processing and transformations.
• Integrate the browser tool for live data acquisition and UI interaction.
• Develop interactive agents for analytics, customer service, and research applications.

Course Format

• Engaging lectures and facilitated discussions.
• Practical lab exercises focused on AgentCore memory and tools.
• Analytical, automation, and customer support case studies.

Customization Options

• Please reach out to us to discuss customized training options for this course.

AgentCore Runtime & Gateway serves as a complementary AWS service pair designed for packaging, deploying, and securely exposing AI agents, featuring streamlined integrations with external systems.

This instructor-led live training (available online or onsite) targets intermediate engineering teams aiming to transition from agent prototypes to production environments. The course focuses on mastering AgentCore Runtime for deployment and Gateway for secure connectivity and API integration.

Upon completion of 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.
• Incorporate external tools and APIs into agent workflows through stable contracts.
• Implement observability, logging, and usage monitoring for production operations.

Course Format

• Interactive lectures and discussions.
• Hands-on labs covering 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.

Antigravity serves as a specialized development platform aimed at constructing AI-driven, agent-centric applications.

This instructor-led live training, available in both online and onsite formats, targets intermediate developers looking to build practical solutions using autonomous AI agents within the Antigravity ecosystem.

Upon completion, participants will be able to:

• Create applications that leverage autonomous and coordinated AI agents.
• Utilize the Antigravity IDE, editor, terminal, and browser for comprehensive development workflows.
• Orchestrate multi-agent workflows using the Agent Manager.
• Seamlessly integrate agent capabilities into production-grade software systems.

Course Format

• A blend of conceptual presentations and in-depth technical demonstrations.
• Extensive hands-on practice supported by guided exercises.
• Real-world implementation tasks conducted within the live Antigravity environment.

Customization Options

• For content tailored to your specific development stack, please reach out to us to arrange a customized training session.

Google Antigravity stands as an agent-centric development platform engineered to optimize engineering workflows via intelligent automation.

This session, led by an instructor and available either online or at your location, targets novice practitioners eager to delve into the basics of Antigravity and grasp how agent-enabled coding environments can boost productivity.

After finishing this training, attendees will gain the ability to:

• Set up and configure Google Antigravity.
• Navigate and comprehend both the Editor View and Manager View interfaces.
• Collaborate efficiently with agents to automate basic development activities.
• Leverage Antigravity to create, refine, and oversee project files.

Course Structure

• Explanations from the instructor backed by live demonstrations.
• Structured exercises emphasizing hands-on interaction with agents.
• Practical investigation of essential Antigravity features within a secure lab setting.

Customization Opportunities

• For a version of this training tailored to your specific needs, please reach out to us to organize a bespoke program.

Google Antigravity serves as a platform designed for developing agents that can interact with web applications, browser environments, and multi-surface workflows.

This instructor-led live training (available online or onsite) targets intermediate-level professionals aiming to build, automate, and test browser-based workflows using Google Antigravity.

After 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 user interface-driven environments.
• Implement cross-surface automation strategies using Antigravity.

Course Format

• Guided instruction supported by live demonstrations.
• Practical, hands-on activities and scenario-based exercises.
• Implementation of agent workflows in an interactive lab environment.

Course Customization Options

• For tailored training needs, please contact us to adapt the course to your specific objectives.

AgentCore streamlines the development, enhancement, and monitoring of fully managed AI agents by offering a cohesive suite of services designed for scalable deployment.

Delivered as a live, instructor-led session (either online or onsite), this course is tailored for practitioners ranging from beginners to intermediate levels who seek practical experience in constructing production-grade AI agents using AgentCore.

Upon completion, participants will be equipped to:

• Grasp the fundamental capabilities of AgentCore for AI agent development.
• Architect and configure basic AI agents leveraging managed services.
• Incorporate workflows to augment agent functionality.
• Deploy and oversee AI agents within production environments.

Course Format

• Engaging lectures combined with interactive discussions.
• Practical labs utilizing AgentCore services.
• Supervised exercises guiding the journey from agent concept to deployment.

Customization Options

• To explore tailored training options for this curriculum, please reach out to arrange a session.

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

By the conclusion of the program, participants will be able to:

• Understand Mastra’s architecture and how it interfaces with LLMs and external APIs.
• Design and implement AI agents and workflows using TypeScript.
• Utilize Mastra’s observability and memory tools to monitor and enhance agent performance.
• Deploy production-ready AI applications by leveraging Mastra’s framework capabilities.

Mastra serves as a framework offering structured tools for evaluating, debugging, and ensuring the reliability of AI agents within complex workflows.

This live training, led by an instructor and available online or on-site, is designed for intermediate practitioners who aim to rigorously test agent behavior, enhance reliability, and establish measurable evaluation processes.

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

• Utilize debugging techniques to identify and resolve agent behavior issues.
• Evaluate agents through structured metrics, benchmarks, and quality scores.
• Implement 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 exercises in debugging and evaluation.
• Live-lab analysis of agent behaviors using observability tools.

Course 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 operating within distributed systems.

This instructor-led training, available both online and onsite, targets intermediate 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 to perform 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 in 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 online or onsite) targets intermediate-level professionals looking to design, manage, and optimize multi-agent workflows within the Google Antigravity ecosystem.

Upon completing this training, participants will be equipped with the following skills:

• Configure agent responsibilities and orchestration pipelines via the Manager interface.
• Generate and interpret Antigravity artifacts, including 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.

Course Format

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

Course Customization Options

• For a tailored version of this course, please contact us to discuss customization possibilities.

Antigravity serves as a framework that embodies sophisticated, agent-led development workflows.

This instructor-led live training, available both online and onsite, targets intermediate to advanced professionals seeking to verify, validate, and secure the outputs generated by AI agents operating within Antigravity environments.

After completing this training, participants will be capable of:

• Evaluating the accuracy and safety of code artifacts created by agents.
• Applying structured methods to verify tasks executed by agents.
• Effectively analyzing browser recordings to trace agent activity.
• Implementing QA and security standards to guarantee the reliability of agent-driven workflows.

Course Format

• Instructor-guided technical briefings and interactive discussions.
• Practical exercises centered on verifying authentic agent workflows.
• Hands-on testing and validation within a secure lab environment.

Customization Options

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