Model Context Protocol (MCP) for AI Integration Training Course

Google Antigravity serves as an agentic development environment designed to construct autonomous agents capable of planning, reasoning, coding, and acting through the multimodal capabilities of Gemini 3.

This instructor-led, live training (available online or onsite) targets advanced-level technical professionals who aim 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 analyze tasks, write code, and interact with various tools.
• Integrate Gemini-driven agents with enterprise systems and APIs.
• Optimize agent behavior, safety, and reliability within complex environments.

Format of the Course

• 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 behaviors or custom integrations, please contact us to tailor the program.

Google Antigravity is a sophisticated framework designed for experimenting with persistent agents and emergent interactive behaviors.

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

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

• Create long-term memory structures for agent persistence.
• Implement effective feedback loops to guide agent behavior.
• Assess learning trajectories and 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 case-specific examples, please 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 looking to create reliable, secure, and scalable integrations between Mastra agents and the broader enterprise ecosystem.

Upon completing 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.

Course Format

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

Course Customization Options

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

AgentCore offers memory persistence, a secure code interpreter, and a browser tool that empower AI agents to provide interactive, dynamic, and context-aware user experiences.

This instructor-led live training, available both online and onsite, is designed for intermediate to advanced technical professionals who want to design and deploy AI agents with long-term context retention, real-time computation capabilities, and direct interaction with web interfaces.

Upon completion, participants will be equipped 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 for real-time data retrieval and UI engagement.
• Develop interactive agents suitable for analytics, customer support, and research applications.

Course Format

• Interactive lectures paired with guided discussions.
• Hands-on lab exercises focusing on AgentCore memory and tool integration.
• Analysis of case studies in analytics, automation, and customer support scenarios.

Customization Options

• To request a customized training tailored to your specific needs for this course, please reach out to us to discuss arrangements.

AgentCore Runtime & Gateway is a complementary AWS service designed to package, deploy, and securely expose AI agents, featuring streamlined integrations with external systems.

This instructor-led, live training (available online or onsite) targets intermediate-level engineering teams looking to transition from agent prototypes to production. Participants will master the AgentCore Runtime for deployment and the Gateway for secure connectivity and API integration.

Upon completing this training, participants will be able to:

• Set up AgentCore Runtime environments and package agents for deployment.
• Expose agents via the Gateway using authenticated, rate-limited endpoints.
• Integrate 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 details.

Antigravity serves as a development platform tailored for creating AI-driven, agent-first applications.

This live training, led by an instructor and available both online and onsite, is designed for intermediate developers aiming to build practical applications using autonomous AI agents within the Antigravity ecosystem.

Upon completion of this course, participants will gain the ability to:

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

Course Format

• A mix of instructional presentations and detailed demonstrations.
• Ample opportunities for hands-on practice with guided exercises.
• Real-world implementation tasks within the Antigravity live environment.

Customization Options

• For training content customized to fit your specific development stack, please reach out to us to arrange a tailored version of this course.

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 for creating agents that can interact with web applications, browser environments, and multi-surface workflows.

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

Upon 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 behavior in user interface-driven environments.
• Implement cross-surface automation strategies utilizing Antigravity.

Course Format

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

Course Customization Options

• For tailored training requirements, please contact us to customize the course to meet your specific objectives.

AgentCore streamlines the journey of developing, refining, and overseeing fully managed AI agents by offering a comprehensive suite of services optimized for large-scale deployment.

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

Upon completion, participants will possess the skills to:

• Grasp the fundamental capabilities of AgentCore within the AI agent development landscape.
• Architect and set up straightforward AI agents leveraging managed services.
• Seamlessly incorporate workflows to bolster agent capabilities.
• Launch and supervise AI agents within production settings.

Course Delivery Style

• Engaging lectures and open discussions.
• Practical labs centered on AgentCore services.
• Step-by-step exercises guiding you from initial concept to final deployment.

Customization Availability

• We welcome requests for customized training; please reach out to discuss your specific needs.

Targeting intermediate developers and engineering teams, this live, instructor-led course (online or onsite) focuses on developing scalable, observable AI systems using Mastra.

Upon completion, participants will be capable of:

• Comprehending Mastra's architecture and its seamless integration with LLMs and external APIs.
• Designing and implementing AI agents and workflows in TypeScript.
• Utilizing Mastra's observability and memory tools to monitor and refine agent performance.
• Deploying production-ready AI applications by leveraging Mastra's framework capabilities.

Mastra offers a framework equipped with structured tools designed to evaluate, debug, and ensure the reliability of AI agents functioning within complex workflows.

This live training, led by an instructor and available either online or on-site, is tailored for intermediate practitioners seeking to rigorously test agent behaviors, enhance reliability, and establish measurable evaluation processes.

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

• Utilize debugging techniques to pinpoint and resolve issues in agent behavior.
• Assess agents through structured metrics, benchmarks, and quality scores.
• Deploy tools and workflows to monitor reliability, detect drift, and identify hallucinations.
• Develop QA strategies that guarantee consistent and predictable agent performance.

Course Format

• Interactive lectures and discussions.
• Practical 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 is a framework designed to facilitate sophisticated workflow automation and coordination across multiple AI agents operating within distributed systems.

This instructor-led live training (available 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 ability to:

• Design complex workflows leveraging 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 in workflow design and automation.
• Practical implementation within a containerized, live-lab environment.

Customization Options

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

Google Antigravity is 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) is tailored for intermediate-level professionals aiming to design, manage, and optimize multi-agent workflows within Google Antigravity.

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

• Configure agent responsibilities and orchestration pipelines through 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 multi-agent collaboration for complex development and operational tasks.

Course Format

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

Course Customization Options

• If you require 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:

• 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.