Model Context Protocol (MCP) for AI Integration Training Course

Google Antigravity serves as an agentic development environment specifically crafted to create autonomous agents capable of planning, reasoning, coding, and executing tasks through the multimodal capabilities of Gemini 3.

This instructor-led live training, available both online and onsite, is tailored for advanced technical professionals seeking to design, build, and deploy autonomous agents using Gemini 3 and the Antigravity ecosystem.

Upon completing this training, participants will be equipped to:

• Construct autonomous workflows that leverage Gemini 3 for reasoning, planning, and execution.
• Develop agents within Antigravity that can analyze tasks, generate code, and interact with various tools.
• Integrate Gemini-powered agents with enterprise systems and APIs.
• Enhance agent behavior, safety, and reliability in complex operational environments.

Course Format

• Expert demonstrations paired with interactive discussions.
• Hands-on experimentation focused on autonomous agent development.
• Practical implementation utilizing Antigravity, Gemini 3, and complementary cloud tools.

Course Customization Options

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

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

This instructor-led training, available both online and onsite, targets advanced-level 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 ability to:

• Design memory structures for agent persistence.
• Implement effective feedback loops to influence agent behavior.
• Evaluate 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

• Should your organization require tailored content or case-specific examples, please contact us to arrange a customized training session.

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 online or onsite, targets intermediate-level engineers looking to build 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 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 ready for production.

Course Format

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

Course Customization Options

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

AgentCore equips AI agents with memory persistence, a secure code interpreter, and a browser tool, empowering them to deliver interactive, dynamic, and context-aware experiences.

This live, instructor-led training (available online or onsite) is designed for intermediate to advanced technical practitioners aiming to build and deploy AI agents that retain long-term context, perform real-time calculations, and engage directly with web interfaces.

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

• Implement AgentCore memory to enable 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 user interface interactions.
• Design interactive agents tailored for analytics, customer support, and research applications.

Course Format

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

Customization Options

• For customized training tailored to your specific needs, please reach out to arrange a session.

AgentCore Runtime & Gateway is an AWS service pairing for packaging, deploying, and securely exposing AI agents with streamlined integrations to external systems.

This instructor-led, live training (online or onsite) is aimed at intermediate-level engineering teams who wish to move from agent prototypes to production by mastering the AgentCore Runtime for deployment and the Gateway for secure connectivity and API integration.

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

• Stand up AgentCore Runtime environments and package agents for deployment.
• Expose agents through Gateway with authenticated, rate-limited endpoints.
• Integrate external tools and APIs into agent workflows using stable contracts.
• Instrument observability, logging, and usage monitoring for production operation.

Format of the Course

• Interactive lecture and discussion.
• Hands-on labs with Runtime deployments and Gateway integrations.
• Practical exercises focused on reliability, security, and rollout.

Course Customization Options

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

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

This instructor-led live training, available either online or on-site, targets intermediate developers keen on constructing real-world applications using autonomous AI agents within the Antigravity ecosystem.

Upon completing this training, participants will gain the ability to:

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

Format of the Course

• A blend of 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 serves as a platform designed for creating agents that can interact with web applications, browser environments, and workflows spanning multiple surfaces.

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

After completing the training, participants will be equipped to:

• Develop agents capable of interacting with web applications within the browser interface.
• Automate complete workflows across different browser contexts.
• Validate and resolve issues related to agent behavior in user interface-driven environments.
• Deploy cross-surface automation strategies leveraging Antigravity.

Course Format

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

Customization Options

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

AgentCore streamlines the creation, improvement, and oversight of fully managed AI agents by offering a cohesive suite of services designed for large-scale deployment.

This live, instructor-led training (available online or onsite) is tailored for beginners to intermediate practitioners seeking practical experience in building production-ready AI agents using AgentCore.

Upon completion, participants will be equipped to:

• Grasp the fundamental capabilities of AgentCore in AI agent development.
• Architect and set up basic AI agents leveraging managed services.
• Integrate workflows to augment agent performance.
• Launch and oversee AI agents in live production settings.

Training Format

• Engaging sessions combining lectures and discussions.
• Practical labs utilizing AgentCore services.
• Structured exercises guiding the journey from concept to release.

Customization Options

• To explore a tailored version of this training, please reach out to us to discuss requirements.

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

By the end of the program, participants will be capable of:

• Understanding Mastra’s architecture and its integration with LLMs and external APIs.
• Designing and implementing AI agents and workflows in TypeScript.
• Utilizing Mastra’s observability and memory tools to track and optimize agent performance.
• Deploying production-ready AI applications using Mastra’s framework features.

Mastra serves as a framework offering structured tools to evaluate, debug, and ensure the reliability of AI agents operating within complex workflows.

This instructor-led live training, available online or onsite, is designed for intermediate-level practitioners who want to rigorously test agent behaviour, enhance reliability, and implement measurable evaluation processes.

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

• Apply debugging techniques to identify and rectify issues with agent behaviour.
• 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 focused on debugging and evaluation.
• Live-lab analysis of agent behaviours using observability tools.

Course Customization Options

• Customised reliability testing scenarios and industry-specific QA methods can be arranged upon request.

Mastra serves as an operational framework intended to streamline the deployment, scaling, and lifecycle management of AI agents within production environments.

This instructor-led live training, available either online or onsite, targets intermediate to advanced technical professionals who require the ability to operationalize AI agents reliably and efficiently across their production systems.

Upon completing this training, participants will be able to:

• Deploy AI agents built on Mastra into controlled, production-grade environments.
• Scale agents both horizontally and vertically by leveraging platform-native primitives.
• Establish observability pipelines to monitor agent behaviour and performance.
• Fine-tune runtime configurations to minimize latency, costs, and operational risks.

Course Format

• Interactive lectures and discussions.
• Practical exercises centred on real-world deployment scenarios.
• Live laboratory implementation utilizing 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 that facilitates sophisticated workflow automation and coordination among multiple AI agents within distributed systems.

This instructor-led live training, available both online and onsite, is designed for 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 performing parallel or dependent tasks.
• Implement 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 workflow design and automation exercises.
• 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 live training, delivered by an instructor via online or onsite sessions, targets intermediate-level professionals aiming to design, manage, and optimize multi-agent workflows within the Google Antigravity environment.

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

• Configure agent responsibilities and orchestration pipelines using 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 collaboration among multiple agents for complex development and operational tasks.

Course Format

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

Customization Options

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

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

This instructor-led, live training (available online or onsite) is designed for 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.