Model Context Protocol (MCP) for AI Integration Training Course

Google Antigravity serves as an agentic development environment tailored for constructing autonomous agents capable of planning, reasoning, coding, and executing tasks through Gemini 3's multimodal capabilities.

This instructor-led live training, available online or onsite, targets advanced technical professionals aiming 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 utilise Gemini 3 for reasoning, planning, and execution.
• Develop agents within Antigravity that can analyse tasks, write code, and interact with tools.
• Integrate Gemini-driven agents with enterprise systems and APIs.
• Optimize agent behaviour, safety, and reliability within complex environments.

Course Format

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

Course Customization Options

• Should your team require domain-specific agent behaviours or custom integrations, please contact us to tailor the programme.

Google Antigravity serves as a sophisticated framework for experimenting with long-lasting agents and emergent interactive dynamics.

This guided, live training session (available online or on-site) is designed for senior professionals aiming to design, analyse, and optimise agents capable of retaining memories, improving through feedback, and evolving across extended operational timelines.

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

• Design memory structures that ensure agent persistence.
• Implement robust feedback loops to influence agent behaviour.
• Assess learning trajectories and model drift.
• Integrate memory mechanisms within complex multi-agent ecosystems.

Course Format

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

Customisation Options

• Should your organisation require tailored content or specific case examples, please contact us to arrange a customised training programme.

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 aiming to construct reliable, secure, and scalable integrations between Mastra agents and the broader enterprise ecosystem.

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

• Deploy API-driven integrations linking Mastra agents with 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.

Format of the Course

• Interactive lectures and discussions.
• Hands-on exercises in integration engineering and API development.
• 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 delivers essential capabilities such as persistent memory, a secure code interpreter, and a browser tool, empowering AI agents to provide dynamic, interactive, and contextually aware experiences.

This live, instructor-led training—available both online and onsite—is tailored for intermediate to advanced technical professionals aiming to design and deploy AI agents that excel in long-term context retention, real-time computation, and direct engagement with web interfaces.

Upon completing this course, participants will possess the ability to:

• Implement AgentCore memory to create stateful, context-aware workflows.
• Utilize the secure code interpreter to perform dynamic calculations and data transformations.
• Integrate the browser tool to facilitate real-time data retrieval and user interface interactions.
• Develop interactive agents suited for analytics, customer support, and research applications.

Course Format

• Interactive lectures and facilitated discussions.
• Practical lab exercises focused on AgentCore memory and associated tools.
• Case study analyses covering analytics, automation, and customer support scenarios.

Course Customization Options

• For inquiries regarding customized training solutions, please contact us to discuss arrangements.

AgentCore Runtime & Gateway is an AWS service pairing designed 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 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 crafted to streamline engineering workflows through intelligent automation.

This instructor-led, live training (available online or onsite) is designed for beginner-level practitioners keen on exploring the fundamentals of Antigravity and understanding how agent-driven coding environments boost productivity.

Upon completing this training, participants will be able to:

• Install and configure Google Antigravity.
• Navigate and comprehend 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.

Course Format

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

This instructor-led live training, available either online or onsite, is tailored for intermediate-level professionals who wish 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 different browser contexts.
• Validate and troubleshoot agent behaviour in user interface-driven environments.
• Implement cross-surface automation strategies using Antigravity.

Format of the Course

• Guided instruction supported by practical 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 specific objectives.

AgentCore streamlines the creation, refinement, and oversight of fully managed AI agents, offering a cohesive set of services designed for large-scale operations.

This live, instructor-led training, available either online or onsite, is designed for practitioners ranging from beginners to intermediates who seek practical experience in constructing robust, production-grade AI agents using AgentCore.

Upon completing this training, participants will be equipped to:

• Grasp the fundamental capabilities of AgentCore within AI agent development.
• Architect and configure basic AI agents leveraging managed services.
• Incorporate workflows to bolster agent functionality.
• Roll out and supervise AI agents within production settings.

Training Format

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

Customization Options

• To discuss tailoring this course to your specific needs, please reach out to us to make arrangements.

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

Upon completion, participants will be capable of:

• Comprehending 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 refine agent performance.
• Deploying production-ready AI applications by leveraging Mastra’s framework capabilities.

Mastra is a framework that provides structured tools for evaluating, debugging, and assuring the reliability of AI agents operating across complex workflows.

This instructor-led, live training (online or onsite) is aimed at intermediate-level practitioners who wish to rigorously test agent behavior, improve reliability, and implement measurable evaluation processes.

At the end of this training, participants will confidently:

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

Format of the Course

• Interactive lecture and discussion.
• Hands-on debugging and evaluation exercises.
• 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 is a framework that empowers sophisticated workflow automation and coordination across multiple AI agents operating within distributed systems.

This instructor-led, live training (available online or onsite) is aimed at intermediate-level practitioners who want to design, orchestrate, and operate multi-agent workflows at scale.

By completing this training, participants will gain the skills to:

• Design complex workflows using Mastra’s orchestration capabilities.
• Coordinate multiple agents performing parallel or dependent tasks.
• Implement monitoring and debugging tools for workflow execution.
• Optimise orchestration logic for reliability, throughput, and automation efficiency.

Format of the Course

• Interactive lecture and discussion.
• Hands-on workflow design and automation exercises.
• Practical implementation in a containerized live-lab environment.

Course Customization Options

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

Google Antigravity is an agent-centric development platform used to orchestrate, supervise, and coordinate AI-driven coding and automation workflows.

This instructor-led, live training (online or onsite) is aimed at intermediate-level professionals who wish to design, manage, and optimize multi-agent workflows within Google Antigravity.

Upon completion of this training, participants will gain the skills to:

• Configure agent responsibilities and orchestration pipelines within the Manager interface.
• Generate and interpret Antigravity artifacts, including task lists, plans, logs, and browser recordings.
• Implement verification strategies to ensure agent actions remain transparent and auditable.
• Optimize multi-agent collaboration for complex development and operational tasks.

Format of the Course

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

Course Customization Options

• If you require a tailored version of this course, please contact us to discuss customization options.

Antigravity is a framework that encapsulates sophisticated workflows for agent-driven development.

This instructor-led training, available either online or onsite, targets intermediate to advanced professionals who wish to verify, validate, and secure the output generated by AI agents operating within Antigravity-driven environments.

Upon completing this training, participants will be able to:

• Evaluate the precision and safety of code artefacts produced by agents.
• Employ structured methodologies to verify tasks executed by agents.
• Analyse browser recordings and monitor agent activity effectively.
• Apply quality assurance and security principles to ensure the reliability of agent workflows.

Course Format

• Instructor-guided technical briefings and discussions.
• Practical exercises centred on verifying real-world agent workflows.
• Hands-on testing and validation within a controlled lab environment.

Customisation Options for the Course

• Adaptation of scenarios, workflows, and testing examples is available upon request.