AI Agents for Robotics and Human-AI Collaboration Training Course

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

This instructor-led live training, available in online or onsite formats, targets advanced technical professionals keen on designing, building, and deploying autonomous agents leveraging Gemini 3 and the Antigravity environment.

Upon completing this training, participants will be equipped to:

• Construct autonomous workflows that harness Gemini 3 for reasoning, planning, and execution.
• Develop agents within Antigravity that can analyse tasks, generate code, and interact with tools.
• Seamlessly integrate Gemini-driven agents with enterprise systems and APIs.
• Enhance agent behaviour, safety, and reliability in complex operational environments.

Format of the Course

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

Course Customization Options

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

Google Antigravity serves as a sophisticated framework for experimenting with persistent agents and emergent interactive behaviors.

This instructor-led training session, available online or onsite, is designed for advanced professionals aiming to design, analyze, and optimize agents that can retain memories, enhance performance through feedback, and evolve over extended operational periods.

By the end of this course, participants will acquire the skills to:

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

Course Format

• Expert-led discussions coupled with technical demonstrations.
• Hands-on exploration through structured design challenges.
• Application of concepts to simulated agent environments.

Customization Options

• If your organization requires tailored content or case-specific examples, please contact us to customize this training.

Mastra is a framework that enables deep integration between AI agents, APIs, enterprise applications, and external data systems.

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

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

• Implement API-driven integrations connecting 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.

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

This instructor-led live training (available online or onsite) is designed for intermediate to advanced technical practitioners who want to design and deploy AI agents capable of retaining long-term context, performing real-time computations, and interacting directly with web user interfaces.

Upon completing this training, participants will be able 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 to retrieve real-time data and interact with web interfaces.
• Design interactive agents tailored for analytics, customer support, and research applications.

Course Format

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

Customization Options

• For customized training arrangements, please contact us directly.

AgentCore Runtime and Gateway is an AWS service combination designed for packaging, deploying, and securely exposing AI agents, facilitating streamlined integrations with external systems.

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

Upon completion of this training, participants will be capable of:

• Setting up AgentCore Runtime environments and packaging agents for deployment.
• Exposing agents via Gateway using authenticated, rate-limited endpoints.
• Integrating external tools and APIs into agent workflows through stable contracts.
• Implementing observability, logging, and usage monitoring for production operations.

Course Format

• Interactive lectures and discussions.
• Hands-on labs focusing on Runtime deployments and Gateway integrations.
• Practical exercises centred on reliability, security, and release management.

Course Customization Options

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

Antigravity serves as a specialized development platform engineered for creating AI-driven, agent-centric applications.

This instructor-led, live training, available both online and on-site, targets intermediate-level developers aiming to develop practical applications using autonomous AI agents within the Antigravity ecosystem.

Upon completion of this training, participants will be capable of:

• Developing applications that leverage autonomous and coordinated AI agents.
• Utilizing the Antigravity IDE, editor, terminal, and browser for complete end-to-end development.
• Orchestrating multi-agent workflows via the Agent Manager.
• Embedding agent functionalities into robust, production-grade software systems.

Course Format

• A blend of presentations with in-depth technical demonstrations.
• Ample hands-on practice coupled with guided exercises.
• Real-world implementation tasks within the live Antigravity environment.

Customization Options for the Course

• For content tailored to align with your specific development stack, please reach out to us to organize a customized version of this training.

Google Antigravity is an agent-centric development environment crafted to streamline engineering workflows via intelligent automation.

This instructor-led, live training (available online or onsite) targets beginner-level practitioners keen to grasp the fundamentals of Antigravity and comprehend how agent-driven coding environments boost productivity.

Upon completing this training, participants will be equipped to:

• Install and set up Google Antigravity.
• Navigate and grasp both the Editor View and Manager View.
• Collaborate effectively with agents to automate routine development tasks.
• Utilize Antigravity to generate, refine, and manage project files.

Course Format

• Instructor-led explanations backed by real-time demonstrations.
• Guided exercises emphasising hands-on interaction with agents.
• Practical exploration of core Antigravity features within a controlled lab environment.

Customisation Options

• Should you require a bespoke version of this training, please contact us to organise a customised programme.

Google Antigravity serves as a platform for developing agents capable of interacting with web applications, browser environments, and multi-surface workflows.

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

Upon completion of the training, participants will be able to:

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

Format of the Course

• Guided instruction supported by 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 objectives.

AgentCore streamlines the lifecycle of building, optimizing, and overseeing fully managed AI agents by delivering a cohesive suite of services designed for large-scale deployment.

This instructor-led live training, available both online and onsite, targets beginner to intermediate practitioners seeking practical experience in creating production-ready AI agents leveraging AgentCore.

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

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

Course Format

• Interactive lectures and discussions.
• Practical labs utilizing AgentCore services.
• Guided exercises covering the journey from agent concept to deployment.

Course Customization Options

• To arrange a customized training session for this course, please get in touch with us.

This instructor-led live training session, available both online and onsite, targets intermediate software developers and engineering teams aiming to construct scalable and observable AI systems using Mastra.

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

• Grasp Mastra’s architecture and its integration mechanisms with Large Language Models (LLMs) and external APIs.
• Architect and implement AI agents and workflows utilizing TypeScript.
• Leverage Mastra’s observability and memory capabilities to oversee and enhance agent performance.
• Deploy production-grade AI applications by harnessing Mastra’s framework functionalities.

Mastra is a framework that offers 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 behavior, enhance reliability, and implement measurable evaluation processes.

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

• Apply debugging techniques to identify and resolve issues with agent behavior.
• Evaluate agents using structured metrics, benchmarks, and quality scores.
• Implement tooling and workflows to track reliability, drift, and hallucinations.
• Design QA strategies to ensure 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 serves as an operational framework designed to streamline the deployment, scaling, and lifecycle management of AI agents within production environments.

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

Upon completing this training, participants will be able to:

• Deploy Mastra-based AI agents into controlled, production-grade environments.
• Scale agents horizontally and vertically utilizing platform-native primitives.
• Implement observability pipelines to monitor agent behaviour and performance.
• Optimize runtime configurations to minimize latency, costs, and operational risks.

Course Format

• Interactive lectures and discussions.
• Hands-on exercises centered around real-world deployment scenarios.
• Live-lab implementation using containerized and orchestrated environments.

Customization Options

• Customization of topics, hands-on labs, or industry-specific scenarios is available upon request.

Mastra is a framework designed to facilitate advanced workflow automation and coordination among multiple AI agents within distributed systems.

This instructor-led live training, available online or onsite, targets intermediate-level professionals seeking to design, orchestrate, and manage multi-agent workflows at scale.

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

• Architect complex workflows leveraging Mastra’s orchestration features.
• Manage multiple agents executing parallel or dependent tasks.
• Deploy monitoring and debugging tools for workflow execution.
• Enhance orchestration logic for reliability, throughput, and automation efficiency.

Course Format

• Interactive lectures and discussions.
• Practical exercises in workflow design and automation.
• Hands-on implementation within a containerized live-lab environment.

Customization Options

• Custom automation scenarios, enterprise integrations, or workflow patterns can be tailored 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 training session, available either online or on-site, targets intermediate-level professionals seeking to design, manage, and optimize multi-agent workflows within the Google Antigravity environment.

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

• Configuring agent responsibilities and orchestration pipelines via the Manager interface.
• Generating and interpreting Antigravity artifacts, such as task lists, plans, logs, and browser recordings.
• Implementing verification strategies to maintain transparency and auditability of agent actions.
• Optimizing multi-agent collaboration for complex development and operational tasks.

Course Format

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

Course Customization Options

• For a customized version of this course, please reach out to us to discuss specific requirements.

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.