Designing Autonomous Agents for Real-World Applications Training Course

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

This instructor-led live training, available online or onsite, targets advanced technical professionals eager to design, build, and deploy autonomous agents leveraging Gemini 3 and the Antigravity environment.

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-driven agents with enterprise systems and APIs.
• Enhance agent behavior, safety, and reliability in complex operational environments.

Course Format

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

Customization Options

• For teams requiring domain-specific agent behaviors or custom integrations, please reach out to tailor the program to your needs.

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

This instructor-led training session, 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 course completion, participants will acquire the ability to:

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

Course Format

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

Customization Options

• For tailored content or case-specific examples, please contact us to customize this training.

Mastra provides a robust framework for achieving deep integration between AI agents, APIs, enterprise applications, and external data systems.

This instructor-led training, available online or onsite, is designed for intermediate-level engineers seeking to establish reliable, secure, and scalable connections between Mastra agents and the broader enterprise ecosystem.

Upon completing this training, participants will be equipped to:

• Execute API-driven integrations connecting Mastra agents with external services.
• Link enterprise data systems and tools to automated agent workflows.
• Implement best practices for secure data exchange and authentication.
• Architect integration layers that are scalable, maintainable, and ready for production.

Course Format

• Interactive lectures and discussions.
• Practical integration engineering and API exercises.
• Live-lab implementations utilizing real-world enterprise scenarios.

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 deliver interactive, dynamic, and context-aware experiences.

This instructor-led live training (available online or onsite) targets intermediate to advanced technical professionals aiming to design and deploy AI agents capable of long-term context retention, real-time computation, and direct interaction with web user interfaces.

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

• Implement AgentCore memory for stateful, context-aware workflows.
• Leverage the secure code interpreter for dynamic calculations and transformations.
• Integrate the browser tool for real-time data retrieval and UI interaction.
• Design interactive agents for analytics, customer support, and research use cases.

Course Format

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

Course Customization Options

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

AgentCore Runtime & Gateway provides a complementary pair of AWS services designed to streamline the packaging, deployment, and secure exposure of AI agents, featuring simplified integrations with external systems.

This instructor-led live training, available both online and onsite, targets intermediate-level engineering teams aiming to transition their agents from prototype stages to production. Participants will gain expertise in using the AgentCore Runtime for deployment and the Gateway for secure connectivity and API integration.

Upon completing this training, participants will be able to:

• Provision AgentCore Runtime environments and package agents for deployment.
• Expose agents via the 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 deployment strategies.

Customization Options

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

Antigravity serves as a specialized development platform designed for constructing AI-driven applications with an agent-first approach.

This instructor-led training, available either online or onsite, targets intermediate-level developers looking to build practical applications using autonomous AI agents within the Antigravity ecosystem.

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

• Develop applications that depend on coordinated and autonomous AI agents.
• Utilize the Antigravity IDE, editor, terminal, and browser for complete end-to-end development workflows.
• Orchestrate multi-agent workflows using the Agent Manager.
• Integrate agent functionalities into robust, production-grade software systems.

Course Format

• A combination of presentations and detailed live demonstrations.
• Ample hands-on practice accompanied by guided exercises.
• Practical implementation work conducted directly within the live Antigravity environment.

Customization Options

• For tailored content that aligns with your specific development stack, please contact us to arrange a customized version of this training.

Google Antigravity is an agent-centric development platform engineered to optimize engineering processes via intelligent automation.

This instructor-led, live training (available online or onsite) targets beginners eager to grasp the fundamentals of Antigravity and learn how agent-powered coding environments boost productivity.

After completing this training, participants will be capable of:

• Installing and setting up Google Antigravity.
• Navigating and comprehending both the Editor View and Manager View.
• Collaborating effectively with agents to automate basic development tasks.
• Leveraging Antigravity to create, refine, and oversee project files.

Course Format

• Instructor-led explanations accompanied by live demonstrations.
• Guided exercises emphasizing hands-on interaction with agents.
• Practical exploration of essential Antigravity features within a controlled lab setting.

Customization Options

• Should you need a bespoke version of this training, please reach out to us to organize a tailored program.

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

This instructor-led live training (available online or onsite) targets intermediate professionals seeking to construct, automate, and validate browser-based workflows using Google Antigravity.

Upon completing the training, participants will be equipped to:

• Develop agents capable of interacting with web applications within a browser interface.
• Automate end-to-end workflows spanning various browser contexts.
• Validate and resolve issues related to agent behavior in UI-driven settings.
• Deploy cross-platform automation strategies leveraging Antigravity.

Course Format

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

Customization Options

• For tailored training solutions aligned with your specific objectives, please reach out to us.

AgentCore streamlines the development, enhancement, and oversight of fully managed AI agents by offering a comprehensive suite of services designed for large-scale deployment.

This instructor-led, live training session (available online or onsite) is designed for beginner to intermediate practitioners seeking hands-on experience in creating production-ready AI agents using AgentCore.

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

• Grasp the fundamental capabilities of AgentCore for AI agent development.
• Design and configure straightforward AI agents utilizing managed services.
• Integrate workflows to augment agent functionality.
• Deploy and monitor AI agents effectively within production environments.

Course Format

• Interactive lectures and discussions.
• Practical labs involving AgentCore services.
• Guided exercises covering the entire lifecycle from agent concept to deployment.

Customization Options

• To request a customized version of this course, please contact us to arrange your needs.

This instructor-led, live training (available online or on-site) targets intermediate-level software developers and engineering teams seeking to construct scalable, observable AI systems using Mastra.

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

• Grasping Mastra’s architecture and its integration with LLMs and external APIs.
• Designing and implementing AI agents and workflows using TypeScript.
• Leveraging Mastra’s observability and memory tools to monitor and enhance agent performance.
• Deploying production-grade AI applications by utilizing 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 serves as an operational framework aimed at streamlining the deployment, scaling, and lifecycle management of AI agents within production environments.

This instructor-led live training, available either online or onsite, is designed for intermediate to advanced technical professionals who need 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 both horizontally and vertically by leveraging platform-native primitives.
• Establish observability pipelines to monitor agent behavior 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 within containerized and orchestrated environments.

Customization Options

• Topics, hands-on labs, or industry-specific scenarios can be customized upon request.

Mastra is a framework designed to enable sophisticated workflow automation and coordination across multiple AI agents operating within distributed systems.

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

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

• Design complex workflows leveraging Mastra’s orchestration capabilities.
• Coordinate multiple agents executing 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 lecture and discussion.
• 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 instructor-led live training, available both online and onsite, targets intermediate-level professionals aiming to design, manage, and optimize multi-agent workflows within the Google Antigravity ecosystem.

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

• Configure agent responsibilities and orchestration pipelines using the Manager interface.
• Generate and interpret Antigravity artifacts, including 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 coupled with practical demonstrations.
• Scenario-based exercises focused on real-world workflow challenges.
• Hands-on experimentation within a live Antigravity workspace.

Course Customization Options

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

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.