Practical Development with Pi Coding Agent Training Course

Google Antigravity serves as an agentic development environment, enabling the creation of autonomous agents that can plan, reason, code, and execute actions through the multimodal capabilities of Gemini 3.

This instructor-led live training, available online or onsite, is designed for advanced technical professionals who want to design, build, and deploy autonomous agents using Gemini 3 within the Antigravity environment.

Upon completing this training, participants will be equipped to:

• Create autonomous workflows that leverage Gemini 3 for reasoning, planning, and execution.
• Develop agents in Antigravity capable of analyzing tasks, writing code, and interacting with various tools.
• Integrate agents powered by Gemini into 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 supporting cloud tools.

Customization Options

• For teams requiring domain-specific agent behaviors or custom integrations, please contact us to tailor the program.

Google Antigravity is an advanced framework for experimentation with long-lived agents and emergent interactive behaviors.

This instructor-led, live training (online or onsite) is aimed at advanced-level professionals who wish to design, analyze, and optimize agents capable of retaining memories, improving through feedback, and evolving over long operational horizons.

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

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

Format of the Course

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

Course Customization Options

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

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 wider enterprise ecosystem.

Upon completing 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 use.

Course Format

• Interactive lectures and discussions.
• Hands-on engineering exercises involving integrations and APIs.
• Live laboratory implementation using real-world enterprise scenarios.

Course Customization Options

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

AgentCore empowers AI agents to create dynamic, interactive, and context-aware experiences by offering memory persistence, a secure code interpreter, and a browser tool.

This live, instructor-led training (available online or onsite) is designed for technical practitioners at intermediate to advanced levels who aim to build and deploy AI agents that retain long-term context, perform on-the-fly calculations, and interact directly with web interfaces.

Upon completion, participants will be equipped to:

• Implement AgentCore memory for workflows that are stateful and context-aware.
• Utilize the secure code interpreter for performing dynamic calculations and data transformations.
• Integrate the browser tool to facilitate real-time data retrieval and UI interactions.
• Design interactive agents for applications in analytics, customer support, and research.

Course Format

• Engaging lectures and open discussions.
• Practical lab exercises utilizing AgentCore memory and tools.
• Case studies focusing on analytics, automation, and customer support scenarios.

Course Customization

• Contact us to arrange a customized training session for this course.

AgentCore Runtime & Gateway serves as a paired AWS service designed to streamline the packaging, deployment, and secure exposure of AI agents, facilitating seamless integration with external systems.

This instructor-led training session, available online or onsite, targets intermediate-level engineering teams aiming to transition their agent prototypes into production. The curriculum focuses on mastering the AgentCore Runtime for deployment and the Gateway for secure connectivity and API integration.

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

• Establishing AgentCore Runtime environments and packaging agents for deployment.
• Exposing agents via the Gateway using authenticated endpoints with rate limiting.
• Integrating external tools and APIs into agent workflows through stable contracts.
• Implementing observability, logging, and usage monitoring essential for production operations.

Course Format

• Interactive lectures and discussions.
• Practical labs featuring Runtime deployments and Gateway integrations.
• Targeted exercises emphasizing reliability, security, and deployment strategies.

Customization Options

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

Antigravity serves as a development platform specifically designed to create AI-driven, agent-first applications.

This instructor-led live training, available both online and onsite, targets intermediate developers aiming to build real-world applications leveraging autonomous AI agents within the Antigravity ecosystem.

Upon completing this training, participants will be able to:

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

Course Format

• A blend of presentations and in-depth practical demonstrations.
• Extensive hands-on practice accompanied by guided exercises.
• Real-world implementation tasks conducted within the live Antigravity environment.

Course Customization Options

• For content tailored to align with your specific development stack, please contact us to arrange a customized training session.

Google Antigravity serves as an agent-first development environment, engineered to optimize engineering workflows by leveraging intelligent automation.

This live, instructor-led training session, available both online and onsite, is tailored for entry-level practitioners eager to explore the core principles of Antigravity and comprehend how agent-driven coding environments can boost productivity.

By the end of this training, participants will have the capability to:

• Install and properly configure Google Antigravity.
• Navigate and grasp the functionalities of both the Editor View and Manager View.
• Collaborate effectively with agents to automate routine development tasks.
• Utilize Antigravity for generating, refining, and managing project files.

Course Format

• Instructor-led explanations complemented by real-time live demonstrations.
• Structured exercises emphasizing the practical application of agents.
• Hands-on exploration of essential Antigravity features within a controlled lab setting.

Customization Options

• Should you need a customized version of this training, please reach out to arrange a tailored program.

Google Antigravity serves as a robust platform for developing agents that interact seamlessly with web applications, browser environments, and complex multi-surface workflows.

Designed for intermediate-level professionals, this instructor-led live training (available online or onsite) focuses on building, automating, and testing browser-based workflows using Google Antigravity.

Upon completion, participants will be equipped to:

• Develop agents that effectively interact with web applications within browser surfaces.
• Streamline end-to-end workflows across various browser contexts.
• Validate and resolve agent behavior issues in UI-driven environments.
• Deploy cross-surface automation strategies leveraging Antigravity.

Course Format

• Structured guidance backed by practical demonstrations.
• Hands-on activities and scenario-based exercises for real-world application.
• Implementation of agent workflows within an interactive lab setting.

Customization Options

• Contact us to tailor the curriculum to your specific training objectives and requirements.

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

This instructor-led live training, available online or on-site, is designed for practitioners ranging from beginners to intermediates who seek practical experience in building production-ready AI agents using AgentCore.

Upon completing this training, participants will be equipped to:

• Grasp the fundamental capabilities of AgentCore in AI agent development.
• Architect and set up simple AI agents utilizing managed services.
• Incorporate workflows to augment agent functionality.
• Release and oversee AI agents within production environments.

Course Format

• Engaging lectures and interactive discussions.
• Practical labs focused on AgentCore services.
• Structured exercises guiding the journey from concept to deployment.

Customization Options

• For tailored training requests regarding this course, please reach out to us to coordinate the arrangement.

This live, instructor-led training, offered online or onsite, is designed for intermediate-level developers and engineering teams looking to build scalable, observable AI systems using Mastra.

By the end of the session, learners will be able to:

• Understand Mastra's architecture and how it connects with LLMs and external APIs.
• Design and build AI agents and workflows in TypeScript.
• Utilize Mastra's observability and memory tools to track and optimize agent performance.
• Deploy production-ready AI applications using Mastra's framework features.

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) targets intermediate-level practitioners who want to rigorously test agent behavior, 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 resolve 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.

Course Format

• Interactive lectures and discussions.
• 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. <\/p>

This instructor-led training session (available online or onsite) targets intermediate-level practitioners who aim to design, orchestrate, and manage multi-agent workflows at scale. <\/p>

Upon completion of this training, participants will acquire the ability to: <\/p>

• Design complex workflows utilizing Mastra’s orchestration capabilities. <\/li>
• Coordinate multiple agents executing parallel or dependent tasks. <\/li>
• Deploy monitoring and debugging tools for efficient workflow execution. <\/li>
• Optimize orchestration logic to enhance reliability, throughput, and automation efficiency. <\/li> <\/ul>

  Course Format <\/p>

  • Interactive lectures and discussions. <\/li>
  • Hands-on exercises focused on workflow design and automation. <\/li>
  • Practical implementation within a containerized live-lab environment. <\/li> <\/ul>

    Customization Options <\/p>

    • Custom automation scenarios, enterprise integrations, or workflow patterns can be tailored upon request. <\/li> <\/ul>

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 designed to support advanced agent-driven development workflows.

This live, instructor-led training, available online or onsite, is tailored for intermediate to advanced professionals aiming to verify, validate, and secure the output generated by AI agents within Antigravity-driven environments.

By the end of this program, participants will be equipped to:

• Evaluate the accuracy and safety of code artifacts created by agents.
• Employ structured methods to verify tasks executed by agents.
• Analyze browser recordings and trace agent activity with precision.
• Implement QA and security principles to guarantee the reliability of agent workflows.

Course Format

• Instructor-led technical briefings and interactive discussions.
• Practical exercises centered on verifying real-world agent workflows.
• Hands-on testing and validation conducted in a controlled lab environment.

Customization Options

• Scenarios, workflows, and testing examples can be adapted to specific needs upon request.