Practical Development with Pi Coding Agent Training Course

Google Antigravity serves as an agentic development environment tailored for constructing autonomous agents that can plan, reason, code, and execute actions utilizing Gemini 3’s multimodal capabilities.

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

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

• Construct autonomous workflows leveraging Gemini 3 for reasoning, planning, and execution.
• Develop agents within Antigravity capable of analyzing tasks, writing code, and interacting with external tools.
• Integrate Gemini-driven agents into enterprise systems and APIs.
• Optimize agent behavior, ensuring safety and reliability in complex operational environments.

Format of the Course also allows for the evaluation of participants.

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

Course Customization Options

• If your team requires 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 also allows for the evaluation of participants.

• 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, is tailored for intermediate-level engineers who aim 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:

• Implement API-driven integrations linking Mastra agents with external services.
• Connect 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 deployment.

Format of the Course also allows for the evaluation of participants.

• Interactive lectures and discussions.
• Hands-on exercises in integration engineering and API development.
• Live-lab implementation based on 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, allowing them to deliver highly 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 retaining long-term context, performing on-the-fly calculations, and engaging directly with web UIs.

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

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

Course Format

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

Course Customization

• To request a customized training experience for this course, please contact us to make the necessary arrangements.

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 also allows for the evaluation of participants.

• 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 also allows for the evaluation of participants.

• 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 represents an agent-first development environment crafted to optimize engineering processes via intelligent automation.

This live, instructor-led session, available either online or on-site, is tailored for entry-level professionals seeking to delve into the core principles of Antigravity and grasp how agent-driven coding environments boost efficiency.

By the end of this program, attendees will have the ability to:

• Set up and configure Google Antigravity.
• Explore and interpret the features of both the Editor View and Manager View.
• Collaborate seamlessly with agents to streamline basic development tasks.
• Leverage Antigravity to create, refine, and oversee project files.

Course Delivery Structure

• Facilitated explanations accompanied by live demonstrations.
• Supervised practical exercises centered on utilizing agents.
• Hands-on investigation of key Antigravity capabilities within a supervised lab setting.

Customization Possibilities

• Should you need a specialized version of this curriculum, please reach out to discuss a bespoke program.

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

This instructor-led training, available both online and onsite, is designed for intermediate-level professionals seeking to construct, automate, and rigorously test browser-based processes using Google Antigravity.

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

• Develop agents that engage with web applications within the browser surface.
• Streamline end-to-end workflows across various browser contexts.
• Effectively validate and troubleshoot agent performance in UI-centric environments.
• Deploy cross-surface automation strategies leveraging Antigravity.

Course Structure

• Expert-led instruction enhanced by live demonstrations.
• Hands-on practical activities and scenario-driven exercises.
• Building and testing agent workflows within an interactive lab setting.

Customization

• For bespoke training needs, please reach out to us to customize the curriculum to align with your specific business objectives.

AgentCore streamlines the creation, optimization, and monitoring of fully managed AI agents by offering a comprehensive suite of services designed for scalable deployment.

This live, instructor-led session, available either online or onsite, is tailored for practitioners ranging from beginners to intermediate levels who seek to gain practical experience in building production-grade AI agents using AgentCore.

Upon completing this training, participants will be equipped to:

• Grasp the fundamental capabilities of AgentCore in AI agent development.
• Design and configure basic AI agents leveraging managed services.
• Incorporate workflows to extend agent functionalities.
• Deploy and oversee AI agents in production environments.

Course Delivery Format

• Engaging lectures paired with open discussions.
• Practical labs focused on AgentCore services.
• Guided exercises covering the journey from agent conception to deployment.

Customization Possibilities

• Interested in a tailored training experience for this course? Please reach out to us to make arrangements.

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

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

• Grasp Mastra’s architecture and its integration capabilities with LLMs and third-party APIs.
• Architect and build AI agents and workflows using TypeScript.
• Leverage Mastra’s observability and memory tools to track and enhance agent performance.
• Ship production-grade AI applications by utilizing Mastra’s framework capabilities.

Mastra is a framework that offers structured tools designed to evaluate, debug, and ensure the reliability of AI agents operating within complex workflows.

This instructor-led training, available online or onsite, targets intermediate practitioners who aim to rigorously test agent behavior, enhance reliability, and establish measurable evaluation processes.

Upon completion, participants will be able to confidently:

• Utilize debugging techniques to identify and rectify issues with agent behavior.
• Assess agents through structured metrics, benchmarks, and quality scores.
• Deploy tools and workflows to monitor reliability, drift, and hallucinations.
• Develop QA strategies that guarantee consistent and predictable agent performance.

Course Format

• Interactive lectures and discussions.
• Practical debugging and evaluation exercises.
• 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 is an operational framework engineered 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 need to operationalize AI agents reliably and efficiently across their production systems.

Upon completing this training, participants will be capable of:

• Deploying Mastra-based AI agents into controlled, production-grade environments.
• Scaling agents both horizontally and vertically by leveraging platform-native primitives.
• Establishing observability pipelines to monitor agent behavior and performance metrics.
• Optimizing runtime configurations to minimize latency, costs, and operational risks.

Course Format

• Interactive lectures and discussions.
• Hands-on exercises centered on real-world deployment scenarios.
• Live-lab implementation utilizing 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 practitioners aiming to design, orchestrate, and manage multi-agent workflows at scale.

Upon completion, participants will acquire the ability to:

• Design complex workflows leveraging Mastra’s orchestration capabilities.
• Coordinate multiple agents to perform 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 exercises in workflow design and automation.
• Practical implementation within a containerized, live-lab environment.

Customization Options

• Customized 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 also allows for the evaluation of participants.

• 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 development workflows driven by autonomous agents.

This instructor-led session, available online or onsite, is tailored for intermediate to advanced professionals seeking to verify, validate, and secure the outputs generated by AI agents operating within Antigravity environments.

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

• Evaluate the precision and safety of code artifacts created by agents.
• Implement structured methodologies to confirm the execution of agent tasks.
• Analyze browser recordings and effectively trace agent activities.
• Integrate QA and security best practices to guarantee the reliability of agent workflows.

Course Format

• Instructor-led technical briefings and collaborative discussions.
• Practical exercises dedicated to verifying real-world agent workflows.
• Hands-on testing and validation performed within a controlled laboratory setting.

Customization Options

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