Building AI Agents with OpenAI APIs Training Course

Google Antigravity serves as a specialized agentic development environment, engineered to create autonomous agents that leverage the multimodal capabilities of Gemini 3 to plan, reason, code, and execute actions.

This instructor-led live training, available either online or onsite, is tailored for advanced technical professionals seeking to design, build, and deploy autonomous agents utilizing Gemini 3 within the Antigravity ecosystem.

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

• Construct autonomous workflows that harness Gemini 3 for reasoning, strategic planning, and execution.
• Develop agents within Antigravity capable of analyzing tasks, generating code, and interacting with various tools.
• Integrate Gemini-driven agents seamlessly with enterprise systems and APIs.
• Enhance agent behavior, safety, and reliability within complex operational environments.

Course Format

• Expert-led demonstrations interspersed with interactive discussions.
• Hands-on opportunities to experiment with autonomous agent development.
• Practical implementation exercises using Antigravity, Gemini 3, and supporting cloud technologies.

Customization Options

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

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

This instructor-led, live training session, available either online or onsite, is designed for advanced-level professionals looking to design, analyze, and optimize agents that can retain memories, refine themselves through feedback, and evolve over extended operational periods.

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

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

Course Format

• Expert-led discussions accompanied by technical demonstrations.
• Hands-on exploration through structured design challenges.
• Application of concepts within 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 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 broader enterprise ecosystem.

Upon completing this training, participants will be equipped to:

• Implement API-driven integrations between Mastra agents and external services.
• Connect enterprise data systems and tools to automated agent workflows.
• Apply secure data exchange and authentication best practices.
• 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 equips AI agents with memory persistence, a secure code interpreter, and a browser tool, empowering them to deliver interactive, dynamic, and context-aware experiences.

This live, instructor-led training (available online or onsite) is designed for intermediate to advanced technical practitioners aiming to build and deploy AI agents that retain long-term context, perform real-time calculations, and engage directly with web interfaces.

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

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

Course Format

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

Customization Options

• For customized training tailored to your specific needs, please reach out to arrange a session.

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

• 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 serves as a dedicated development platform engineered for the creation of AI-powered, agent-centric applications.

This instructor-led, live training session—available either online or on-site—is tailored for intermediate-level developers looking to construct practical applications that leverage autonomous AI agents within the Antigravity ecosystem.

Upon completing this training, participants will be empowered to:

• Build applications that depend on autonomous and coordinated AI agents.
• Leverage the Antigravity IDE, editor, terminal, and browser for comprehensive end-to-end development.
• Orchestrate multi-agent workflows effectively using the Agent Manager.
• Embed agent capabilities into robust, production-grade software systems.

Course Format

• A blend of presentations featuring in-depth technical demonstrations.
• Extensive hands-on practice sessions paired with guided exercises.
• Practical implementation work conducted directly within the live Antigravity environment.

Customization Opportunities

• For content specifically aligned with your unique development stack, please contact us to discuss arranging a customized version of this training.

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

This instructor-led session, available both online and on-site, is tailored for entry-level professionals looking to delve into the core principles of Antigravity and grasp how agent-powered coding environments boost productivity.

By the end of this session, attendees will be equipped to:

• Set up and configure Google Antigravity.
• Navigate and comprehend both the Editor and Manager views.
• Collaborate effectively with agents to automate basic development tasks.
• Leverage Antigravity to create, adjust, and oversee project files.

Delivery Method

• Expert-led walkthroughs accompanied by live demonstrations.
• Structured activities emphasizing practical agent usage.
• Hands-on investigation of key Antigravity capabilities within a secure lab setting.

Customization Possibilities

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

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

This instructor-led session, available both online and on-site, is tailored for intermediate professionals looking to build, automate, and validate browser-based processes using Google Antigravity.

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

• Develop agents that engage with web applications within a browser surface.
• Streamline end-to-end workflows spanning various browser contexts.
• Verify and resolve agent behavior in UI-centric environments.
• Apply cross-surface automation strategies leveraging Antigravity.

Course Structure

• Facilitated instruction complemented by live demonstrations.
• Hands-on practical tasks and scenario-driven exercises.
• Deployment of agent workflows within an interactive lab setting.

Customization Options

• To align the training with your specific objectives, please reach out to us for tailored course modifications.

AgentCore streamlines the creation, improvement, and oversight of fully managed AI agents by offering a cohesive suite of services designed for large-scale deployment.

This live, instructor-led training (available online or onsite) is tailored for beginners to intermediate practitioners seeking practical experience in building production-ready AI agents using AgentCore.

Upon completion, participants will be equipped to:

• Grasp the fundamental capabilities of AgentCore in AI agent development.
• Architect and set up basic AI agents leveraging managed services.
• Integrate workflows to augment agent performance.
• Launch and oversee AI agents in live production settings.

Training Format

• Engaging sessions combining lectures and discussions.
• Practical labs utilizing AgentCore services.
• Structured exercises guiding the journey from concept to release.

Customization Options

• To explore a tailored version of this training, please reach out to us to discuss requirements.

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

By the end of the program, participants will be capable of:

• Understanding 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 optimize agent performance.
• Deploying production-ready AI applications using Mastra’s framework features.

Mastra serves as a framework offering 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 behaviour, 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 rectify issues with agent behaviour.
• Evaluate agents using structured metrics, benchmarks, and quality scores.
• Implement tooling and workflows that monitor reliability, drift, and hallucinations.
• Design QA strategies that guarantee consistent and predictable agent performance.

Course Format

• Interactive lectures and discussions.
• Hands-on exercises focused on debugging and evaluation.
• Live-lab analysis of agent behaviours using observability tools.

Course Customization Options

• Customised reliability testing scenarios and industry-specific QA methods can be arranged upon request.

Mastra serves as an operational framework intended to streamline the deployment, scaling, and lifecycle management of AI agents within production environments.

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

Upon completing this training, participants will be able to:

• Deploy AI agents built on Mastra into controlled, production-grade environments.
• Scale agents both horizontally and vertically by leveraging platform-native primitives.
• Establish observability pipelines to monitor agent behaviour and performance.
• Fine-tune runtime configurations to minimize latency, costs, and operational risks.

Course Format

• Interactive lectures and discussions.
• Practical exercises centred on real-world deployment scenarios.
• Live laboratory implementation utilizing containerized and orchestrated environments.

Course Customization Options

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

Mastra serves as a framework that facilitates sophisticated workflow automation and coordination among multiple AI agents within distributed systems.

This instructor-led live training, available both online and onsite, is designed for intermediate-level practitioners aiming to design, orchestrate, and manage multi-agent workflows at scale.

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

• Design complex workflows leveraging Mastra’s orchestration capabilities.
• Coordinate multiple agents performing 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 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 functions as an agent-focused development ecosystem designed for the supervision, coordination, and orchestration of AI-powered coding and automation processes.

This live, instructor-guided session—available online or onsite—is tailored for intermediate professionals seeking to refine, administer, and enhance multi-agent workflows within the Google Antigravity environment.

By the end of this program, participants will possess the capabilities to:

• Structure agent duties and orchestration pipelines using the Manager interface.
• Create and analyze Antigravity artifacts, such as task inventories, strategic plans, logs, and browser session recordings.
• Apply validation methods that keep agent actions clear, transparent, and audit-ready.
• Enhance multi-agent synergy to tackle complex development and operational challenges.

Course Structure

• Interactive presentations paired with practical demonstrations.
• Exercise modules centered on realistic workflow scenarios.
• Direct, hands-on practice within an active Antigravity workspace.

Customization Opportunities

• For a tailored training experience, please reach out to explore available customization options.

Antigravity is a framework designed to facilitate advanced agent-driven development workflows.

This live, instructor-led training session, available both online and on-site, targets intermediate to advanced professionals seeking to verify, validate, and secure the outputs generated by AI agents operating within Antigravity-driven environments.

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

• Evaluate the precision and safety of code artifacts produced by agents.
• Employ structured methodologies to verify tasks executed by agents.
• Effectively analyze browser recordings and trace agent activity.
• Implement QA and security principles to guarantee the reliability of agent workflows.

Course Structure

• Instructor-led technical briefings and collaborative discussions.
• Practical exercises centered on verifying live agent workflows.
• Hands-on testing and validation conducted within a controlled lab setting.

Customization Opportunities

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