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 prowess of Gemini 3 to plan, reason, code, and execute actions independently.

This professional, live-led training session—available either online or onsite—targets advanced technical professionals seeking to master the design, construction, and deployment of autonomous agents within the Antigravity ecosystem using Gemini 3.

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

• Construct autonomous workflows that harness Gemini 3 for sophisticated reasoning, strategic planning, and task execution.
• Engineer agents within Antigravity capable of analyzing complex tasks, generating code, and interacting seamlessly with various tools.
• Seamlessly integrate Gemini-powered agents into existing enterprise systems and API infrastructures.
• Enhance agent performance, safety protocols, and operational reliability within complex operational environments.

Course Structure

• Expert-led demonstrations interspersed with interactive peer discussions.
• Practical, hands-on experimentation focused on the lifecycle of autonomous agent development.
• Real-world implementation leveraging Antigravity, Gemini 3, and complementary cloud technologies.

Customization Possibilities

• Should your organization require specific domain-oriented agent behaviors or bespoke integrations, please reach out to tailor the curriculum to your exact needs.

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

This instructor-led, live training (available online or onsite) targets advanced-level professionals seeking to design, analyze, and optimize agents that can retain memory, refine performance through feedback, and evolve across extended operational periods.

Upon completing this course, participants will acquire 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 serves as a specialized development platform tailored for creating AI-powered, agent-centric applications.

This interactive, instructor-led training—available both online and onsite—is designed for intermediate-level developers looking to build practical applications using autonomous AI agents within the Antigravity ecosystem.

Upon completing this program, participants will be prepared to:

• Construct applications that leverage autonomous and coordinated AI agents.
• Leverage the Antigravity IDE, editor, terminal, and browser tools for comprehensive end-to-end development.
• Orchestrate complex multi-agent workflows via the Agent Manager.
• Integrate agent capabilities seamlessly into production-grade software architectures.

Course Structure

• A blend of conceptual presentations with detailed, in-depth demonstrations.
• Extensive practical sessions featuring guided exercises and hands-on practice.
• Real-world implementation tasks conducted within the live Antigravity environment.

Customization Possibilities

• For content specifically aligned with your unique development stack, please reach out 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 serves as an agent-centric development environment designed to coordinate, oversee, and synchronize AI-powered coding and automation processes.

This live, instructor-led session (available online or onsite) is tailored for intermediate professionals seeking to architect, administer, and refine multi-agent workflows within the Google Antigravity ecosystem.

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

• Define agent responsibilities and orchestration pipelines via the Manager interface.
• Create and analyze Antigravity artifacts, such as task inventories, strategic plans, logs, and browser session records.
• Deploy verification methods that keep agent behavior transparent and subject to audit.
• Enhance multi-agent collaboration for intricate development and operational objectives.

Course Format

• Structured presentations paired with practical demonstrations.
• Scenario-driven exercises addressing real-world workflow complexities.
• Live experimentation within an active Antigravity workspace.

Customization Options

• For bespoke course requirements, please reach out to explore tailored solutions.

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.