Building AI Agents with OpenAI APIs Training Course

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

Designed for advanced technical professionals, this instructor-led live training—available online or onsite—focuses on the design, construction, and deployment of autonomous agents utilizing Gemini 3 within the Antigravity ecosystem.

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

• Construct autonomous workflows that leverage 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 with enterprise systems and external APIs.
• Enhance agent behavior, safety protocols, and reliability within complex operational environments.

Course Format

• Interactive discussions paired with expert-led demonstrations.
• Practical experimentation focused on autonomous agent development.
• Real-world implementation using Antigravity, Gemini 3, and complementary cloud tools.

Customization Options

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

Google Antigravity serves as a sophisticated framework for exploring long-lived agents and the emergent interactive behaviors they exhibit.

This instructor-led, live training session, available online or on-site, is designed for advanced professionals seeking to design, analyze, and optimize agents that can retain memory, improve via feedback, and evolve over extended operational periods.

By the end of this course, participants will be equipped with the following capabilities:

• Designing long-term memory structures to ensure agent persistence.
• Implementing effective feedback loops to guide agent behavior.
• Evaluating learning trajectories and identifying model drift.
• Integrating memory mechanisms within 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 specific case studies, please contact us to customize this training.

Mastra serves as a framework facilitating deep integration between AI agents, APIs, enterprise applications, and external data systems.

This instructor-led live training, available both online and onsite, is designed for intermediate-level engineers aiming to construct 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 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.

Course Format

• Interactive lectures and discussions.
• Hands-on integration engineering and API exercises.
• Live lab implementation using real-world enterprise scenarios.

Customization Options

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

AgentCore empowers 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 live, instructor-led training—available both online and onsite—targets intermediate to advanced technical professionals seeking to design 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 to enable stateful, context-aware workflows.
• Utilize the secure code interpreter for dynamic data transformations and calculations.
• Integrate the browser tool for real-time data retrieval and seamless UI interaction.
• Architect interactive agents tailored for analytics, customer support, and research applications.

Course Format

• Engaging lectures and facilitated discussions.
• Practical lab exercises focusing on AgentCore memory and tools.
• Analysis of case studies in analytics, automation, and customer support.

Customization Options

• Contact us to discuss arranging a customized version of this training.

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

This instructor-led, live training (available online or onsite) is tailored for intermediate-level engineering teams looking to transition from agent prototypes to production. Participants will gain mastery over the AgentCore Runtime for deployment purposes and the Gateway for establishing secure connectivity and API integrations.

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

• Deploy AgentCore Runtime environments and package agents for production deployment.
• Expose agents via the Gateway using authenticated, rate-limited endpoints.
• Integrate external tools and APIs into agent workflows through stable contracts.
• Implement observability, logging, and usage monitoring for effective production operations.

Course Format

• Interactive lectures and discussions.
• Practical labs focusing on Runtime deployments and Gateway integrations.
• Hands-on exercises centered on reliability, security, and deployment strategies.

Course Customization Options

• For customized training requests for this course, please contact us to make arrangements.

Antigravity serves as a specialized development platform engineered for constructing AI-powered, agent-centric applications.

Delivered by an instructor either online or on-site, this live training is tailored for intermediate developers looking to build practical applications utilizing autonomous AI agents within the Antigravity ecosystem.

Upon completion, participants will possess the ability to:

• Create applications that leverage autonomous and coordinated AI agents.
• Utilize the Antigravity IDE, editor, terminal, and browser for complete end-to-end development cycles.
• Oversee multi-agent workflows using the Agent Manager.
• Incorporate agent capabilities into robust, production-grade software architectures.

Course Format

• A blend of theoretical presentations with detailed demonstrations.
• Comprehensive hands-on practice supported by guided exercises.
• Practical implementation tasks performed within the live Antigravity environment.

Customization Options

• Contact us to arrange a customized training version that aligns with your specific development stack.

Google Antigravity represents a new paradigm in software development, offering an agent-centric environment engineered to optimize workflows via intelligent automation.

Delivered as a live, instructor-led session (available online or onsite), this course is tailored for entry-level professionals eager to grasp the basics of Antigravity and discover how agent-powered coding can boost efficiency.

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

• Set up and configure Google Antigravity.
• Master navigation through both the Editor View and Manager View.
• Collaborate with agents to streamline basic development tasks.
• Leverage Antigravity for generating, polishing, and organizing project files.

Course Delivery Style

• Expert-led explanations complemented by live demonstrations.
• Structured exercises emphasizing practical agent usage.
• A controlled lab setting for exploring key Antigravity capabilities.

Customization Possibilities

• For a tailored training program suited to your specific needs, please reach out to arrange a custom solution.

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

This live, instructor-led training, available either online or onsite, is tailored for intermediate-level professionals looking to build, automate, and test browser-based workflows using Google Antigravity.

By the end of the course, participants will have the ability to:

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

Course Format

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

Customization Options

• Please contact us to discuss your specific training needs, allowing us to tailor the course to align with your objectives.

AgentCore streamlines the creation, refinement, and supervision of fully managed AI agents through a cohesive suite of services designed for large-scale deployment.

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

Upon completing this training, participants will be equipped to:

• Grasp the fundamental capabilities of AgentCore in the context of AI agent development.
• Architect and configure basic AI agents leveraging managed services.
• Incorporate workflows to bolster agent functionality.
• Deploy and oversee AI agents within production environments.

Course Structure

• Engaging lectures and discussions.
• Practical labs utilizing AgentCore services.
• Guided exercises covering the journey from agent concept to deployment.

Customization Availability

• To request a customized version of this training, please reach out to us to make arrangements.

This live, instructor-led training, available online or on-site, is designed for intermediate-level software developers and engineering teams looking to build scalable and observable AI systems with Mastra.

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

• Understand Mastra’s architecture and its integration with LLMs and external APIs.
• Design and implement AI agents and workflows using TypeScript.
• Utilize Mastra’s observability and memory tools to monitor and improve agent performance.
• Deploy production-ready AI applications leveraging Mastra’s framework features.

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-level technical professionals who require reliable and efficient methods to 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 behaviour and performance.
• Fine-tune runtime configurations to minimize latency, reduce costs, and mitigate operational risks.

Course Format

• Interactive lectures and discussions.
• Practical exercises centered on real-world deployment scenarios.
• Live-lab implementation utilizing 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 facilitate advanced workflow automation and coordination among multiple AI agents within distributed systems.

This instructor-led live training, available online or onsite, is intended for intermediate-level professionals aiming to design, orchestrate, and manage large-scale multi-agent workflows.

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

• Design complex workflows utilizing Mastra’s orchestration features.
• 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.

Course Format

• Interactive lectures and discussions.
• Hands-on exercises in workflow design and automation.
• Practical implementation within a containerized live-lab environment.

Course Customization Options

• Custom automation scenarios, enterprise integrations, or workflow patterns can be provided upon request.

Google Antigravity serves as an agent-centric development platform designed to orchestrate, oversee, and coordinate AI-driven coding and automation workflows.

This instructor-led live training, available online or on-site, is tailored for intermediate-level professionals seeking to design, manage, and refine multi-agent workflows within the Google Antigravity ecosystem.

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

• Set up agent responsibilities and orchestration pipelines using the Manager interface.
• Create and analyze Antigravity artifacts, such as task lists, execution plans, logs, and browser recordings.
• Apply verification methods to ensure that agent actions are transparent and subject to audit.
• Enhance multi-agent collaboration for complex development and operational objectives.

Course Delivery Format

• Structured presentations accompanied by practical demonstrations.
• Scenario-driven exercises addressing real-world workflow challenges.
• Practical experimentation within a live Antigravity workspace.

Customization Availability

• Should you require a customized version of this curriculum, please reach out to us to explore tailored options.

Antigravity serves as a framework for sophisticated, agent-centric development processes.

This instructor-led training, available either online or onsite, is designed for intermediate to advanced professionals seeking to verify, validate, and secure code outputs generated by AI agents within Antigravity environments.

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

• Evaluate the precision and security of code artifacts created by agents.
• Employ structured methodologies to confirm the successful execution of agent tasks.
• Examine browser recordings and track agent activity with effectiveness.
• Implement QA and security standards to guarantee the dependability of agent workflows.

Training Format

• Instructor-led technical sessions and collaborative discussions.
• Practical exercises centered on verifying actual agent workflows.
• Hands-on testing and validation within a controlled laboratory setting.

Customization Options

• Tailoring of scenarios, workflows, and testing examples can be arranged upon request.