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 strengths of Gemini 3 for comprehensive planning, reasoning, coding, and execution.

This live, instructor-led training—available either online or onsite—targets advanced technical professionals seeking to design, construct, and deploy autonomous agents using the Antigravity environment and Gemini 3 capabilities.

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

• Construct autonomous workflows that utilize 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 external tools.
• Seamlessly integrate Gemini-driven agents into existing enterprise systems and API architectures.
• Enhance agent reliability, safety, and performance within complex operational environments.

Course Format

• Expert-led demonstrations paired with interactive discussions to deepen understanding.
• Hands-on sessions focused on the practical development of autonomous agents.
• Practical implementation exercises utilizing Antigravity, Gemini 3, and complementary cloud-based tools.

Customization Options

• If your organization requires specialized agent behaviors or unique integrations, reach out to us to tailor the curriculum to your specific needs.

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

This instructor-led live training, available online or onsite, is tailored for advanced professionals seeking to design, analyze, and optimize agents that can retain memories, refine their performance through feedback, and evolve over extended operational periods.

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

• Architect long-term memory structures to ensure agent persistence.
• Deploy effective feedback loops that direct agent behavior.
• Assess learning trajectories and identify model drift.
• Incorporate memory mechanisms into intricate multi-agent ecosystems.

Course Format

• Specialist-led discussions complemented by technical demonstrations.
• Practical exploration via structured design challenges.
• Applying core concepts within simulated agent environments.

Customization Options

• Should your organization require bespoke content or case-specific examples, please reach out to us to tailor this training.

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

This instructor-led live training (available online or onsite) is designed for 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 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 exercises in integration engineering and API development.
• 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 browser capabilities, enabling them to deliver highly interactive, dynamic, and context-aware user experiences.

This instructor-led live training (available online or onsite) is tailored for intermediate to advanced technical professionals seeking to design and deploy AI agents that excel in long-term context retention, on-the-fly computation, and direct web UI interactions.

Upon completing this training, participants will be equipped to:

• Implement AgentCore memory to create 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 UI interactions.
• Develop interactive agents for analytics, customer support, and research applications.

Course Format

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

Course Customization

• For tailored training options, please reach out to us to discuss your specific requirements.

AgentCore Runtime & Gateway is a pair of AWS services designed to streamline the packaging, deployment, and secure exposure of AI agents, facilitating seamless integration with external systems.

This instructor-led live training (available online or onsite) targets intermediate-level engineering teams looking to transition their AI agents from prototypes to production. The course focuses on 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:

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

Course Format

• Interactive lectures and discussions.
• Hands-on labs featuring Runtime deployments and Gateway integrations.
• Practical exercises emphasizing reliability, security, and rollout strategies.

Course Customization Options

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

Antigravity serves as a specialized development platform engineered for the creation of AI-driven, agent-first applications.

This instructor-led, live training session—available online or onsite—caters to intermediate-level developers seeking to architect real-world solutions leveraging autonomous AI agents within the Antigravity ecosystem.

Upon completion, participants will possess the capability to:

• Architect applications centered on autonomous and coordinated AI agents.
• Leverage the Antigravity IDE, editor, terminal, and browser for holistic, end-to-end development cycles.
• Orchestrate complex multi-agent workflows via the Agent Manager.
• Embed agent capabilities into robust, production-grade software systems.

Course Delivery Methodology

• Dynamic presentations supplemented by comprehensive technical demonstrations.
• Extensive hands-on labs and structured guided exercises.
• Practical implementation tasks executed directly within the Antigravity live environment.

Customization Options

• For content tailored to your specific technology stack, please reach out to arrange a customized training version.

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

This live, instructor-led session, available online or on-site, targets junior-level practitioners eager to discover the essentials of Antigravity and grasp how agent-powered coding environments boost efficiency.

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

• Install and set up Google Antigravity.
• Explore and comprehend both the Editor View and Manager View.
• Collaborate effectively with agents to automate basic development tasks.
• Leverage Antigravity to create, refine, and oversee project files.

Training Structure

• Instructor-led explanations complemented by live demonstrations.
• Guided practical exercises emphasizing the hands-on application of agents.
• Practical investigation of key Antigravity features within a controlled lab setting.

Customization Availability

• For a tailored version of this training, please reach out to us to schedule a customized program.

Google Antigravity serves as a platform designed to develop agents that interact with web applications, browser environments, and workflows spanning multiple surfaces.

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

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

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

Course Structure

• Step-by-step guidance reinforced through live demonstrations.
• Hands-on practical exercises and scenario-based learning activities.
• Deployment of agent workflows within an interactive lab setting.

Customization Opportunities

• Reach out to us to customize the training content to align with your specific business objectives.

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

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

Upon completing this program, participants will be equipped to:

• Grasp the fundamental capabilities of AgentCore in the context of AI agent development.
• Architect and set up basic AI agents leveraging managed services.
• Incorporate workflows to expand agent functionalities.
• Launch and oversee AI agents within production settings.

Training Format

• Engaging presentations paired with open discussions.
• Practical labs utilizing AgentCore services.
• Structured exercises guiding participants from concept to deployment.

Tailored Learning Options

• For those requiring a customized training experience, please reach out to us to discuss arrangements.

This live, instructor-led training—available either online or onsite—targets intermediate-level software developers and engineering teams seeking to construct scalable and observable AI systems utilizing Mastra.

Upon completion, participants will be equipped to:

• Grasp the Mastra architecture and understand its integration capabilities with LLMs and external APIs.
• Architect and execute AI agents and workflows in TypeScript.
• Leverage Mastra’s observability and memory utilities to track and enhance agent performance.
• Launch production-grade AI applications by harnessing the specific features of the Mastra framework.

Mastra is a framework that offers structured tools for evaluating, debugging, and ensuring 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 behavior, enhance reliability, and implement measurable evaluation processes.

Upon completing this training, participants will be able to confidently:

• Apply debugging techniques to identify and resolve issues with agent behavior.
• Evaluate agents using structured metrics, benchmarks, and quality scores.
• Implement tooling and workflows that monitor reliability, drift, and hallucinations.
• Design QA strategies that ensure consistent and predictable agent performance.

Course Format

• Interactive lectures and discussions.
• Hands-on exercises focused on debugging and evaluation.
• 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 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 designed to facilitate sophisticated workflow automation and coordination among multiple AI agents operating within distributed systems.

This instructor-led training, available either online or on-site, is tailored for intermediate-level professionals looking to design, orchestrate, and manage multi-agent workflows at scale.

Upon completion of this training, participants will acquire the skills to:

• Create complex workflows by leveraging Mastra’s orchestration capabilities.
• Coordinate multiple agents handling parallel or dependent tasks.
• Deploy monitoring and debugging tools for workflow execution.
• Optimize orchestration logic to enhance reliability, throughput, and automation efficiency.

Course Format

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

Course Customization Options

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

Google Antigravity serves as a central hub for agent-focused development, enabling the orchestration, oversight, and coordination of AI-powered coding and automation processes.

This instructor-led live session, available either online or on-site, is tailored for intermediate professionals seeking to architect, oversee, and refine multi-agent workflows within the Google Antigravity ecosystem.

By the end of this program, participants will have acquired the competencies necessary to:

• Define agent duties and set up orchestration pipelines using the Manager interface.
• Create and analyze Antigravity deliverables, such as task inventories, strategic plans, system logs, and browser captures.
• Apply verification methods to guarantee that agent operations are both transparent and auditable.
• Enhance multi-agent cooperation for intricate development and operational responsibilities.

Program Format

• Directed presentations accompanied by practical demonstrations.
• Scenario-driven exercises addressing genuine workflow complexities.
• Direct practice within an active Antigravity workspace.

Tailoring Options

• If a customized version of this program is required, please reach out to discuss specific adaptation needs.

Antigravity is a framework that embodies sophisticated agent-driven development workflows.

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

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

• Evaluate the precision and safety of code artifacts produced by agents.
• Employ structured methodologies to validate tasks executed by agents.
• Analyze browser recordings and trace agent activities with effectiveness.
• Implement QA and security principles to guarantee the reliability of agent workflows.

Course Format

• Instructor-led technical sessions and interactive discussions.
• Practical exercises centered on verifying genuine agent workflows.
• Hands-on testing and validation conducted in a controlled lab setting.

Customization Options

• Tailoring of scenarios, workflows, and testing examples is available upon request.