Building AI Agents with OpenAI APIs Training Course

Google Antigravity serves as a specialized agentic development environment, engineered to create autonomous agents that leverage Gemini 3's multimodal capabilities for planning, reasoning, coding, and execution.

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

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

• Construct autonomous workflows leveraging Gemini 3 for reasoning, strategic planning, and task execution.
• Create agents in Antigravity capable of analyzing tasks, generating code, and interacting with external tools.
• Seamlessly integrate Gemini-driven agents with enterprise systems and APIs.
• Refine agent behavior, ensuring safety and reliability within complex operational environments.

Course Format

• Expert-led demonstrations paired with interactive discussions.
• Hands-on experimentation focused on autonomous agent development.
• Practical implementation exercises utilizing Antigravity, Gemini 3, and supporting cloud tools.

Customization Options

• Should your team require domain-specific agent behaviors or custom integrations, please reach out to tailor this program 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 session, available both online and onsite, is tailored for advanced professionals seeking to design, analyze, and optimize agents that retain memory, improve through feedback, and evolve over extended operational periods.

Upon completing this course, participants will be equipped with the skills to:

• Architect long-term memory structures to ensure agent persistence.
• Implement robust feedback loops to guide agent behavior.
• Assess learning trajectories and monitor model drift.
• Integrate memory mechanisms into complex multi-agent ecosystems.

Course Format

• Expert-led discussions complemented by technical demonstrations.
• Hands-on exploration via 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 that enables 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 build reliable, secure, and scalable integrations between Mastra agents and the wider enterprise ecosystem.

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

• Implement API-driven integrations connecting Mastra agents with external services.
• Link 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.

Course Customization Options

• Custom API scenarios, enterprise system mappings, or data-integration workshops are available upon request.

AgentCore empowers AI agents to deliver interactive, dynamic, and context-aware experiences through memory persistence, a secure code interpreter, and integrated browser tools.

This live, instructor-led training—available online or on-site—is designed for intermediate to advanced technical professionals seeking to architect and deploy AI agents that retain long-term context, perform on-the-fly computations, and interact directly with web interfaces.

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 user interface interactions.
• Design interactive agents tailored for analytics, customer support, and research applications.

Course Format

• Engaging lectures and collaborative discussions.
• Practical lab exercises focusing on AgentCore memory and tools.
• Case studies exploring analytics, automation, and customer support scenarios.

Customization Options

• Contact us to discuss and arrange a customized training program for this course.

AgentCore Runtime and Gateway is an AWS service combination designed for packaging, deploying, and securely exposing AI agents, facilitating streamlined integrations with external systems.

This instructor-led live training (available online or onsite) targets intermediate-level engineering teams aiming to transition from agent prototypes to production environments. Participants will master the AgentCore Runtime for deployment processes and the Gateway for secure connectivity and API integration.

Upon completion of this training, participants will be capable of:

• Setting up AgentCore Runtime environments and packaging agents for deployment.
• Exposing agents via Gateway using authenticated, rate-limited endpoints.
• Integrating external tools and APIs into agent workflows through stable contracts.
• Implementing observability, logging, and usage monitoring for production operations.

Course Format

• Interactive lectures and discussions.
• Hands-on labs focusing on Runtime deployments and Gateway integrations.
• Practical exercises centred on reliability, security, and release management.

Course Customization Options

• To request a tailored training session for this course, please contact us to arrange.

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

This instructor-led, live training session—available online or on-site—is tailored for intermediate-level developers aiming to build practical applications leveraging autonomous AI agents within the Antigravity ecosystem.

Upon completing this program, participants will possess the capability to:

• Engineer 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.
• Seamlessly integrate agent capabilities into production-grade software systems.

Course Structure

• Blended presentations accompanied by in-depth technical demonstrations.
• Extensive hands-on practice supported by guided exercises.
• Practical implementation tasks executed directly within the live Antigravity environment.

Customization Options

• For content tailored specifically to your development stack, please contact us to arrange a customized version of this training.

Google Antigravity is an agent-centric development platform engineered to optimize engineering processes through smart automation.

Delivered by expert instructors in a live online or onsite setting, this course is tailored for entry-level professionals eager to delve into the core principles of Antigravity and discover how agent-based coding environments boost efficiency.

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

• Set up and configure Google Antigravity.
• Navigate and comprehend both the Editor View and Manager View interfaces.
• Leverage agents to automate routine development tasks effectively.
• Utilize Antigravity to create, polish, and oversee project files.

Course Structure

• Expert-led explanations complemented by live demonstrations.
• Hands-on guided exercises emphasizing practical agent usage.
• Applied exploration of key Antigravity functionalities within a structured lab setting.

Customization Options

• If you need a bespoke training experience, reach out to us to design a customized program.

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

This instructor-led training, available either online or onsite, is tailored for intermediate-level professionals aiming to develop, automate, and test browser-centric workflows using Google Antigravity.

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

• Develop agents capable of engaging with web applications within a browser surface.
• Streamline end-to-end workflows across various browser contexts.
• Verify and troubleshoot agent behavior in UI-driven environments.
• Deploy cross-surface automation strategies leveraging Antigravity.

Course Format

• Interactive instruction complemented by live demonstrations.
• Hands-on practical activities and scenario-based exercises.
• Implementation of agent workflows within an interactive lab setting.

Customization Options

• To tailor the course to your specific business objectives, please reach out to us for customized training solutions.

AgentCore streamlines the development, refinement, and oversight of fully managed AI agents by offering a cohesive suite of services optimized for large-scale deployments.

This live, instructor-led training session, available either online or on-site, is designed for practitioners ranging from beginners to intermediates seeking hands-on proficiency in building production-grade AI agents using AgentCore.

Upon completing this program, participants will be equipped to:

• Grasp the fundamental capabilities of AgentCore for AI agent development.
• Architect and configure basic AI agents leveraging managed services.
• Integrate workflows to augment agent functionality.
• Deploy and monitor AI agents within production environments.

Training Format

• Engaging lectures and interactive discussions.
• Practical labs utilizing AgentCore services.
• Structured exercises guiding you from agent concept to final deployment.

Customization Options

• To explore tailored training options for this curriculum, please reach out to us to make arrangements.

This live, instructor-led session, conducted either online or onsite, is designed for intermediate-level developers and engineering teams aiming to build robust, observable AI systems with Mastra.

By the conclusion of this training, participants will possess the ability to:

• Grasp Mastra's underlying architecture and its interoperability with LLMs and third-party APIs.
• Structure and code AI agents and workflows in TypeScript.
• Utilize Mastra's monitoring and memory tools to track and optimize agent behaviour.
• Release production-ready AI solutions by effectively applying Mastra's framework capabilities.

Mastra is a framework that offers 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 behavior, enhance reliability, and implement measurable evaluation processes.

Upon completion of 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 to track reliability, drift, and hallucinations.
• Design QA strategies to ensure consistent and predictable agent performance.

Course Format

• Interactive lectures and discussions.
• Hands-on exercises in 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 serves as an operational framework designed 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 require the skills to reliably and efficiently 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 horizontally and vertically utilizing platform-native primitives.
• Implement observability pipelines to monitor agent behaviour and performance.
• Optimize runtime configurations to minimize latency, costs, and operational risks.

Course Format

• Interactive lectures and discussions.
• Hands-on exercises centered around real-world deployment scenarios.
• Live-lab implementation using 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-level professionals seeking to design, orchestrate, and manage multi-agent workflows at scale.

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

• Architect complex workflows leveraging Mastra’s orchestration features.
• Manage multiple agents executing parallel or dependent tasks.
• Deploy monitoring and debugging tools for workflow execution.
• Enhance orchestration logic for 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.

Customization Options

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

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

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

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

• Configure agent responsibilities and orchestration pipelines using the Manager interface.
• Create and analyze Antigravity artifacts, such as task lists, plans, logs, and browser recordings.
• Apply verification strategies to ensure agent actions remain transparent and audit-ready.
• Enhance multi-agent collaboration for complex development and operational tasks.

Course Format

• Interactive presentations and practical demonstrations.
• Scenario-based exercises addressing real-world workflow challenges.
• Hands-on experimentation within a live Antigravity workspace.

Customization Options

• Should you require a tailored version of this course, please reach out to discuss customization possibilities.

Antigravity is a framework that represents advanced agent-driven development workflows.

This instructor-led, live training (online or onsite) is aimed at intermediate to advanced professionals who wish to verify, validate, and secure the output produced by AI agents working within Antigravity-driven environments.

Upon completing this training, participants will be able to:

• Assess the accuracy and safety of agent-generated code artifacts.
• Use structured techniques to verify agent-executed tasks.
• Analyze browser recordings and trace agent activity effectively.
• Apply QA and security principles to ensure the reliability of agent workflows.

Format of the Course

• Instructor-guided technical briefings and discussions.
• Practical exercises focused on verifying real agent workflows.
• Hands-on testing and validation within a controlled lab environment.

Course Customization Options

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