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 planning, logical reasoning, coding, and execution.

This instructor-led live training, available either online or on-site, is tailored for advanced technical professionals seeking to architect, develop, and deploy autonomous agents within the Antigravity ecosystem using Gemini 3.

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

• Construct autonomous workflows that harness Gemini 3 for high-level reasoning, strategic planning, and task execution.
• Create agents within Antigravity capable of analyzing complex tasks, generating code, and interfacing with various tools.
• Seamlessly integrate Gemini-powered agents with enterprise-grade systems and external APIs.
• Refine agent performance, ensuring safety and reliability even within complex operational environments.

Course Structure

• Expert-led demonstrations paired with interactive, collaborative discussions.
• Hands-on sessions focused on the practical experimentation of autonomous agent development.
• Real-world application utilizing Antigravity, Gemini 3, and complementary cloud tools.

Customization Opportunities

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

By the end of this course, participants will have acquired the skills to:

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

Course Format

• Engaging expert-led discussions complemented by technical demonstrations.
• Practical hands-on exploration through structured design challenges.
• Application of key concepts within simulated agent environments.

Customization Options

• If your organization needs tailored content or specific case studies, please reach out to customize this training to your needs.

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 looking to build 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.

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, enabling them to deliver dynamic, interactive, 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 capable of retaining long-term context, performing on-the-fly computations, and interacting directly with web interfaces.

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

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

Course Structure

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

Customization Options

• To arrange a tailored training experience for this course, please contact us to discuss your specific needs.

AgentCore Runtime & Gateway is an AWS service pairing designed 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:

• Set 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 specialized development platform tailored for creating AI-driven, agent-centric applications.

Delivered as an instructor-led live session (available online or on-site), this program targets intermediate-level developers seeking to engineer practical, real-world solutions by leveraging autonomous AI agents within the Antigravity ecosystem.

Upon completion, participants will possess the capability to:

• Design applications that depend on autonomous and coordinated AI agents.
• Leverage the Antigravity IDE, editor, terminal, and browser to drive end-to-end development cycles.
• Orchestrate multi-agent workflows efficiently using the Agent Manager.
• Embed agent capabilities seamlessly into production-grade software architectures.

Course Delivery Format

• A blend of conceptual presentations and detailed technical demonstrations.
• Extensive practical exercises and guided hands-on activities.
• Direct implementation tasks performed within the live Antigravity environment.

Customization Options

• To adapt the curriculum to your specific technology stack, please reach out to us for a customized training version.

Google Antigravity represents an agent-first development environment engineered to optimize engineering workflows via intelligent automation.

This instructor-led, live training session, available both online and onsite, is tailored for entry-level professionals seeking to grasp the core principles of Antigravity and comprehend how agent-centric coding platforms boost productivity.

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

• Set up and configure Google Antigravity.
• Navigate and interpret 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.

Course Delivery Method

• Instructor-led explanations complemented by live demonstrations.
• Supervised practice exercises centered on the hands-on application of agents.
• Practical discovery of key Antigravity features within a managed lab setting.

Customization Options for the Course

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

Google Antigravity serves as a robust platform for developing autonomous agents designed to interact seamlessly with web applications, manage browser environments, and orchestrate complex multi-surface workflows.

This instructor-led live training, available both online and onsite, is tailored for intermediate-level professionals aiming to construct, automate, and rigorously test browser-based workflows utilizing Google Antigravity.

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

• Develop agents that engage effectively with web applications within a browser surface.
• Streamline end-to-end workflows across various browser contexts.
• Diagnose, validate, and resolve agent behavior issues in UI-centric environments.
• Deploy comprehensive cross-surface automation strategies leveraging Antigravity.

Training Structure

• Guided instruction complemented by live demonstrations.
• Practical, hands-on sessions featuring scenario-based exercises.
• Real-time implementation of agent workflows within an interactive lab setting.

Customization Opportunities

• To address specific training needs, please contact us to tailor the curriculum to align with your strategic objectives.

AgentCore streamlines the lifecycle of building, refining, and observing fully managed AI agents by offering a cohesive set of services optimized for large-scale execution.

This instructor-led, live training session—available both online and on-site—is specifically designed for practitioners ranging from beginner to intermediate levels who are eager to acquire practical skills in developing production-ready AI agents using AgentCore.

Upon completing this program, participants will be equipped to:

• Grasp the fundamental features of AgentCore as they apply to AI agent development.
• Architect and set up straightforward AI agents leveraging managed services.
• Integrate complex workflows to broaden and improve agent capabilities.
• Launch and oversee AI agents within live production settings.

Training Delivery Structure

• Engaging presentations paired with open discussions.
• Practical lab sessions focused on AgentCore functionalities.
• Step-by-step exercises guiding you from initial concept to final deployment.

Tailoring Options

• To explore customized training options for this curriculum, please reach out to our team to discuss specific requirements.

This live, instructor-led training (accessible online or on-site) is curated for intermediate software developers and engineering teams seeking to build scalable, observable AI systems with Mastra.

Upon completion, participants will gain the ability to:

• Grasp Mastra’s architectural design and its seamless integration with LLMs and external APIs.
• Design and implement AI agents and workflows using TypeScript.
• Utilize Mastra’s observability and memory features to monitor and refine agent performance.
• Deploy production-ready AI applications by harnessing Mastra’s framework capabilities.

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 on-site) targets intermediate-level practitioners who want to rigorously test agent behaviour, improve reliability, and put in place measurable evaluation processes.

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

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

Course Format

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

Course Customisation Options

• Customised 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 enable sophisticated workflow automation and coordination across multiple AI agents operating within distributed systems.

This instructor-led, live training (available online or onsite) targets intermediate-level practitioners eager 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 for reliability, throughput, and automation efficiency.

Format of the Course

• Interactive lecture and discussion.
• Hands-on workflow design and automation exercises.
• Practical implementation in a containerized live-lab environment.

Course Customization Options

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

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

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

Upon completion, participants will be equipped to:

• Define agent responsibilities and orchestration pipelines through the Manager interface.
• Create and analyze Antigravity artifacts, such as task lists, strategic plans, logs, and browser recordings.
• Apply verification strategies that ensure agent actions are both transparent and auditable.
• Enhance multi-agent collaboration to handle complex development and operational demands.

Course Format

• Structured presentations combined with practical demonstrations.
• Scenario-driven exercises addressing real-world workflow challenges.
• Live hands-on practice within an active Antigravity workspace.

Customization Availability

• For a tailored version of this course, please reach out to us to explore customization options.

Antigravity represents a framework dedicated to advanced development workflows driven by autonomous agents.

This live, instructor-led training session, available both online and onsite, is designed 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 program, participants will be equipped to:

• Evaluate the precision and safety of code artifacts created by agents.
• Employ systematic methods to validate tasks executed by agents.
• Efficiently analyze browser recordings and trace agent activities.
• Implement quality assurance and security standards to guarantee the reliability of agent workflows.

Course Delivery Format

• Instructor-facilitated technical presentations and interactive discussions.
• Practical exercises centered on verifying actual agent workflows.
• Hands-on testing and validation conducted in a controlled laboratory setting.

Customization Options for the Course

• Scenario, workflow, and testing examples can be tailored to specific requests.