Building AI Agents with OpenAI APIs Training Course

Google Antigravity functions as a specialized agentic development environment, empowering users to construct autonomous agents that leverage the multimodal strengths of Gemini 3 to plan, reason, code, and execute actions independently.

Delivered as an instructor-led live session—available either online or onsite—this training is tailored for advanced technical professionals seeking to design, develop, and deploy autonomous agents utilizing Gemini 3 within the Antigravity ecosystem.

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

• Construct autonomous workflows that harness Gemini 3 for sophisticated reasoning, strategic planning, and task execution.
• Create agents within Antigravity capable of analyzing complex tasks, generating code, and interacting seamlessly with various tools.
• Integrate Gemini-powered agents into enterprise infrastructure and API frameworks.
• Refine agent behavior to ensure safety and reliability within complex operational environments.

Course Delivery Format

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

Customization Options

• Should your organization require domain-specific agent behaviors or bespoke integrations, please reach out to customize the program to your needs.

Google Antigravity serves as a sophisticated framework designed for exploring the behaviors of long-lived agents and emerging interactive dynamics.

Targeted at advanced-level professionals, this instructor-led live training (available online or on-site) focuses on the design, analysis, and optimization of agents that possess memory retention, feedback-driven improvement, and the capacity to evolve over extended operational periods.

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

• Architect long-term memory structures to ensure agent persistence.
• Implement robust feedback loops that effectively guide agent behavior.
• Assess learning trajectories and identify model drift.
• Embed memory mechanisms into intricate multi-agent ecosystems.

Course Format

• Expert-facilitated discussions complemented by technical demonstrations.
• Practical engagement through structured design challenges.
• Applying theoretical concepts within simulated agent environments.

Customization Options

• Should your organization require specific content or case-study examples, please reach out to us to tailor 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) targets 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 secure data exchange and authentication best practices.
• Design integration layers that are scalable, maintainable, and production ready.

Course Format

• Interactive lectures and discussions.
• Hands-on integration engineering and API exercises.
• Live lab implementations 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 interactive, dynamic, and context-aware experiences.

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

Upon completing this training, participants will be equipped to:

• Implement AgentCore memory to build 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 interaction.
• Develop interactive agents tailored for analytics, customer support, and research applications.

Course Format

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

Customization Options

• To request a tailored training solution, please reach out to us to discuss specific requirements.

AgentCore Runtime and Gateway is a pair of AWS services designed to help you package, deploy, and securely expose AI agents, while streamlining integrations with external systems.

This instructor-led, live training (available online or on-site) is designed for intermediate-level engineering teams looking to transition agent prototypes into production. Participants will master 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 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 production operations.

Course Format

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

Course Customization Options

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

Antigravity serves as a dedicated development platform engineered specifically for crafting AI-driven, agent-first applications.

This live, instructor-led training session, available either online or onsite, is tailored for intermediate-level developers eager to construct real-world solutions leveraging autonomous AI agents within the Antigravity ecosystem.

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

• Construct applications that leverage both autonomous and coordinated AI agents.
• Utilize the Antigravity IDE, along with its editor, terminal, and browser components, for comprehensive end-to-end development.
• Oversee multi-agent workflows effectively using the Agent Manager.
• Integrate agent functionalities into robust, production-grade software systems.

Course Structure

• Combination of detailed presentations and practical demonstrations.
• Comprehensive hands-on practice accompanied by guided exercises.
• Practical implementation tasks performed directly within the Antigravity live environment.

Customization Opportunities

• For content specifically tailored to your unique development stack, please reach out to arrange a customized version of this training.

Google Antigravity is a development environment built around an agent-first approach, designed to optimize engineering workflows via intelligent automation.

This live, instructor-led training—available either online or onsite—is tailored for novice practitioners eager to grasp the basics of Antigravity and explore how agent-driven coding environments can boost productivity.

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

• Set up and configure Google Antigravity.
• Navigate and comprehend both the Editor View and Manager View.
• Collaborate effectively with agents to automate routine development tasks.
• Leverage Antigravity to create, refine, and manage project files.

Course Format

• Instructor-led explanations paired with live demonstrations.
• Guided exercises emphasizing hands-on agent utilization.
• Practical exploration of core Antigravity features within a controlled lab setting.

Customization Options

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

Google Antigravity serves as a specialized platform for developing intelligent agents that can interact seamlessly with web applications, navigate browser environments, and manage complex, multi-surface workflows.

This instructor-led live training session, available either online or onsite, is designed for intermediate professionals looking to construct, automate, and rigorously test browser-based processes using Google Antigravity.

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

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

Course Delivery Approach

• Structured guidance complemented by live demonstrations.
• Hands-on practical activities and scenario-driven exercises.
• Application of agent workflows within an interactive lab setting.

Customization Opportunities

• To align the training with your specific goals, please reach out to us for tailored curriculum adjustments.

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

This live, instructor-led session (available online or on-site) is designed for beginners and intermediate practitioners looking to build production-grade AI agents using AgentCore through practical application.

Upon completion, participants will be equipped to:

• Grasp the fundamental capabilities of AgentCore for developing AI agents.
• Architect and set up basic AI agents leveraging managed services.
• Incorporate workflows to expand agent functionality.
• Release and oversee AI agents within production settings.

Delivery Method

• Engaging lectures paired with open discussions.
• Practical laboratories focused on AgentCore services.
• Structured exercises guiding the journey from initial concept to final deployment.

Tailored Training Options

• For inquiries regarding customized training for this curriculum, please reach out to us to coordinate details.

This live, instructor-led course—available online or on-site—is tailored for intermediate software developers and engineering teams looking to construct scalable, observable AI systems using Mastra.

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

• Grasp Mastra’s architecture and its integration methods with LLMs and external APIs.
• Conceive and execute AI agents and workflows utilizing TypeScript.
• Leverage Mastra’s observability and memory capabilities to oversee and enhance agent performance.
• Release production-grade AI applications by harnessing Mastra’s framework features.

Mastra is a framework offering 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 seeking 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 rectify agent behavior issues.
• Evaluate agents using structured metrics, benchmarks, and quality scores.
• Implement tooling and workflows to monitor reliability, drift, and hallucinations.
• Design QA strategies that ensure consistent and predictable agent performance.

Course Format

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

Course 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 across multiple AI agents within distributed systems.

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

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

• Design intricate workflows leveraging Mastra’s orchestration capabilities.
• Coordinate multiple agents handling parallel or dependent tasks.
• Implement monitoring and debugging tools for effective 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

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

Google Antigravity functions as an agent-focused development platform designed to manage, supervise, and coordinate AI-driven coding and automation workflows.

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

Upon successful completion of this training, participants will possess the skills necessary to:

• Define agent responsibilities and orchestrate pipelines using the Manager interface.
• Create and analyze Antigravity artifacts, such as task lists, execution plans, logs, and browser recordings.
• Apply verification strategies to ensure that all agent actions are transparent and fully auditable.
• Enhance multi-agent collaboration for complex development and operational tasks.

Course Format

• Guided presentations complemented by 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 specific customization needs.

Antigravity serves as a framework for sophisticated agent-driven development lifecycles.

This instructor-led, live session (available online or onsite) is designed for intermediate to advanced professionals seeking to verify, validate, and secure outputs generated by AI agents operating within Antigravity environments.

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

• Evaluate the precision and security of code artifacts produced by agents.
• Employ structured methodologies to validate tasks executed by agents.
• Analyze browser recordings and effectively track agent activity.
• Implement QA and security standards to guarantee the reliability of agent workflows.

Course Format

• Instructor-facilitated technical presentations and interactive discussions.
• Practical exercises centered on validating real-world agent workflows.
• Hands-on testing and validation conducted in a controlled lab setting.

Customization Options

• Scenarios, workflows, and testing examples can be tailored upon request.