Building AI Agents with OpenAI APIs Training Course

Google Antigravity serves as an agentic development environment engineered to create autonomous agents that leverage Gemini 3's multimodal strengths for planning, reasoning, coding, and action.

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

Upon completing this program, participants will be equipped to:

• Construct autonomous workflows that leverage Gemini 3 for reasoning, strategic planning, and execution.
• Develop agents in Antigravity capable of analyzing tasks, generating code, and interacting with various tools.
• Seamlessly integrate Gemini-driven agents with enterprise systems and external APIs.
• Enhance agent behavior, safety protocols, and reliability within complex operational environments.

Course Format

• Combines expert-led demonstrations with interactive discussions.
• Features hands-on experimentation in autonomous agent development.
• Includes practical implementation using Antigravity, Gemini 3, and associated cloud tools.

Customization Options

• If your team requires domain-specific agent behaviors or custom integrations, contact us to tailor the program to your specific needs.

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

This instructor-led live training, available both online and on-site, is tailored 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 skills to:

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

Course Format

• Expert-led discussions complemented by technical demonstrations.
• Practical exploration through structured design challenges.
• Application of concepts within simulated agent environments.

Customization Options

• Should your organization require tailored content or specific case examples, please reach out to us to customize this training.

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 both online and onsite, targets 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 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 implementation using real-world enterprise scenarios.

Customization Options

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

AgentCore empowers AI agents with memory persistence, a secure code interpreter, and a browser tool, enabling the creation of interactive, dynamic, and context-aware experiences.

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

Upon completion of this training, participants will have the capability 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 interaction.
• Design interactive agents tailored for analytics, customer support, and research applications.

Course Format

• Interactive lectures and facilitated discussions.
• Hands-on laboratory exercises focusing on AgentCore memory and integrated tools.
• Case studies covering analytics, automation, and customer support scenarios.

Customization Options

• Contact us to arrange a customized training experience tailored to your specific needs.

AgentCore Runtime & Gateway is a paired AWS service designed to simplify the packaging, deployment, and secure exposure of AI agents, along with streamlined integrations for external systems.

This instructor-led live training, available both online and onsite, is tailored for intermediate-level engineering teams aiming to transition from agent prototypes to production. The course focuses on mastering the AgentCore Runtime for deployment and the Gateway for secure connectivity and API integration.

Upon completing this training, participants will be able to:

• Establish AgentCore Runtime environments and package agents for deployment.
• Expose agents via Gateway using authenticated, rate-limited endpoints.
• Integrate external tools and APIs into agent workflows through stable contracts.
• Implement observability, logging, and usage monitoring to support 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 tailored for the creation of AI-powered, agent-centric applications.

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

Upon completing this course, attendees will be prepared to:

• Construct 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 using the Agent Manager.
• Embed agent functionalities into robust, production-grade software systems.

Course Format

• A blend of presentations and detailed practical demonstrations.
• Extensive hands-on practice sessions and guided exercises.
• Practical implementation tasks conducted within the live Antigravity environment.

Customization Possibilities

• To receive content specifically aligned with your technology stack, please reach out to us to discuss a tailored version of this training.

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

This live, instructor-led training session—available online or onsite—targets entry-level professionals seeking to grasp the core principles of Antigravity and gain insight into how agent-driven coding environments can boost productivity.

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

• Install and set up 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 oversee project files.

Course Delivery Format

• Instructor-led explanations complemented by live demonstrations.
• Structured exercises emphasizing practical agent utilization.
• Hands-on exploration of essential Antigravity capabilities within a controlled lab setting.

Customization Possibilities

• For a bespoke version of this training, please reach out to discuss a tailored program.

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

This instructor-led live training, available either online or on-site, is designed for intermediate-level professionals looking to construct, automate, and test browser-based workflows utilizing Google Antigravity.

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

• Develop agents capable of interacting with web applications within a browser surface.
• Automate comprehensive end-to-end workflows across various browser contexts.
• Validate and troubleshoot agent behavior in UI-driven environments.
• Implement effective cross-surface automation strategies using Antigravity.

Course Format

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

Customization Options

• If you have specific training requirements, please reach out so we can tailor the course to align with your objectives.

AgentCore streamlines the lifecycle of creating, refining, and overseeing fully managed AI agents through a cohesive platform designed for scalable deployment.

This live, instructor-led session—available online or in person—targets practitioners from beginner to intermediate levels who seek practical proficiency in developing production-grade AI agents using AgentCore.

Upon completion, 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 utilizing managed services.
• Connect workflows to expand agent versatility.
• Launch and monitor AI agents within production settings.

Course Format

• Engaging lectures paired with open discussions.
• Practical labs focused on AgentCore services.
• Supervised exercises guiding you from initial concept to final deployment.

Customization Options

• Reach out to us to discuss and arrange a tailored training program for this course.

Designed for mid-level developers and engineering teams, this live, instructor-led session (online or on-site) focuses on building scalable and observable AI systems using Mastra.

By the end of the program, learners will be able to:

• Comprehend Mastra’s architecture and how it connects with LLMs and external APIs.
• Create and implement AI agents and workflows using TypeScript.
• Utilize Mastra’s observability and memory tools to track and refine agent performance.
• Deploy production-grade AI applications by applying Mastra’s framework capabilities.

Mastra is a framework offering structured tools for the evaluation, debugging, and reliability assurance of AI agents operating within complex workflows.

This instructor-led live training, available online or onsite, targets intermediate practitioners seeking to rigorously test agent behavior, enhance reliability, and implement measurable evaluation processes.

Upon completion, participants will be able to confidently:

• Utilize debugging techniques to identify and rectify issues in agent behavior.
• Assess agents using structured metrics, benchmarks, and quality scores.
• Deploy tooling and workflows to monitor reliability, drift, and hallucinations.
• Design QA strategies that guarantee consistent and predictable agent performance.

Course Format

• Interactive lectures and discussions.
• Practical debugging and evaluation exercises.
• Live-lab analysis of agent behaviors utilizing 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 that enables sophisticated workflow automation and coordination across multiple AI agents operating within distributed systems.

This instructor-led, live training (online or onsite) is aimed at intermediate-level practitioners who want to design, orchestrate, and operate multi-agent workflows at scale.

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

• Design complex workflows using 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 platform designed to coordinate, oversee, and streamline AI-powered coding and automation processes.

This live, instructor-led session—available either online or on-site—is tailored for intermediate-level professionals aiming to refine the design, administration, and optimization of multi-agent workflows within Google Antigravity.

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

• Set up agent duties and orchestration pipelines through the Manager interface.
• Create and analyze Antigravity artifacts, such as task lists, strategic plans, logs, and browser recordings.
• Apply verification methods to ensure agent operations are transparent and subject to audit.
• Enhance multi-agent cooperation for intricate development and operational assignments.

Course Delivery Style

• Curated presentations combined with practical demonstrations.
• Scenario-driven tasks addressing realistic workflow challenges.
• Practical experimentation inside an active Antigravity workspace.

Customization Possibilities

• Should you need a bespoke version of this course, please reach out to explore customization options.

Antigravity serves as a framework designed to facilitate advanced development workflows driven by autonomous agents.

This live, instructor-led training program, available either online or onsite, is tailored for intermediate to advanced professionals. The objective is to equip participants with the skills to verify, validate, and secure the outputs generated by AI agents operating within Antigravity-based environments.

By the end of this training, participants will be capable of:

• Evaluating the precision and safety of code artifacts produced by agents.
• Employing structured methodologies to verify tasks executed by agents.
• Effectively analyzing browser recordings and tracing agent activities.
• Implementing QA and security best practices to guarantee the reliability of agent workflows.

Course Structure

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

Customization Options

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