Building AI Agents with OpenAI APIs Training Course

Google Antigravity serves as an agentic development platform purpose-built for constructing autonomous agents. Leveraging the multimodal capabilities of Gemini 3, these agents can independently plan, reason, code, and execute actions.

This live, instructor-led course (available online or onsite) is tailored for senior technical professionals eager to design, construct, and deploy autonomous agents utilizing Gemini 3 and the Antigravity ecosystem.

Upon completion, participants will be equipped to:

• Construct autonomous workflows that harness Gemini 3 for reasoning, strategic planning, and task execution.
• Develop agents within Antigravity capable of analyzing tasks, generating code, and interacting with various tools.
• Integrate Gemini-powered agents with enterprise infrastructure and APIs.
• Optimize agent performance, safety protocols, and reliability within complex operational environments.

Course Delivery Format

• Live expert demonstrations paired with interactive knowledge-sharing sessions.
• Practical hands-on experimentation in autonomous agent development.
• Applied implementation using Antigravity, Gemini 3, and relevant cloud services.

Customization Options

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

Google Antigravity serves as a sophisticated framework designed for experimenting with persistent agents and their emergent interactive capabilities.

This live, instructor-led training, available both online and on-site, is tailored for advanced-level professionals seeking to design, assess, and refine agents that retain memory, adapt 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 influence agent behavior.
• Assess learning trajectories and monitor model drift.
• Embed memory mechanisms within complex multi-agent ecosystems.

Course Format

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

Course Customization Options

• If your organization requires tailored content or case-specific examples, please reach out to us to customize this training.

Mastra serves as a framework facilitating 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 aiming to build reliable, secure, and scalable integrations between Mastra agents and the broader enterprise ecosystem.

Upon completion of 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 ready for production.

Format of the Course

• Interactive lecture and discussion.
• 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 the delivery of interactive, dynamic, and context-aware experiences.

This instructor-led, live training (available online or onsite) is designed for intermediate to advanced technical professionals who aim to design and deploy AI agents capable of long-term context retention, real-time computation, and direct interaction with web UIs.

Upon completing this training, participants will be able 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 interaction.
• Develop interactive agents for analytics, customer support, and research applications.

Course Format

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

Customization Options

• For bespoke training tailored to this curriculum, please contact us to discuss your requirements.

AgentCore Runtime & Gateway is an AWS service pairing 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:

• Stand 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 robust development platform specifically engineered for creating AI-powered, agent-centric applications.

This instructor-led, live training session, available either online or onsite, is tailored for intermediate-level developers looking to build real-world applications that leverage autonomous AI agents within the Antigravity ecosystem.

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

• Develop software solutions 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.
• Integrate agent capabilities seamlessly into production-grade software architectures.

Course Format

• A blend of presentations and in-depth practical demonstrations.
• Extensive hands-on practice sessions accompanied by guided exercises.
• Practical implementation work conducted directly within the live Antigravity environment.

Customization Options

• To tailor the content to your specific development stack, please contact us to arrange a customized version of this training.

Google Antigravity is an agent-first development environment engineered to simplify engineering workflows through intelligent automation.

This instructor-led live training, available online or on-site, is designed for beginner-level practitioners looking to master the basics of Antigravity and grasp how agent-driven coding environments boost productivity.

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

• Install and configure Google Antigravity.
• Navigate and comprehend both the Editor View and Manager View.
• Collaborate efficiently with agents to automate routine development tasks.
• Leverage Antigravity to generate, refine, and manage project files.

Course Format

• Instructor-led explanations accompanied by live demonstrations.
• Guided exercises emphasizing hands-on interaction with agents.
• Practical exploration of core Antigravity features within a controlled lab setting.

Customization Options

• Should you require a bespoke version of this training, please reach out to us to discuss a customized program.

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

This live, instructor-led programme, available online or on-site, is designed for intermediate professionals seeking to construct, automate, and rigorously test browser-based processes using Google Antigravity.

By the end of this training, participants will have the capability to:

• Develop agents that interact seamlessly with web applications within a browser environment.
• Automate comprehensive workflows spanning various browser contexts.
• Verify and resolve agent behaviours within user interface-driven environments.
• Apply cross-surface automation strategies utilising Antigravity.

Course Delivery Format

• Structured guidance complemented by live demonstrations.
• Engaging, hands-on practicals and scenario-based case studies.
• Implementation of agent workflows within an interactive laboratory setting.

Customisation Options

• For specific training needs, please reach out to us to tailor the curriculum to your organisational goals.

AgentCore streamlines the lifecycle of creating, refining, and overseeing fully managed AI agents by offering a cohesive suite of services designed for large-scale deployment.

This interactive, instructor-led training—available either online or on-site—is tailored for professionals ranging from beginners to intermediate practitioners who seek practical experience in building production-ready AI agents using AgentCore.

Upon completing this training, 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 augment agent performance.
• Launch and oversee AI agents within live production settings.

Training Format

• Engaging lectures paired with open discussions.
• Practical laboratories utilizing AgentCore services.
• Supervised exercises covering the full spectrum from agent conception to deployment.

Customization Options

• To explore bespoke training tailored to this curriculum, please reach out to us to discuss requirements.

This instructor-led live training, available online or onsite, targets intermediate software developers and engineering teams aiming to build scalable and observable AI systems with Mastra.

Upon completion, participants will be equipped to:

• Comprehend Mastra’s architecture and its integration capabilities with LLMs and external APIs.
• Architect and build AI agents and workflows utilizing TypeScript.
• Leverage Mastra’s observability and memory tools to oversee and enhance agent performance.
• Release production-ready AI applications by harnessing Mastra’s framework capabilities.

Mastra serves as a framework offering structured tools designed to evaluate, debug, and ensure the reliability of AI agents operating within complex workflows.

This live training session, led by an instructor and available both online or onsite, targets intermediate-level practitioners aiming to rigorously test agent behaviour, enhance reliability, and establish measurable evaluation processes.

Upon completing this training, participants will be able to:

• Apply debugging techniques to identify and rectify issues in agent behaviour.
• Evaluate agents through structured metrics, benchmarks, and quality scores.
• Implement tooling and workflows that monitor reliability, drift, and hallucinations.
• Design QA strategies that guarantee consistent and predictable agent performance.

Course Format

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

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 that facilitates 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.

By completing this training, participants will gain 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 is a platform built around agents, designed to manage and coordinate AI-driven coding and automation processes.

This live, instructor-led training—available online or onsite—is tailored for mid-level professionals looking to design, oversee, and refine multi-agent workflows within the Google Antigravity environment.

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

• Define agent responsibilities and orchestration pipelines using the Manager interface.
• Create and analyse Antigravity artifacts, such as task lists, strategic plans, logs, and browser session recordings.
• Apply verification methods to keep agent actions transparent and fully auditable.
• Enhance multi-agent collaboration to handle complex development and operational requirements.

Delivery Format

• Structured presentations complemented by live demonstrations.
• Practical exercises based on real-world workflow scenarios.
• Direct experimentation within a live Antigravity workspace.

Customisation Opportunities

• Looking for a bespoke version of this course? Reach out to us to explore specific customisation options.

Antigravity serves as a framework for advanced agent-driven development workflows.

This instructor-led training, available online or on-site, is tailored for intermediate to advanced professionals seeking to verify, validate, and secure outputs generated by AI agents within Antigravity-driven environments.

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

• Evaluate the precision and safety of code artifacts produced by agents.
• Utilize structured methods to verify tasks executed by agents.
• Analyze browser recordings and trace agent activity with effectiveness.
• Implement QA and security principles to guarantee the reliability of agent workflows.

Course Delivery Method

• Instructor-facilitated technical briefings and discussions.
• Practical exercises designed to verify real-world agent workflows.
• Hands-on testing and validation conducted in a controlled lab setting.

Customization Options

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