Building AI Agents with OpenAI APIs Training Course

Google Antigravity is an agentic development platform engineered to create autonomous agents that leverage the multimodal power of Gemini 3 for planning, reasoning, coding, and execution.

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

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

• Construct autonomous workflows that harness Gemini 3 for reasoning, strategic planning, and task execution.
• Create agents in Antigravity capable of analyzing tasks, generating code, and interacting with various tools.
• Seamlessly integrate Gemini-driven agents with enterprise systems and API frameworks.
• Enhance agent reliability, safety, and performance within complex operational settings.

Course Format

• Expert-led demonstrations accompanied by interactive discussions.
• Practical, hands-on experimentation in developing autonomous agents.
• Real-world implementation strategies utilizing Antigravity, Gemini 3, and complementary cloud tools.

Customization Options

• For teams requiring domain-specific agent behaviors or bespoke integrations, please reach out to us to tailor the program to your specific needs.

Google Antigravity serves as a sophisticated framework designed for experimenting with long-lived agents and the emergence of interactive behaviors.

Delivered through instructor-led, live sessions (either online or on-site), this training is tailored for advanced-level professionals seeking to design, analyze, and optimize agents that possess the ability to 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:

• Structure long-term memory architectures for agent persistence.
• Implement robust feedback loops to influence and shape 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.
• Hands-on learning through structured design challenges.
• Practical application of concepts within simulated agent environments.

Customization Options

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

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, targets intermediate-level engineers looking to create 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 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 exercises in integration engineering and API development.
• Live lab implementations based on real-world enterprise scenarios.

Course Customization Options

• Custom API scenarios, enterprise system mappings, or data-integration workshops can be arranged upon request.

AgentCore offers memory persistence, a secure code interpreter, and a browser tool that empower AI agents to provide interactive, dynamic, and context-aware user experiences.

This instructor-led live training, available both online and onsite, is designed for intermediate to advanced technical professionals who want to design and deploy AI agents with long-term context retention, real-time computation capabilities, and direct interaction with web interfaces.

Upon completion, 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 UI engagement.
• Develop interactive agents suitable for analytics, customer support, and research applications.

Course Format

• Interactive lectures paired with guided discussions.
• Hands-on lab exercises focusing on AgentCore memory and tool integration.
• Analysis of case studies in analytics, automation, and customer support scenarios.

Customization Options

• To request a customized training tailored to your specific needs for this course, please reach out to us to discuss arrangements.

AgentCore Runtime & Gateway is a complementary AWS service designed to package, deploy, and securely expose AI agents, featuring streamlined integrations with external systems.

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

Upon completing 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 covering 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 details.

Antigravity serves as a specialized development platform engineered for the construction of AI-centric, agent-first applications.

This instructor-led live training session, available either online or onsite, is tailored for intermediate-level developers seeking to build practical solutions utilizing autonomous AI agents within the Antigravity ecosystem.

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

• Engineer applications that depend on the coordination of autonomous AI agents.
• Leverage the Antigravity IDE, editor, terminal, and browser for holistic development cycles.
• Oversee complex multi-agent workflows via the Agent Manager.
• Embed agent capabilities into robust, production-ready software architectures.

Training Methodology

• A blend of theoretical presentations and deep-dive technical demonstrations.
• Substantial hands-on practice reinforced by guided exercises.
• Practical implementation tasks executed within the live Antigravity environment.

Customization Possibilities

• To align the curriculum with your specific technology stack, please reach out to us for a customized training package.

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

This live, instructor-led session—available either virtually or on-site—is tailored for entry-level professionals eager to delve into Antigravity's core principles and grasp how agent-powered coding environments boost efficiency.

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

• Deploy and set up Google Antigravity.
• Explore and master both the Editor View and Manager View.
• Collaborate seamlessly with agents to automate basic development operations.
• Leverage Antigravity to create, optimize, and oversee project files.

Instructional Methodology

• Expert-led explanations complemented by live demonstrations.
• Structured exercises emphasizing practical agent usage.
• Hands-on investigation of essential Antigravity capabilities within a secure lab setting.

Personalization Options

• For a bespoke training program tailored to specific needs, please reach out to us for a customized arrangement.

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

This instructor-led live training session, available both online and on-site, is specifically designed for intermediate-level professionals seeking to develop, automate, and rigorously test browser-based workflows using Google Antigravity.

By the end of the program, participants will have acquired the proficiency to:

• Develop agents capable of engaging with web applications within a browser surface.
• Orchestrate end-to-end workflows that span multiple browser contexts.
• Verify and debug agent performance within UI-centric environments.
• Deploy cross-surface automation strategies leveraging Antigravity.

Course Delivery Format

• Expert-led instruction accompanied by real-time demonstrations.
• Interactive, hands-on exercises grounded in practical scenarios.
• Execution of agent workflows within a dynamic, interactive lab setting.

Customization Possibilities

• For organizations requiring tailored learning outcomes, please reach out to customize the curriculum to align with your specific goals.

AgentCore streamlines the journey of developing, refining, and overseeing fully managed AI agents by offering a comprehensive suite of services optimized for large-scale deployment.

Delivered as a live, instructor-led session either online or on-site, this course is tailored for practitioners ranging from beginners to intermediate levels who seek practical experience in creating production-grade AI agents using AgentCore.

Upon completion, participants will possess the skills to:

• Grasp the fundamental capabilities of AgentCore within the AI agent development landscape.
• Architect and set up straightforward AI agents leveraging managed services.
• Seamlessly incorporate workflows to bolster agent capabilities.
• Launch and supervise AI agents within production settings.

Course Delivery Style

• Engaging lectures and open discussions.
• Practical labs centered on AgentCore services.
• Step-by-step exercises guiding you from initial concept to final deployment.

Customization Availability

• We welcome requests for customized training; please reach out to discuss your specific needs.

Targeting intermediate developers and engineering teams, this live, instructor-led course (online or onsite) focuses on developing scalable, observable AI systems using Mastra.

Upon completion, participants will be capable of:

• Comprehending Mastra's architecture and its seamless integration with LLMs and external APIs.
• Designing and implementing AI agents and workflows in TypeScript.
• Utilizing Mastra's observability and memory tools to monitor and refine agent performance.
• Deploying production-ready AI applications by leveraging Mastra's framework capabilities.

Mastra offers a framework equipped with structured tools designed to evaluate, debug, and ensure the reliability of AI agents functioning within complex workflows.

This live training, led by an instructor and available either online or on-site, is tailored for intermediate practitioners seeking to rigorously test agent behaviors, enhance reliability, and establish measurable evaluation processes.

Upon completion of this course, participants will be able to:

• Utilize debugging techniques to pinpoint and resolve issues in agent behavior.
• Assess agents through structured metrics, benchmarks, and quality scores.
• Deploy tools and workflows to monitor reliability, detect drift, and identify hallucinations.
• Develop 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 behaviors using 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 designed to facilitate 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 aiming to design, orchestrate, and manage multi-agent workflows at scale.

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

• Design complex workflows leveraging Mastra's orchestration capabilities.
• Coordinate multiple agents executing parallel or dependent tasks.
• Deploy monitoring and debugging tools for 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.

Customization Options

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

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

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

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

• Define agent duties and orchestration pipelines using the Manager interface.
• Create and analyze Antigravity artifacts, such as task lists, strategic plans, logs, and browser recordings.
• Deploy verification methods to ensure that agent actions are both transparent and auditable.
• Enhance multi-agent cooperation to handle complex development and operational assignments.

Course Delivery Format

• Guided presentations accompanied by practical demonstrations.
• Scenario-driven exercises addressing real-world workflow complexities.
• Direct hands-on experimentation within an active Antigravity workspace.

Customization Possibilities

• Should you require a specialized version of this curriculum, please reach out to explore tailored options.

Antigravity is a framework designed to represent advanced development workflows driven by autonomous agents.

This live, instructor-led training, available both online and on-site, is tailored for intermediate to advanced professionals looking to verify, validate, and secure the output generated by AI agents operating within Antigravity environments.

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

• Evaluate the accuracy and safety of code artifacts generated by agents.
• Employ structured techniques to verify tasks executed by agents.
• Effectively analyze browser recordings and trace agent activities.
• Implement QA and security principles to guarantee the reliability of agent workflows.

Course Format

• Instructor-led technical briefings and facilitated discussions.
• Practical exercises centered on verifying real-world 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.