Reinforcement Learning for AI Agents Training Course

Google Antigravity serves as an agentic development environment tailored for creating autonomous agents that can plan, reason, code, and execute actions via the multimodal capabilities of Gemini 3.

This instructor-led live training (available online or on-site) targets advanced technical professionals who want to design, build, and deploy autonomous agents using Gemini 3 and the Antigravity platform.

After completing this training, participants will be equipped to:

• Construct autonomous workflows leveraging Gemini 3 for reasoning, planning, and execution.
• Develop agents within Antigravity that can analyze tasks, generate code, and interact with various tools.
• Integrate Gemini-powered agents into enterprise systems and APIs.
• Enhance agent behavior, safety, and reliability in complex operational environments.

Course Format

• Expert demonstrations paired with interactive discussions.
• Hands-on practice in autonomous agent development.
• Practical application using Antigravity, Gemini 3, and complementary cloud tools.

Course Customization Options

• If your team needs domain-specific agent behaviors or custom integrations, please reach out to us to tailor the program accordingly.

Google Antigravity is a sophisticated framework designed for experimenting with persistent agents and emergent interactive behaviors.

This instructor-led training session, available online or onsite, targets advanced professionals seeking to design, analyze, and optimize agents that retain memories, improve via feedback, and evolve over extended operational periods.

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

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

Course Format

• Expert-led discussions combined with technical demonstrations.
• Hands-on exploration through structured design challenges.
• Application of concepts to simulated agent environments.

Customization Options

• For organizations requiring tailored content or specific case studies, please contact us to customize this training.

Mastra serves as a framework that facilitates 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 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 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 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 browser capabilities, enabling them to deliver highly interactive, dynamic, 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 that excel in long-term context retention, on-the-fly computation, and direct web UI interactions.

Upon completing this training, 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 interactions.
• Develop interactive agents for analytics, customer support, and research applications.

Course Format

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

Course Customization

• For tailored training options, please reach out to us to discuss your specific requirements.

AgentCore Runtime & Gateway is a pair of AWS services designed to streamline the packaging, deployment, and secure exposure of AI agents, facilitating seamless integration with external systems.

This instructor-led live training (available online or onsite) targets intermediate-level engineering teams looking to transition their AI agents from prototypes to production. The course focuses on 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 using authenticated, rate-limited endpoints.
• Integrate external tools and APIs into agent workflows via 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 emphasizing reliability, security, and rollout strategies.

Course Customization Options

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

Antigravity is a development platform designed to build AI-driven, agent-first applications.

This instructor-led, live training (online or onsite) is aimed at intermediate-level developers who wish to create real-world applications using autonomous AI agents within the Antigravity environment.

Upon completing this training, participants will be able to:

• Develop applications that rely on autonomous and coordinated AI agents.
• Utilize the Antigravity IDE, editor, terminal, and browser for end-to-end development.
• Manage multi-agent workflows with the Agent Manager.
• Integrate agent capabilities into production-grade software systems.

Format of the Course

• Blended presentations with in-depth demonstrations.
• Extensive hands-on practice and guided exercises.
• Real implementation work inside the Antigravity live environment.

Course Customization Options

• For tailored content aligned with your development stack, please contact us to arrange a customized version of this training.

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

This instructor-led, live training (online or onsite) is aimed at beginner-level practitioners who wish to explore the fundamentals of Antigravity and understand how agent-driven coding environments enhance productivity.

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

• Install and configure Google Antigravity.
• Navigate and understand both the Editor View and Manager View.
• Work effectively with agents to automate simple development tasks.
• Use Antigravity to generate, refine, and manage project files.

Format of the Course

• Instructor explanations supported by real-time demonstrations.
• Guided exercises focused on hands-on use of agents.
• Practical exploration of core Antigravity features in a controlled lab environment.

Course Customization Options

• If you require a tailored version of this training, please contact us to arrange a customized program.

Google Antigravity is a platform designed for creating agents that can interact with web applications, browser environments, and multi-surface workflows.

This instructor-led live training (available online or onsite) targets intermediate-level professionals aiming to build, automate, and test browser-based workflows using Google Antigravity.

Upon completing the training, participants will be equipped to:

• Develop agents that interact with web applications via the browser interface.
• Automate end-to-end workflows across different browser contexts.
• Validate and troubleshoot agent behavior within UI-driven environments.
• Implement cross-surface automation strategies utilizing Antigravity.

Course Format

• Guided instruction complemented by practical demonstrations.
• Hands-on activities and scenario-based exercises.
• Implementation of agent workflows within an interactive lab environment.

Customization Options

• For customized training needs, please reach out to tailor the course to your specific objectives.

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

This live, instructor-led training—available either online or onsite—is tailored for practitioners ranging from beginners to intermediate users who seek practical experience in building production-grade AI agents using AgentCore.

Upon completing this program, 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 leveraging managed services.
• Incorporate workflows to expand agent functionalities.
• Launch and oversee AI agents within production settings.

Training Format

• Engaging presentations paired with open discussions.
• Practical labs utilizing AgentCore services.
• Structured exercises guiding participants from concept to deployment.

Tailored Learning Options

• For those requiring a customized training experience, please reach out to us to discuss arrangements.

This live, instructor-led training—available either online or onsite—targets intermediate-level software developers and engineering teams seeking to construct scalable and observable AI systems utilizing Mastra.

Upon completion, participants will be equipped to:

• Grasp the Mastra architecture and understand its integration capabilities with LLMs and external APIs.
• Architect and execute AI agents and workflows in TypeScript.
• Leverage Mastra’s observability and memory utilities to track and enhance agent performance.
• Launch production-grade AI applications by harnessing the specific features of the Mastra framework.

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 onsite, is designed for intermediate-level practitioners who want to rigorously test agent behavior, enhance reliability, and implement measurable evaluation processes.

Upon completing this training, participants will be able to confidently:

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

Course Format

• Interactive lectures and discussions.
• Hands-on 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 among multiple AI agents operating within distributed systems.

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

Upon completion of this training, participants will acquire the skills to:

• Create complex workflows by leveraging Mastra’s orchestration capabilities.
• Coordinate multiple agents handling 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.
• Practical exercises in workflow design and automation.
• Hands-on implementation within a containerized live-lab environment.

Course Customization Options

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

Google Antigravity serves as a platform centered on agents, designed to orchestrate, supervise, and coordinate AI-driven coding and automation processes.

This training, led by an instructor and available either online or at your location, targets intermediate-level professionals looking to design, manage, and optimize multi-agent workflows within the Google Antigravity ecosystem.

After completing this training, participants will have acquired the following skills:

• Setting up agent responsibilities and orchestration pipelines using the Manager interface.
• Creating and analyzing Antigravity artifacts, such as task lists, plans, logs, and browser recordings.
• Applying verification methods to keep agent actions transparent and auditable.
• Enhancing collaboration among multiple agents for complex development and operational tasks.

Course Format

• Guided presentations alongside practical demonstrations.
• Scenario-based exercises that address real-world workflow challenges.
• Hands-on experimentation within an active Antigravity workspace.

Customization Options

• For a customized version of this course, please reach out to us to discuss your specific needs.

Antigravity is a framework that represents advanced agent-driven development workflows.

This instructor-led, live training (online or onsite) is aimed at intermediate to advanced professionals who wish to verify, validate, and secure the output produced by AI agents working within Antigravity-driven environments.

Upon completing this training, participants will be able to:

• Assess the accuracy and safety of agent-generated code artifacts.
• Use structured techniques to verify agent-executed tasks.
• Analyze browser recordings and trace agent activity effectively.
• Apply QA and security principles to ensure the reliability of agent workflows.

Format of the Course

• Instructor-guided technical briefings and discussions.
• Practical exercises focused on verifying real agent workflows.
• Hands-on testing and validation within a controlled lab environment.

Course Customization Options

• Adaptation of scenarios, workflows, and testing examples is available upon request.