Hermes Agent for Developers: Designing Local AI Agent Workflows for Secure Code Assistance Training Course

Google Antigravity is an agentic development environment designed to build autonomous agents capable of planning, reasoning, coding, and acting through Gemini 3’s multimodal capabilities.

This instructor-led, live training (online or onsite) is aimed at advanced-level technical professionals who wish to design, build, and deploy autonomous agents using Gemini 3 and the Antigravity environment.

Upon finishing this training, participants will be prepared to:

• Build autonomous workflows that use Gemini 3 for reasoning, planning, and execution.
• Develop agents in Antigravity that can analyze tasks, write code, and interact with tools.
• Integrate Gemini-driven agents with enterprise systems and APIs.
• Optimize agent behavior, safety, and reliability in complex environments.

Format of the Course

• Expert demonstrations combined with interactive discussions.
• Hands-on experimentation with autonomous agent development.
• Practical implementation using Antigravity, Gemini 3, and supporting cloud tools.

Course Customization Options

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

Google Antigravity is an advanced framework for experimentation with long-lived agents and emergent interactive behaviors.

This instructor-led, live training (online or onsite) is aimed at advanced-level professionals who wish to design, analyze, and optimize agents capable of retaining memories, improving through feedback, and evolving over long operational horizons.

Upon completing this course, participants will gain the skills to:

• Design long-term memory structures for agent persistence.
• Implement effective feedback loops to shape agent behavior.
• Evaluate learning trajectories and model drift.
• Integrate memory mechanisms into complex multi-agent ecosystems.

Format of the Course

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

Course Customization Options

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

Mastra is a framework that facilitates deep integration between AI agents, APIs, enterprise applications, and external data systems.

This instructor-led, live training (online or onsite) is aimed at intermediate-level engineers who wish to build reliable, secure, and scalable integrations between Mastra agents and the broader enterprise ecosystem.

Upon completing this training, participants will be prepared 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.

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 empowers AI agents to deliver highly interactive, dynamic, and context-aware experiences by providing robust memory persistence, a secure code interpreter, and advanced browser capabilities.

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

Upon completion, participants will have the ability to:

• Deploy AgentCore memory to create stateful, context-aware workflows.
• Utilize the secure code interpreter for dynamic calculations and data transformations.
• Integrate the browser tool to facilitate real-time data acquisition and UI engagement.
• Develop interactive agents tailored for analytics, customer support, and research applications.

Training Delivery Format

• Engaging lectures combined with open discussion sessions.
• Practical lab exercises focused on AgentCore memory and tool utilization.
• In-depth case studies covering analytics, automation, and customer support scenarios.

Customization Options

• Reach out to our team to arrange a tailored training experience for this course.

The AgentCore Runtime & Gateway is an AWS service combination designed for packaging, deploying, and securely exposing AI agents, featuring streamlined integrations with external systems.

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

Upon completion of 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 using stable contracts.
• Implement observability, logging, and usage monitoring for production operations.

Course Format

• Interactive lectures and discussions.
• Hands-on labs focused on 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 make arrangements.

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

This instructor-led training, available either online or onsite, targets intermediate-level developers looking to build real-world applications utilizing autonomous AI agents within the Antigravity ecosystem.

Upon completing this training, participants will be capable of:

• Developing applications that depend on autonomous and coordinated AI agents.
• Utilizing the Antigravity IDE, editor, terminal, and browser for comprehensive development.
• Overseeing multi-agent workflows via the Agent Manager.
• Integrating agent functionalities into production-ready software systems.

Course Format

• A mix of presentations accompanied by detailed demonstrations.
• Substantial hands-on practice with guided exercises.
• Practical implementation work within the live Antigravity environment.

Customization Options

• For content tailored to your specific development stack, please reach out to us to arrange a customized training session.

Google Antigravity represents a new class of agent-first development environments, engineered to optimize engineering workflows via intelligent automation.

This live, instructor-led training session—available either online or onsite—is tailored for beginners seeking to grasp the core principles of Antigravity and comprehend how agent-driven coding environments can boost productivity.

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

• Set up and configure Google Antigravity.
• Navigate and interpret both the Editor View and Manager View interfaces.
• Collaborate efficiently with agents to automate routine development tasks.
• Leverage Antigravity for generating, refining, and overseeing project files.

Course Delivery Method

• Instructor-led explanations complemented by live, real-time demonstrations.
• Supervised practical exercises emphasizing hands-on agent interaction.
• Guided exploration of key Antigravity features within a secure lab environment.

Customization Availability

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

Google Antigravity is a platform designed to develop agents that interact with web applications, browser environments, and workflows spanning multiple surfaces.

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

By the end of the training, participants will have the ability to:

• Develop agents that engage with web applications within a browser surface.
• Automate end-to-end workflows across various browser contexts.
• Validate and troubleshoot agent behavior in 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 setting.

Customization Options

• To align the training with specific objectives, please contact us for tailored course customization.

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

This live, instructor-led session (available online or in-person) is designed for practitioners ranging from beginners to intermediates who are eager to acquire practical skills in building production-grade 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 utilizing managed services.
• Combine workflows to bolster agent functionality.
• Launch and monitor AI agents within production settings.

Course Format

• Engaging lectures paired with interactive discussions.
• Practical labs focused on AgentCore services.
• Structured exercises guiding you from agent conception to deployment.

Customization Availability

• To request a tailored training experience for this course, please reach out to us to make arrangements.

This live, instructor-led session—available both online and on-site—is specifically designed for mid-level software developers and engineering teams aiming to construct scalable, observable AI systems utilizing Mastra.

Upon completion of this program, attendees will possess the ability to:

• Grasp Mastra’s architectural design and its integration capabilities with LLMs and external APIs.
• Architect and develop AI agents and workflows using TypeScript.
• Leverage Mastra’s observability and memory utilities to track and enhance agent performance.
• Release production-grade AI applications by utilizing Mastra’s core framework capabilities.

Mastra is a framework that delivers 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 completion of this training, participants will be able to confidently:

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

Course Format

• Interactive lectures and discussions.
• Hands-on exercises in 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 that empowers sophisticated workflow automation and coordination across multiple AI agents within distributed systems.

This instructor-led live training, available both online and onsite, targets intermediate-level professionals seeking to design, orchestrate, and manage multi-agent workflows at scale.

Upon completion, participants will acquire the skills to:

• Design intricate workflows leveraging Mastra's orchestration capabilities.
• Coordinate multiple agents executing 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 focused on workflow design and automation.
• Practical implementation within a containerized live-lab environment.

Customization Options

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

Google Antigravity is an agent-centric development platform used to orchestrate, supervise, and coordinate AI-driven coding and automation workflows.

This instructor-led, live training (online or onsite) is aimed at intermediate-level professionals who wish to design, manage, and optimize multi-agent workflows within Google Antigravity.

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

• Configure agent responsibilities and orchestration pipelines within the Manager interface.
• Generate and interpret Antigravity artifacts, including task lists, plans, logs, and browser recordings.
• Implement verification strategies to ensure agent actions remain transparent and auditable.
• Optimize multi-agent collaboration for complex development and operational tasks.

Format of the Course

• Guided presentations and practical demonstrations.
• Scenario-based exercises focused on real workflow challenges.
• Hands-on experimentation within a live Antigravity workspace.

Course Customization Options

• If you require a tailored version of this course, please contact us to discuss customization options.

Antigravity is a framework designed to support sophisticated agent-driven development processes.

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

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

• Evaluate the precision and safety of code artifacts created by agents.
• Employ structured methods to verify tasks executed by agents.
• Effectively analyze browser recordings and trace agent activities.
• Implement QA and security standards to guarantee the reliability of agent workflows.

Course Delivery Format

• Technical briefings and discussions guided by an instructor.
• Practical exercises centered on verifying 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 to specific needs upon request.