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

Google Antigravity serves as an agentic development platform engineered to create autonomous agents that demonstrate planning, reasoning, coding, and action capabilities through the multimodal features of Gemini 3.

This live, instructor-facilitated training session, available online or on-site, is intended for senior technical specialists seeking to design, construct, and deploy autonomous agents utilizing Gemini 3 and the Antigravity environment.

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

• Construct autonomous workflows leveraging Gemini 3 for logical reasoning, planning, and execution.
• Develop agents within Antigravity capable of task analysis, code generation, and utility interaction.
• Integrate Gemini-based agents with public sector systems and service interfaces.
• Refine agent behavior, security, and reliability in complex operational environments.

Instructional Format

• Technical demonstrations accompanied by interactive dialogues.
• Practical exercises focused on autonomous agent development.
• Applied implementation using Antigravity, Gemini 3, and associated cloud tools for government applications.

Program Adaptation

• For teams requiring specialized agent behaviors or custom system integrations, please contact us to customize the curriculum for specific governmental needs.

Google Antigravity serves as a sophisticated framework for the exploration of long-term autonomous agents and emergent interactive dynamics.

This instructor-led training, available in online or on-site formats, is designed for advanced professionals seeking to design, analyze, and optimize agents that maintain persistent memory, refine operations through feedback, and evolve over extended operational periods.

Upon course completion, participants will possess the competencies to:

• Architect long-term memory structures for agent continuity.
• Deploy effective feedback loops to direct agent performance.
• Analyze learning progressions and identify model drift.
• Integrate memory functions within complex multi-agent systems for government applications.

Instructional Methodology

• Guided technical discourse accompanied by practical demonstrations.
• Practical application through structured design exercises.
• Synthesis of concepts within simulated agent environments.

Customization Options

• Organizations requiring specialized content or specific case studies are encouraged to contact our office to tailor this training program.

Mastra serves as a foundational framework enabling robust connectivity between AI agents, application programming interfaces, enterprise software, and external data repositories.

This instructor-led training program, available online or on-site, is designed for intermediate-level engineers responsible for establishing secure, reliable, and scalable integrations between Mastra agents and the broader public and private sector ecosystems.

Upon completion, participants will be equipped to:

• Implement API-driven integrations connecting Mastra agents with external government and commercial services.
• Link enterprise data systems and operational tools to automated agent workflows for improved efficiency.
• Apply rigorous standards for secure data exchange and identity verification in accordance with federal guidelines.
• Architect integration layers that are scalable, maintainable, and optimized for production environments for government operations.

Training Format

• Interactive instructional sessions and guided discussions.
• Practical exercises focused on integration engineering and API development.
• Live laboratory implementations utilizing realistic enterprise scenarios relevant for government contexts.

Course Customization

• Tailored API scenarios, enterprise system mappings, or specialized data-integration workshops may be arranged upon request.

AgentCore delivers memory persistence, a secure code interpreter, and a browser utility that empower AI agents to provide interactive, dynamic, and contextually aware solutions for government operations.

This instructor-led, live training program (available online or onsite) targets intermediate to advanced technical professionals aiming to design and deploy AI agents with capabilities for long-term context retention, on-demand computation, and direct web interface interaction for government applications.

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

• Deploy AgentCore memory for stateful, context-aware workflow management.
• Utilize the secure code interpreter for dynamic calculations and data transformations.
• Incorporate the browser utility for real-time data retrieval and interface interaction.
• Design interactive agents for analytics, customer support, and research initiatives for government use.

Course Structure

• Interactive presentations and guided discussions.
• Practical lab exercises utilizing AgentCore memory and tools.
• Case study analyses in analytics, automation, and customer support contexts.

Course Adaptation Options

• To initiate customized training for this curriculum, please contact us to arrange specific requirements.

AgentCore Runtime and Gateway constitute an AWS service suite designed for the packaging, deployment, and secure exposure of AI agents, facilitating streamlined integrations with external systems for government applications.

This instructor-led training program, available in online or on-site formats, is targeted at intermediate-level engineering teams seeking to transition agent prototypes into production environments. The curriculum focuses on mastering the AgentCore Runtime for deployment tasks and the Gateway for secure connectivity and API integration within public sector contexts.

Upon completion of this training, participants will be proficient in the following capabilities:

• Establishing AgentCore Runtime environments and packaging agents for deployment.
• Exposing agents via the Gateway using authenticated and rate-limited endpoints.
• Integrating external tools and APIs into agent workflows utilizing stable contractual agreements.
• Implementing observability, logging, and usage monitoring for operational production environments.

Course Format

• Interactive lectures and facilitated discussions.
• Hands-on laboratories focused on Runtime deployments and Gateway integrations.
• Practical exercises emphasizing reliability, security, and release management.

Customization Options for Government

• Requests for customized training sessions aligned with specific governmental requirements can be arranged by contacting the training provider.

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

This facilitated, live instruction session (available remotely or on-site) targets mid-level technical personnel seeking to deploy functional solutions utilizing autonomous AI entities within the Antigravity ecosystem.

Upon completion, participants will possess the competencies required to:

• Engineer systems dependent on independent and synchronized AI components.
• Utilize the Antigravity IDE, including its editor, terminal, and browser interfaces, for comprehensive system development.
• Administer complex multi-agent processes via the Agent Manager module.
• Incorporate agent functionalities into enterprise-grade software infrastructures.

Instructional Methodology

• Combined theoretical presentations and detailed technical demonstrations.
• Comprehensive practical exercises and guided skill application.
• Direct implementation tasks executed within the live Antigravity environment.

Curriculum Adaptation Options

• For content tailored to specific technical stacks, coordinate with our team to establish a customized training module for government operations.

Google Antigravity is an agent-priority development environment engineered to optimize engineering workflows through intelligent automation capabilities.

This instructor-led, live training session (available online or in-person) is designated for entry-level practitioners seeking to examine the foundational elements of Antigravity and comprehend how agent-driven coding environments augment operational efficiency.

Upon successful completion of this training program, participants will demonstrate the ability to:

• Install and configure Google Antigravity in a controlled environment.
• Navigate and interpret both the Editor Interface and Manager Interface.
• Collaborate effectively with autonomous agents to automate foundational development tasks.
• Utilize Antigravity to generate, refine, and manage project documentation and code files.

Instructional Delivery Method

• Instructor-led explanations accompanied by live, real-time demonstrations.
• Structured exercises emphasizing practical application of agent features.
• Practical examination of core Antigravity capabilities within a secure laboratory setting.

Customization Provisions

• For agencies requiring a tailored curriculum specific to their operational needs, please contact our team to arrange a customized training program for government use.

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

This instructor-led, live training (delivered online or on-site) is intended for intermediate-level professionals seeking to build, automate, and test browser-based workflows using Google Antigravity.

Upon completion of the training, participants will be equipped to:

• Develop agents capable of interacting 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 Delivery Format

• Guided instruction supported by practical demonstrations.
• Hands-on activities and scenario-based exercises focused on application.
• Execution of agent workflows within an interactive lab environment.

Course Customization Options

• For specific training requirements, please contact us to tailor the course to your organizational objectives.

AgentCore streamlines the development, enhancement, and oversight of fully managed AI agents by offering an integrated suite of services designed for scalable deployment for government operations.

This instructor-led, live training session, available online or onsite, is designed for practitioners at the beginner to intermediate level who seek hands-on experience in creating production-grade AI agents using AgentCore.

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

• Comprehend the foundational capabilities of AgentCore for AI agent development.
• Design and configure basic AI agents utilizing managed services.
• Integrate workflows to augment agent functionality.
• Deploy and monitor AI agents for production environments.

Training Delivery Format

• Interactive lectures and facilitated discussions.
• Practical laboratory exercises with AgentCore services.
• Guided activities spanning from agent concept to final deployment.

Customization Options

• Organizations seeking a customized training program for this course are advised to contact us to arrange suitable terms.

This instructor-led professional development course, delivered either virtually or in-person, targets intermediate-level software developers and engineering teams committed to constructing scalable, transparent AI systems utilizing Mastra for government and public sector operations.

Upon completion of this training, participants will be proficient in the following areas:

• Analyzing Mastra’s architectural framework and its interoperability with Large Language Models (LLMs) and external APIs.
• Designing and executing AI agents and workflows using TypeScript.
• Utilizing Mastra’s observability and memory modules to oversee and enhance agent performance.
• Deploying operational AI applications that leverage Mastra’s framework capabilities.

Mastra serves as an operational framework intended to facilitate the deployment, scaling, and lifecycle administration of AI agents within production settings.

This instructor-led, live training (conducted online or onsite) is directed at intermediate to advanced technical professionals required to operationalize AI agents with reliability and efficiency across production systems for government.

Upon finishing this training, participants will possess the capability to:

• Integrate Mastra-based AI agents into secure, production-grade environments.
• Expand agent capacity horizontally and vertically using platform-standard tools.
• Establish observability pipelines to monitor agent behavior and performance metrics.
• Refine runtime configurations to minimize latency, expenses, and operational hazards.

Delivery Format

• Engaging lectures and group discussions.
• Practical exercises emphasizing actual deployment scenarios.
• Live laboratory implementation utilizing containerized and orchestrated systems.

Customization Availability

• Adjustments to topics, practical labs, or sector-specific scenarios can be provided upon request.

Mastra is a framework designed to facilitate complex workflow automation and coordination among multiple AI agents operating within distributed architectures.

This instructor-led live training session, available online or on-site, targets intermediate-level practitioners seeking to design, orchestrate, and manage multi-agent workflows at scale.

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

• Develop intricate workflows leveraging Mastra’s orchestration functionalities.
• Coordinate multiple agents executing parallel or interdependent tasks.
• Deploy monitoring and diagnostic tools for workflow execution oversight.
• Enhance orchestration logic to improve reliability, throughput, and operational efficiency.

Course Format

• Interactive lectures and structured discussions.
• Practical workflow design and automation exercises.
• Real-world implementation within a containerized live-lab environment.

Customization Options for the Course

• Custom automation scenarios, enterprise-specific integrations, or tailored workflow patterns are available upon request for government applications.

Google Antigravity serves as an agent-centric development platform designed to orchestrate, supervise, and coordinate AI-driven coding and automation workflows for government operations.

This live, instructor-led training session, available online or on-site, targets intermediate-level professionals seeking to design, manage, and optimize multi-agent workflows within Google Antigravity for government contexts.

Upon successful completion, participants will possess the competencies required 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 for government oversight.
• Optimize multi-agent collaboration for complex development and operational tasks within public sector environments.

Instructional Methodology

• Structured presentations and technical demonstrations.
• Scenario-based exercises addressing realistic workflow challenges.
• Practical experimentation within a live Antigravity workspace.

Course Customization Options

• Entities requiring a tailored version of this curriculum are advised to contact the training provider to discuss customization options.

Antigravity is a framework that embodies advanced agent-driven development paradigms.

This instructor-led, live training program (delivered online or onsite) is designed for intermediate to advanced professionals seeking to verify, validate, and secure the output generated by AI agents within Antigravity-driven environments.

Upon completion of this training, participants will be capable of:

• Evaluating the accuracy and security of agent-generated code artifacts for government use.
• Utilizing structured methods to verify tasks executed by agents.
• Analyzing browser recordings and tracing agent activity with precision.
• Applying QA and security standards to ensure the reliability of agent workflows.

Instructional Format

• Instructor-led technical briefings and professional discussions.
• Practical exercises centered on the verification of real-world agent workflows.
• Hands-on testing and validation conducted within a controlled laboratory environment.

Course Customization Options

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