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

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

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

Upon completing this training, participants will be equipped to:

• Construct autonomous workflows that leverage Gemini 3 for reasoning, planning, and execution.
• Develop agents within Antigravity capable of analysing tasks, writing code, and interacting with tools.
• Integrate Gemini-driven agents with enterprise systems and APIs.
• Optimise agent behaviour, safety, and reliability in complex environments.

Course Format

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

Course Customisation Options

• If your team requires domain-specific agent behaviours 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 supports deep integration between AI agents, APIs, enterprise applications, and external data systems.

This instructor-led, live training (online or on-site) is designed for 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 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 integration engineering and API exercises.
• Live-lab implementation using real-world enterprise scenarios.

Course Customisation Options

• Custom API scenarios, enterprise system mappings, or data-integration workshops are available upon request.

AgentCore empowers AI agents with memory persistence, a secure code interpreter, and browser tools, enabling them to deliver interactive, dynamic, and context-aware experiences.

Designed for intermediate to advanced technical professionals, this instructor-led live training (available online or onsite) focuses on designing and deploying AI agents that maintain long-term context, perform real-time computations, and interact directly with web interfaces.

Upon completion, participants will be equipped to:

• Implement AgentCore memory for stateful, context-aware workflows.
• Utilise 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 Structure

• Interactive lectures and facilitated discussions.
• Practical lab exercises utilising AgentCore memory and tools.
• Case studies exploring analytics, automation, and customer support scenarios.

Customisation Options

• For tailored training aligned with specific business needs, please contact us to discuss arrangements.

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

This instructor-led, live training (delivered online or onsite) is tailored for intermediate-level engineering teams looking to progress from agent prototypes to production. Participants will master 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:

• Provision AgentCore Runtime environments and package agents for deployment.
• Expose agents through the 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 group discussions.
• Hands-on labs covering Runtime deployments and Gateway integrations.
• Practical exercises focused on reliability, security, and rollout strategies.

Course Customisation Options

• To request a customised training session for this course, please contact us to arrange.

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.

After completing this training, participants will be equipped to:

• Develop applications that rely on autonomous and coordinated AI agents.
• Use 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 serves as an agent-first development environment, engineered to optimise engineering workflows via intelligent automation.

This instructor-led, live training—available both online and onsite—is tailored for beginner-level practitioners aiming to grasp the fundamentals of Antigravity and appreciate how agent-driven coding environments boost productivity.

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

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

Course Format

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

Customisation Options

• If you require a bespoke version of this training, please reach out to us to discuss a tailored programme.

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

This instructor-led live training session, available both online and onsite, is tailored for intermediate-level professionals aiming to construct, automate, and rigorously test browser-based workflows using Google Antigravity.

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

• Develop agents that engage with web applications within the browser surface.
• Streamline end-to-end workflows across various browser contexts.
• Thoroughly validate and troubleshoot agent behaviour in UI-driven settings.
• Deploy cross-surface automation strategies leveraging Antigravity.

Course Delivery Format

• Structured guidance accompanied by live demonstrations.
• Practical, hands-on activities and scenario-based exercises.
• Execution of agent workflows within an interactive lab environment.

Course Customisation Options

• For tailored training requirements, please get in touch with us to adapt the course to your specific objectives.

AgentCore streamlines the creation, refinement, and oversight of fully managed AI agents by offering an integrated suite of services designed for large-scale deployment.

This instructor-led, live training session, available either online or onsite, targets practitioners ranging from beginner to intermediate levels who are keen to gain practical experience in developing production-ready AI agents using AgentCore.

Upon completing this training, participants will be capable of:

• Gaining a clear understanding of AgentCore's essential features for AI agent development.
• Designing and setting up basic AI agents utilizing managed services.
• Incorporating workflows to boost agent capabilities.
• Deploying and monitoring AI agents within production settings.

Course Structure

• Engaging lectures combined with open discussions.
• Practical labs focusing on AgentCore services.
• Supervised exercises guiding you from initial concept to final deployment.

Course Customisation Options

• To arrange tailored training for this course, please get in touch with us.

This instructor-led, live training, conducted either online or onsite, is tailored for intermediate-level software developers and engineering teams looking to build scalable and observable AI systems using Mastra.

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

• Understand Mastra’s architecture and its integration with LLMs and external APIs.
• Design and implement AI agents and workflows in TypeScript.
• Utilise Mastra’s observability and memory tools to monitor and optimise agent performance.
• Deploy production-ready AI applications by leveraging Mastra’s framework features.

Mastra is a framework that provides structured tools for evaluating, debugging, and assuring the reliability of AI agents operating across complex workflows.

This instructor-led, live training (online or on-site) is aimed at intermediate-level practitioners who wish to rigorously test agent behaviour, improve reliability, and implement measurable evaluation processes.

By the end of this training, participants will confidently:

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

Course Format

• Interactive lecture and discussion.
• Hands-on debugging and evaluation exercises.
• Live-lab analysis of agent behaviours using observability tools.

Course 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 on-site) is aimed at intermediate to advanced-level technical professionals who need to operationalise AI agents reliably and efficiently across production systems.

Upon completing this training, participants will be equipped to:

• Deploy Mastra-based AI agents into controlled, production-grade environments.
• Scale agents both horizontally and vertically using platform-native primitives.
• Implement observability pipelines to monitor agent behaviour and performance.
• Optimise runtime configurations to reduce latency, costs, and operational risks.

Course Format

• Interactive lectures and discussion.
• Practical exercises focused on real-world deployment scenarios.
• Live lab implementation using containerised and orchestrated environments.

Course Customisation Options

• Customisation of topics, hands-on labs, or industry-specific scenarios is available upon request.

Mastra is a framework that enables 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.

On 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.
• Optimise orchestration logic for reliability, throughput, and automation efficiency.

Course Format

• Interactive lectures and discussions.
• Hands-on workflow design and automation exercises.
• Practical implementation in a containerised live-lab environment.

Course Customisation Options

• Customised 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 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.