Secure Local Agentic AI: On-Prem Ollama Development for Regulated Industries Training Course

Google Antigravity serves as an agentic development environment engineered to construct autonomous agents capable of planning, reasoning, coding, and executing tasks via Gemini 3’s multimodal capabilities.

This instructor-led, live training (available online or onsite) targets advanced-level technical professionals looking 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 leveraging Gemini 3 for reasoning, planning, and execution.
• Develop agents within Antigravity that can analyse tasks, generate code, and interact with various 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 focused on autonomous agent development.
• Practical implementation using Antigravity, Gemini 3, and supporting cloud tools.

Course Customization 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 serves as a robust framework facilitating deep integration among AI agents, APIs, enterprise applications, and external data systems.

This instructor-led training, available both online and onsite, is designed for intermediate-level engineers aiming to create reliable, secure, and scalable integrations between Mastra agents and the wider enterprise ecosystem.

Upon completing this training, participants will be equipped to:

• Execute API-driven integrations between Mastra agents and external services.
• Link 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 use.

Course Format

• Interactive lectures and discussions.
• Hands-on exercises in integration engineering and API development.
• Live laboratory implementations using real-world enterprise scenarios.

Course Customization Options

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

AgentCore empowers AI agents to deliver dynamic, context-aware, and interactive experiences by integrating memory persistence, a secure code interpreter, and a dedicated browser tool.

Designed for intermediate to advanced technical practitioners, this live, instructor-led course (available online or onsite) focuses on designing and deploying AI agents that excel at long-term context retention, real-time computation, and seamless interaction with web interfaces.

Upon completion, participants will be equipped to:

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

Training Format

• Engaging lectures and collaborative discussions.
• Practical lab exercises focusing on AgentCore memory and tool integration.
• In-depth case studies covering analytics, automation, and customer support scenarios.

Customization Availability

• Seeking tailored training for this curriculum? Please reach out to arrange a customized session.

AgentCore Runtime and Gateway is a paired AWS service designed to streamline the packaging, deployment, and secure exposure of AI agents, enabling seamless integration with external systems.

This instructor-led live training, available either online or onsite, targets intermediate-level engineering teams looking to transition their AI agents from prototype stages to production. Participants will master the AgentCore Runtime for deployment processes and the Gateway for establishing secure connectivity and robust API integration.

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

• Set up AgentCore Runtime environments and package agents for deployment.
• Expose agents via Gateway using authenticated and rate-limited endpoints.
• Connect external tools and APIs into agent workflows through stable contracts.
• Implement observability, logging, and usage monitoring for effective production operations.

Course Format

• Interactive lectures and discussions.
• Practical labs involving Runtime deployments and Gateway integrations.
• Exercises focused on reliability, security, and release strategies.

Customization Options

• For customized training arrangements, please contact us.

Antigravity is a development platform engineered for constructing AI-driven, agent-first applications.

This instructor-led, live training (available online or onsite) targets intermediate-level developers seeking to build real-world applications using autonomous AI agents within the Antigravity environment.

Upon completing this training, participants will be able to:

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

Course Format

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

Course Customization Options

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

Google Antigravity serves as an agent-centric development ecosystem engineered to optimize engineering processes via intelligent automation.

Delivered by an expert instructor, this live session (available online or in-person) is tailored for entry-level professionals seeking to grasp the essentials of Antigravity and comprehend how agent-enabled coding environments boost efficiency.

By the end of this program, participants will have the ability to:

• Set up and adjust Google Antigravity.
• Explore and interpret both the Editor and Manager interfaces.
• Collaborate seamlessly with agents to streamline basic development activities.
• Leverage Antigravity to create, optimize, and oversee project documentation and files.

Course Delivery Style

• Instructor-led insights complemented by live, real-time walkthroughs.
• Structured practice sessions emphasizing practical agent application.
• Hands-on investigation of key Antigravity capabilities within a secure lab setting.

Tailored Course Options

• Should you need a specialized curriculum, reach out to us to design a bespoke learning path.

Google Antigravity serves as a robust platform for developing intelligent agents designed to navigate web applications, operate within browser environments, and manage complex multi-surface workflows.

This instructor-led session, available both online and onsite, is specifically tailored for intermediate-level professionals seeking to master the construction, automation, and testing of browser-based processes using Google Antigravity.

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

• Develop agents capable of interacting with web applications within a browser surface.
• Streamline end-to-end workflows across various browser contexts.
• Assess and resolve agent performance issues in UI-centric environments.
• Deploy cross-surface automation strategies leveraging Antigravity.

Course Delivery Method

• Expert-led instruction complemented by live demonstrations.
• Engaging, hands-on practical tasks and scenario-based challenges.
• Building agent workflows within an interactive laboratory setting.

Customization Opportunities

• Should you have specific training needs, please reach out to us to customize the curriculum to align with your strategic goals.

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

Delivered as a live, instructor-led session (available online or onsite), this course is tailored for practitioners ranging from beginners to intermediates who are eager to build production-grade AI agents using AgentCore.

Upon completing this training, participants will be equipped to:

• Grasp the fundamental capabilities of AgentCore in AI agent development.
• Architect and configure basic AI agents leveraging managed services.
• Integrate workflows to bolster agent performance.
• Deploy and monitor AI agents within production environments.

Course Delivery Structure

• Engaging lectures and open discussions.
• Practical labs utilizing AgentCore services.
• Guided exercises covering the full lifecycle from concept to deployment.

Tailored Training Options

• For those seeking a customized training experience, please reach out to us to make arrangements.

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

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

• Comprehend Mastra's architecture and its interoperability with LLMs and external APIs.
• Structure and deploy AI agents and workflows using TypeScript.
• Utilize Mastra's observability and memory tools to track and optimize agent performance.
• Ship production-ready AI applications by harnessing Mastra's framework capabilities.

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 session (available online or on-site) 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 rectify issues in 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 guarantee 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 designed to facilitate sophisticated workflow automation and coordination among multiple AI agents within distributed systems.

This instructor-led live training, available either 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 skills to:

• Design complex workflows leveraging Mastra’s orchestration capabilities.
• Coordinate multiple agents executing parallel or dependent tasks.
• Implement monitoring and debugging tools for workflow execution.
• Optimize orchestration logic to enhance reliability, throughput, and automation efficiency.

Format of the Course

• Interactive lectures and discussions.
• Hands-on exercises involving workflow design and automation.
• Practical implementation within a containerized live-lab environment.

Course 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 represent sophisticated agent-driven development workflows.

This instructor-led live training, 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 environments.

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

• Evaluate the precision and safety of code artifacts produced by agents.
• Utilize structured methods to verify tasks executed by agents.
• Effectively analyze browser recordings and trace agent activity.
• Implement QA and security principles to guarantee the reliability of agent workflows.

Course Format

• Instructor-led technical briefings and interactive discussions.
• Practical exercises centered on verifying real-world agent workflows.
• Hands-on testing and validation performed within a controlled lab setting.

Course Customization

• Scenarios, workflows, and testing examples can be customized upon request.