Introduction to AI Agents 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.

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 onsite) is aimed at intermediate-level engineers who wish to build reliable, secure, and scalable integrations between Mastra agents and the broader enterprise ecosystem.

Once this training is completed, 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 provides memory persistence, a secure code interpreter, and a browser tool that enable AI agents to deliver interactive, dynamic, and context-aware experiences.

This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level technical practitioners who wish to design and deploy AI agents capable of long-term context retention, on-the-fly computation, and direct interaction with web UIs.

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

• Implement AgentCore memory for stateful, context-aware workflows.
• Leverage the secure code interpreter for dynamic calculations and transformations.
• Integrate the browser tool for real-time data retrieval and UI interaction.
• Design interactive agents for analytics, customer support, and research use cases.

Format of the Course

• Interactive lecture and discussion.
• Hands-on lab exercises with AgentCore memory and tools.
• Case studies in analytics, automation, and customer support scenarios.

Course Customization Options

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

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

This instructor-led, live training (online or onsite) is aimed at intermediate-level engineering teams who wish to move from agent prototypes to production by 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:

• Stand up AgentCore Runtime environments and package agents for deployment.
• Expose agents through Gateway with authenticated, rate-limited endpoints.
• Integrate external tools and APIs into agent workflows using stable contracts.
• Instrument observability, logging, and usage monitoring for production operation.

Format of the Course

• Interactive lecture and discussion.
• Hands-on labs with Runtime deployments and Gateway integrations.
• Practical exercises focused on reliability, security, and rollout.

Course Customization Options

• To request a customized training 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.

AgentCore simplifies the process of building, enhancing, and monitoring fully managed AI agents by providing a unified suite of services tailored for deployment at scale.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level practitioners who wish to gain hands-on experience creating production-ready AI agents with AgentCore.

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

• Understand the core capabilities of AgentCore for AI agent development.
• Design and configure simple AI agents using managed services.
• Integrate workflows to enhance agent functionality.
• Deploy and monitor AI agents for production environments.

Format of the Course

• Interactive lecture and discussion.
• Hands-on labs with AgentCore services.
• Guided exercises from agent concept to deployment.

Course Customization Options

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

Amazon Bedrock AgentCore is an enterprise-ready framework for building, deploying, and scaling AI agents with integrated support for memory, observability, and secure identity management.

This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level engineers and architects who wish to design, secure, and operate agentic AI systems using AWS Bedrock AgentCore.

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

• Understand the architecture and components of AgentCore.
• Deploy and manage AI agents with Runtime and Gateway.
• Implement persistent memory and stateful interactions.
• Apply identity, observability, and compliance controls.
• Design multi-agent systems for enterprise-scale workflows.

Format of the Course

• Interactive lecture and discussion.
• Hands-on AWS lab sessions with AgentCore.
• Practical exercises with deployment and monitoring scenarios.

Course Customization Options

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

AgentCore provides built-in identity, observability, and compliance features that enable organizations to deploy AI agents responsibly in enterprise environments.

This instructor-led, live training (online or onsite) is aimed at advanced-level practitioners who wish to design and operate secure, auditable, and compliant AI agent systems using Amazon Bedrock AgentCore.

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

• Implement enterprise identity and permissioning models for agents.
• Enable observability through structured logging, metrics, and tracing.
• Apply compliance controls to align with regulatory frameworks.
• Audit agent activity and maintain secure session-level controls.

Format of the Course

• Interactive lecture and discussion.
• Hands-on labs with AWS security and monitoring tools.
• Case studies in regulated enterprise environments.

Course Customization Options

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

This instructor-led, live training (online or onsite) is aimed at intermediate-level software developers and engineering teams who wish to build scalable, observable AI systems using Mastra.

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

• Understand Mastra’s architecture and how it integrates with LLMs and external APIs.
• Design and implement AI agents and workflows using TypeScript.
• Use Mastra’s observability and memory tools to monitor and improve agent performance.
• Deploy production-ready AI applications 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 onsite) is aimed at intermediate-level practitioners who wish to rigorously test agent behavior, improve reliability, and implement measurable evaluation processes.

At the end of this training, participants will confidently:

• Apply debugging techniques to identify and correct agent behavior 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.

Format of the Course

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

Course 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 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.

By 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.
• Optimize orchestration logic for reliability, throughput, and automation efficiency.

Format of the Course

• Interactive lecture and discussion.
• Hands-on workflow design and automation exercises.
• Practical implementation in 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.

This 1-day workshop, designed for developers, data scientists, and AI enthusiasts, will help you understand and harness the power of agentic AI systems using AutoGen v0.4.

Through a mix of hands-on exercises and practical demonstrations, you’ll learn how to build, manage, and deploy multi-agent applications powered by Large Language Models (LLMs).

By the end of the course, you'll gain a solid foundation in AutoGen’s layered architecture, master asynchronous communication between agents, and explore real-world use cases and best practices for developing scalable and intelligent LLM-driven applications.

Amazon Bedrock AgentCore provides the infrastructure to design, orchestrate, and manage multi-agent systems, enabling collaboration, specialization, and advanced automation patterns across multiple AI-driven entities.

This instructor-led, live training (online or onsite) is aimed at advanced-level practitioners who wish to design, deploy, and optimize next-generation multi-agent systems using AgentCore’s orchestration and governance features.

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

• Understand the principles and architectures of multi-agent systems.
• Design orchestration strategies for agent collaboration.
• Implement communication and negotiation protocols between agents.
• Deploy scalable, enterprise-ready multi-agent solutions using AgentCore.

Format of the Course

• Interactive lecture and discussion.
• Hands-on labs with AgentCore orchestration features.
• Case studies of enterprise multi-agent applications.

Course Customization Options

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