Amazon Bedrock AgentCore Training in Sud-Vest

Amazon Bedrock AgentCore delivers the foundational infrastructure necessary to design, orchestrate, and manage multi-agent systems, facilitating collaboration, specialization, and sophisticated automation patterns among multiple AI-driven entities.

This instructor-led, live training session (available online or onsite) is tailored for advanced practitioners looking to design, deploy, and optimize next-generation multi-agent systems by utilizing AgentCore’s orchestration and governance capabilities.

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

• Grasp the fundamental principles and architectures underpinning multi-agent systems.
• Design effective orchestration strategies to facilitate agent collaboration.
• Implement robust communication and negotiation protocols between agents.
• Deploy scalable, enterprise-grade multi-agent solutions using AgentCore.

Course Format

• Interactive lectures and discussions.
• Hands-on labs focused on AgentCore orchestration features.
• Analysis of case studies involving enterprise multi-agent applications.

Customization Options

• To request a customized training version of this course, please reach out to us to arrange it.

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

This live, instructor-led training—available online or onsite—is tailored for practitioners with beginner to intermediate experience who seek practical skills in developing production-ready AI agents using AgentCore.

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

• Grasp the fundamental capabilities of AgentCore for developing AI agents.
• Architect and set up basic AI agents leveraging managed services.
• Integrate workflows to expand agent functionality.
• Deploy and monitor AI agents within production environments.

Course Format

• Engaging lectures and group discussions.
• Practical labs utilizing AgentCore services.
• Structured exercises guiding participants from agent concept to final deployment.

Customization Options

• Please reach out to us if you require a customized training program for this course.

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

This instructor-led, live training (available online or onsite) is designed for intermediate to advanced technical professionals aiming to develop and deploy AI agents with capabilities for long-term context retention, real-time computation, and direct web UI interaction.

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

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

Course Format

• Engaging lectures and open discussions.
• Practical lab exercises focusing on AgentCore memory and associated tools.
• Case studies exploring scenarios in analytics, automation, and customer support.

Customization Options

• Please contact us to discuss and arrange a customized training program for this course.

AgentCore offers integrated identity, observability, and compliance capabilities, empowering organizations to deploy AI agents with confidence in enterprise settings.

This live, instructor-led training—available online or onsite—is designed for advanced practitioners seeking to build and manage secure, auditable, and compliant AI agent systems using Amazon Bedrock AgentCore.

Upon completing this training, participants will be equipped to:

• Implement robust enterprise identity and permissioning frameworks for agents.
• Enhance visibility through structured logging, metrics, and tracing.
• Integrate compliance controls to ensure alignment with regulatory standards.
• Monitor agent behavior and enforce secure session-level policies.

Course Format

• Engaging lectures and open discussions.
• Practical labs utilizing AWS security and monitoring tools.
• Analyzing case studies from regulated enterprise contexts.

Customization Options

• Contact us to discuss and arrange a tailored training experience for this course.

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.

Amazon Bedrock AgentCore serves as an enterprise-grade framework designed to facilitate the creation, deployment, and scaling of AI agents, featuring built-in support for memory management, observability, and secure identity handling.

This instructor-led live training session, available either online or onsite, is tailored for intermediate to advanced engineers and architects who aim to design, secure, and manage agentic AI systems utilizing AWS Bedrock AgentCore.

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

• Comprehending the architecture and key components of AgentCore.
• Deploying and managing AI agents through Runtime and Gateway.
• Establishing persistent memory and stateful interactions.
• Implementing controls for identity, observability, and compliance.
• Architecting multi-agent systems suited for enterprise-scale workflows.

Course Format

• Engaging lectures and discussions.
• Practical AWS lab sessions focused on AgentCore.
• Real-world exercises covering deployment and monitoring scenarios.

Course Customization Options

• For inquiries regarding customized training for this course, please contact us to arrange details.