AI Agents for Healthcare and Diagnosticsのトレーニングコース

AutoGen is an open-source framework from Microsoft for building multi-agent applications that use LLMs, tools, memory, and user interaction.

This instructor-led, live training (online or onsite) is aimed at advanced-level developers and architects who wish to design and deploy deeply customized agents using AutoGen’s Python-based APIs, function-calling capabilities, and modular toolchains.

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

• Develop custom agents with role-specific logic and tool routing.
• Build dynamic workflows using advanced function calling and context switching.
• Implement memory modules and planning frameworks within agent teams.
• Handle multi-agent error states and adaptive retry mechanisms.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

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

This instructor-led, live training in 日本 (online or onsite) is aimed at intermediate-level to advanced-level professionals who wish to integrate Read AI with platforms like Slack, CRM systems, and Notion to automate workflows and improve team efficiency.

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

• Connect Read AI with Slack, Salesforce, Notion, and similar tool.
• Automate the delivery of meeting summaries and action items across platforms.
• Sync Read AI data with CRM systems and task boards.
• Troubleshoot integration issues and optimize configurations for team needs.

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.

AutoGen for Enterprise AI Automation is a hands-on course focused on implementing scalable, intelligent agent systems to automate complex business operations using the AutoGen framework.

This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level AI professionals who wish to deploy multi-agent architectures across enterprise platforms and processes using the AutoGen framework.

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

• Design and automate enterprise workflows using AutoGen and LLM agents.
• Integrate AutoGen with LangChain for advanced orchestration and context handling.
• Build RAG pipelines and connect enterprise data for contextual automation.
• Connect agents with enterprise platforms like Slack, Jira, and SharePoint.
• Scale and monitor AutoGen deployments in production environments.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

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

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.

This instructor-led, live training in 日本 (online or onsite) is aimed at beginner-level professionals who wish to explore the fundamentals of CrewAI and build simple multi-agent systems.

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

• Understand the architecture and design principles of CrewAI.
• Define roles, tasks, and flows within a crew of agents.
• Create collaborative workflows using CrewAI's framework.
• Build, test, and run basic multi-agent scenarios.

AutoGen Studio is a visual environment for creating and managing LLM-based multi-agent workflows without requiring code.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level business and innovation professionals who wish to use AutoGen Studio to visually design, test, and refine agent interactions for internal automation or AI-enhanced product development.

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

• Create multi-agent workflows using a no-code interface.
• Define agent roles, prompts, and goals using AutoGen Studio.
• Visualize and manage message flows between agents.
• Incorporate error handling and context refinement into agent logic.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

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.

Building LLM Agent Systems with AutoGen is a hands-on course focused on developing multi-agent systems using Microsoft’s AutoGen framework for large language models (LLMs).

This instructor-led, live training (online or onsite) is aimed at intermediate-level AI and automation professionals who wish to design, implement, and orchestrate multi-agent systems using AutoGen with Python and LLMs.

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

• Design multi-agent architectures using the AutoGen framework.
• Configure agent roles, capabilities, and coordination behaviors.
• Use function-calling and memory handling for agent interactions.
• Build and test Python-based LLM agent workflows for real use cases.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

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

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.

This instructor-led, live training in 日本 (online or onsite) is aimed at beginner-level professionals who wish to learn how to use Read AI to capture meeting summaries, extract key insights, and generate action items with minimal manual effort.

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

• Set up and configure Read AI for meetings across major platforms.
• Automatically generate meeting summaries and identify action items.
• Interpret engagement and sentiment analytics provided by Read AI.
• Share, edit, and organize summaries effectively for team collaboration.

This instructor-led, live training in 日本 (online or onsite) is aimed at intermediate-level professionals who wish to streamline remote team collaboration using AI-powered workflows and Read AI analytics.

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

• Design complete remote team meeting workflows using Read AI.
• Automate follow-ups and documentation to reduce meeting overhead.
• Leverage AI summaries for both synchronous and asynchronous collaboration.
• Track team engagement and accountability through Read AI insights.