После прохождения этих курсов я уверенно создаю профессиональные визуализации и дашборды.
Shoebur RahmanСпециалист по закупкам, Giz Bangladesh
Описание курса
Learn to design, build, evaluate, and deploy AI agent systems using the open-source Strands Agents SDK. Starting from core concepts like the agent loop and tool integration through to multi-agent orchestration and cloud deployment with Amazon Bedrock AgentCore.
Предварительные требования
Для этого курса нет предварительных требований
Программа
План курса
1
Agent Fundamentals
Learn how AI agents work, how to configure different model providers, connect tools with MCP, and add callbacks and streaming to your agent harness.
- Agent Harnesses and The Agent Loop50 XP
- Understanding Agent Harnesses50 XP
- Model Providers50 XP
- Configuring Model Providers50 XP
- MCP & The Tools Ecosystem50 XP
- Callbacks and Streaming50 XP
- Tools and Callbacks50 XP
- An agent harness is best described as50 XP
- What happens after a tool finishes executing50 XP
- Why use a different model for evaluations50 XP
- What security risk with agent tools50 XP
- Why suppress the default output handler50 XP
2
Agent Control
Control your agent's behavior with hooks, extend it with plugins and skills, and improve reliability using Strands Steering.
3
Memory & Context
Master context engineering, conversation management, and persistent memory with session managers.
4
Multi-Agent Systems
Build sophisticated multi-agent systems using agents-as-tools, graph workflows, and agent swarms.
5
Production
Evaluate your agents thoroughly and deploy them to the cloud with Amazon Bedrock AgentCore.
R
Building AI Agent Harnesses with Strands Agents
Курс
завершён
