Getting Started with Strands Agents: From First Agent to Production-Ready (Part 1)

Описание: This comprehensive tutorial guides you through the Strands Agents SDK, an open-source framework for building powerful and production-ready AI agents. In this video, we'll take you from the basics of creating your first agent to advanced topics like multi-agent communication and performance evaluation. Learn how to connect your agents to various large language model providers, integrate with AWS services, and leverage tools like the Model Context Protocol (MCP) to extend their capabilities. By the end of this course, you'll have the skills to build, monitor, and evaluate your own AI agents for a wide range of applications.

What you'll learn in this video:
Lab 1: Your First Strands Agent: Get started with the Strands Agents SDK. Learn how to install the framework, create a basic agent, and enhance it with custom prompts and tools.
Lab 2: Connecting to LLM Providers: Discover the flexibility of Strands Agents by connecting to various large language model providers, including Anthropic, and learn best practices for choosing the right model for your needs.
Lab 3: Integrating with AWS Services: Empower your agents to interact with AWS services like Amazon S3 and DynamoDB using the built-in useAWS tool.
Lab 4: Extending Agent Capabilities with Tools and MCP: Dive deep into extending your agent's functionality with custom Python tools and the Model Context Protocol (MCP).
Lab 5: Agent-to-Agent (A2A) Communication: Learn how to build multi-agent systems where agents can communicate and delegate tasks to each other using the A2A protocol.
Lab 6: Observability and Evaluation with Langfuse and Ragas: Master the crucial skills of monitoring and evaluating your agent's performance using Langfuse for observability and Ragas for quality assessment.

Whether you're a developer looking to get into agentic AI or an experienced practitioner wanting to level up your skills, this video provides the practical knowledge you need to succeed with Strands Agents.

Timestamps:
0:00 - Introduction to Strands Agents
0:23 - Lab 1: Your First Strands Agent
5:55 - Building a Specialized Agent with System Prompts
8:03 - Enhancing Agents with Tools
14:37 - Lab 2: Connecting to LLM Providers
15:43 - The Model Provider Abstraction
17:06 - Connecting to Anthropic Claude Models
24:15 - Using LightLLM and Ollama with Strands
26:12 - Configuring Amazon Bedrock
32:41 - Lab 3: Integrating with AWS Services
33:19 - Setting Up AWS Credentials and Permissions
36:38 - Using the useAWS Tool
38:43 - Interacting with Amazon S3 and DynamoDB
47:56 - Lab 4: Extending Agent Capabilities with Tools and MCP
48:30 - Understanding Tools in Strands Agents
50:03 - Introduction to the Model Context Protocol (MCP)
53:23 - Building a Weather Assistant with HTTP Request Tool
56:06 - Adding a Custom Python Tool
57:42 - Building a Calculator with an MCP Server
1:02:07 - Lab 5: Agent-to-Agent (A2A) Communication
1:02:30 - What is A2A?
1:04:22 - Building an A2A Application
1:12:09 - Best Practices for A2A
1:13:32 - Lab 6: Observability and Evaluation with Langfuse and Ragas
1:14:48 - Understanding Observability and Evaluation
1:15:52 - Building a Restaurant Recommendation Agent
1:20:25 - Setting Up Langfuse for Observability
1:25:50 - Evaluating Agent Responses with Ragas
1:34:09 - Conclusion