Building Agentic AI with Amazon Bedrock AgentCore

ابنِ وكلاء الذكاء الاصطناعي وشغّلهم باستخدام Amazon Bedrock AgentCore. تنشر الوكلاء بإطار العمل الذي تفضّله، وتدير الهوية والأمن، وتربط الأدوات عبر البوابة، وتضيف الذاكرة، وتراقب الوكلاء في الإنتاج.

يوم واحدمتوسط7 وحدات

سجّل أو استفسر ←اسأل عبر واتساب

نظرة عامة

ما ستتعلّمه

المحتوى التقني أدناه معروضٌ باللغة الإنجليزية كما ورد في منهاج الدورة، حفاظاً على دقّة المصطلحات.

Define agentic AI characteristics and differentiate them from traditional AI systems.
Identify the core agent components and their interactions.
Describe how Bedrock AgentCore services support agentic AI.
Deploy agents by using supported frameworks with AgentCore Runtime.
Describe the core features of AgentCore Runtime.
Configure serverless execution with session isolation.
Configure AgentCore Identity for enterprise security requirements.
Create policies to secure agent tool calls using AgentCore Policy.
Implement secure token management and permission delegation.
Ensure compliance with data governance and audit requirements.
Implement different tool integration patterns, including built-in tools and protocol-based tools.
Design and deploy Model Context Protocol (MCP) servers and clients for extensible agent capabilities.
Describe common authentication patterns for agent tool use.
Configure AgentCore Gateway components for secure and authorized tool access.
Implement agentic memory patterns for different use cases.
Configure AgentCore Memory operations for context-aware development.
Optimize memory performance for production workloads.
Configure AgentCore Observability for production monitoring.
Implement Amazon CloudWatch integration and specialized tracing.
Describe the core features of AgentCore Evaluations.
Integrate agentic systems with production APIs and services.
Design deployment strategies for production environments.
Assess production readiness and establish continuous improvement processes