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AWS-AAIF: Agentic AI Foundations

AWS-AAIF: Agentic AI Foundations

AWS-AAIF: Agentic AI Foundations

Tổng quan khóa học

Trong khóa học này, bạn sẽ khám phá các nguyên lý cốt lõi và chiến lược thiết kế các hệ thống AI Agentic sử dụng dịch vụ AWS. Bạn sẽ học cách AI Agentic khác biệt với các hệ thống hội thoại truyền thống, và cách sử dụng các công cụ như Amazon Q, Kiro, Amazon Bedrock Agents, và Amazon Bedrock AgentCore để xây dựng các giải pháp tự động, hướng tới mục tiêu nhằm giải quyết các vấn đề thực tế.

 

Mục tiêu khóa học

  • Tóm tắt sự phát triển của AI Agentic và xác định điều gì làm cho một hệ thống trở thành "agentic"

  • Nhận diện các thành phần cốt lõi của hệ thống agentic

  • Phân biệt giữa tác vụ, các tác nhân tự động và tác nhân lai

  • So sánh các lựa chọn dịch vụ AWS cho AI Agentic

  • Mô tả các khả năng và trường hợp sử dụng của Amazon Q Developer, Amazon Q Business và Kiro

  • Giải thích các nguyên lý cơ bản của Amazon Bedrock AgentCore và Amazon Bedrock Agents

  • Nhận diện các mẫu triển khai cơ bản cho AI Agentic

  • Mô tả các mẫu quan sát và khả năng tương tác cho các hệ thống AI Agentic trong sản xuất

Ai nên tham gia

Khóa học này dành cho:

  • Các nhà phát triển phần mềm mới với AI Agentic cần kiến thức nền tảng
  • Các chuyên gia kỹ thuật tìm hiểu khả năng của AI và quan tâm đến các thành phần cốt lõi và ứng dụng của AI Agentic
  • Các nhóm phát triển đánh giá các giải pháp AI Agentic và cần phân biệt giữa các loại tác nhân
  • Người dùng AWS mở rộng sang AI Agentic, bao gồm những người hiện đang sử dụng Amazon Q Developer, Amazon Q Business và Amazon Bedrock Agents

 

Yêu cầu kiến thức
Chúng tôi khuyến nghị người tham gia khóa học này nên có:

  • Kiến thức cơ bản về Generative AI Essentials hoặc kinh nghiệm làm việc tương đương
  • Kiến thức cơ bản về AWS và kinh nghiệm phát triển phần mềm

Nội dung khóa học

Module 1: From LLMs to Agents

  • Understanding Large Language Models (LLMs)
  • Innovations powering agents
  • Evolution timeline from LLMs to Agents

 

Module 2: Exploring Agentic AI

  • Understanding Agentic AI
  • Types of AI agents
  • Agentic AI applications

 

Module 3: Understanding Agentic AI Workflows

  • Workflow patterns
  • Amazon Bedrock flows overview

 

Module 4: Introducing Autonomous Agents

  • How Autonomous Agents work
  • ReAct and ReWoo
  • Multi-agent collaboration
  • AWS Agentic AI solutions

 

Module 5: Amazon Q and Agentic Development Tools

  • Amazon Q Developer
  • Amazon Q Business
  • Amazon Q in AWS Services
  • Kiro: AI-powered IDE with spec-driven development

 

Module 6: Agentic AI with Amazon Bedrock

  • Amazon Bedrock Agents
  • Amazon Bedrock AgentCore
  • Hands-on lab: Explore Amazon Bedrock Agents integrated with Amazon Bedrock Knowledge Bases and Amazon Bedrock Guardrails

 

Module 7: Building DIY Solutions

  • DIY solutions
  • Observability and Monitoring
  • Agent Interoperability

 

Module 8: Course Wrap-up

  • Next steps and additional resources
  • Course summary 

Lịch khai giảng

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