آموزش دوره جامع توسعه‌دهنده حرفه‌ای هوش مصنوعی مولد AWS (AIP-C01) - آخرین آپدیت

سرفصل ها و درس ها

Introduction

• Introduction

Building Production-Grade AWS Generative AI Applications

• Business Scenarios for Production GenAI Applications

• GenAI Production Architecture – 15 Key Architecture Decisions

• Architecture Decision 1 : GenAI Platform Choice - 1. Amazon Bedrock

• Amazon Bedrock Reference Architecture

• Amazon Bedrock Console Walkthrough – Part 1 (Hands-On)

• Amazon Bedrock Console Walkthrough – Part 2 (Hands-On)

• GenAI Platform Choice - 2. SageMaker JumpStart

• Architecture Decision 2: Foundation Model Selection

• Foundation Model Selection (Hands-On)

• Foundation Model Inference Parameters

• Tuning Inference Parameters (Hands-On)

• Architecture Decision 3: Safety, Governance, and Bedrock Guardrails

• Implementing Bedrock Guardrails (Hands-On)

• Amazon Bedrock Automated Reasoning – Policy Enforcement at Scale

• Architecture Decision 4: Prompt Management and Prompt Engineering Techniques

• Amazon Bedrock Prompt Management

• Bedrock Prompt Management (Hands-On)

• Architecture Decision 5: Inference Optimization- Service Tiers & Capacity Plan

• Inference Optimization - Amazon Bedrock Latency & Cross-Region Inferencing

• Inference Optimization - Latency & Cross-Region Inferencing (Hands-on)

• Architecture Decision 6: Cost Optimization - Bedrock Pricing Models

• Cost Optimization - Bedrock Pricing and Cost Analysis (Hands-On)

• Cost Optimization - Amazon Bedrock Prompt Caching

• Cost Optimization - Amazon Bedrock Prompt Caching (Hands-On)

• Cost Optimization - Amazon Bedrock Intelligent Prompt Routing

• Cost Optimization - Amazon Bedrock Intelligent Prompt Routing (Hands-On)

• Bedrock Foundations: Platform, Models, Guardrails & Inference

• Architecture Decision 7: Compute Layer Selection - Option 1 - Amazon EC2

• Architecture Decision 7: Compute Layer Selection - Option 2 - AWS Lambda

• Architecture Decision 7: Compute Layer Selection - Option 3 - Amazon ECS

• Exam Mental Model: Selecting the Compute Layer for GenAI Applications

• Architecture Decision 8: GenAI API Layer - 1. Amazon API Gateway

• Invocation Pattern 1: Synchronous Invocation (API Gateway + Lambda)

• Invocation Pattern 2: Asynchronous Invocation

• Architecture Decision 8: GenAI API Layer - 2. AWS AppSync

• Architecture Decision 8: GenAI API Layer - 3. Application Load Balancer

• Exam Mental Model: Selecting the API Layer for GenAI Applications

• Architecture Decision 9: Amazon Bedrock Observability and Monitoring

• Amazon Bedrock Observability and Monitoring (Hands-On)

• Architecture Decision 10: Amazon Bedrock Model Evaluation

• Amazon Bedrock Model Evaluation (Hands-On)

• Architecture Decision 11: Model Customization - 1. Model Distillation

• Architecture Decision 11: Model Customization(Hands-On)

• Model Customization - 2. Fine Tuning

• Model Customization - 3. Continued Pre-Training

• Model Customization - LoRA

• Mental Model: Model Adaptation & Customization

• Architecture Decisions 12–15: Security, Data & Orchestration

• Bedrock Operations: Monitoring, Evaluation & Model Customization

Retrieval Augmented Generation (RAG) – Architecture and Design Decisions

• Business Use Case for Retrieval Augmented Generation - eLearning Q&A app

• Need for RAG? – Limitations of Pure LLM-Based Architectures

• Core RAG Concepts and Terminology

• 10 Key Architecture Decisions for Production-Ready RAG Apps - eLearning Use Case

• RAG on AWS with Amazon Bedrock - Amazon Bedrock Knowledge Bases Overview

• Building RAG with Bedrock Knowledge Bases (Hands-On)

• RAG Architecture Decision 1: Data Sources and Data Type

• Configuring RAG Data Sources (Hands-On)

• RAG Architecture Decision 2: Chunking Strategies – Trade-offs

• RAG Architecture Decision 3: Selecting Embedding Models

• RAG Architecture Decision 4: Vector Database Selection

• RAG Architecture Decision 5: Retrieval Optimization - Reranking Strategies

• RAG Architecture - Retrieval Optimization - Metadata Filtering

• RAG Architecture Decision 6: LLM Selection for Generation in RAG workloads

• RAG Architecture Decision 7: Monitoring and Observability

• RAG Monitoring (Hands-On)

• RAG Architecture Decision 8: Bedrock Knowledge Bases Evaluation

• RAG Architecture Decisions 9 & 10: Security, Guardrails, and Governance

• Amazon Q Business

• Quiz - Retrieval Augmented Generation

AI Agents and Agentic AI Architectures on AWS

• Limitations of LLM-Based Applications

• What are AI Agents ?

• Agent Planning – Chain of Thought and ReAct

• Agent Planning (Hands-On)

• Agent Tools and Actions – Integrating External Systems

• Agent Tools and Actions (Hands-On)

• Agent Memory

• Agentic AI Frameworks – Overview

• 1. Amazon Bedrock Agents – Architecture and Capabilities Overview

• Amazon Bedrock Agents – Console Walkthrough

• How Amazon Bedrock Agents Work ?

• 2. Strands Agents

• 3. Agent Squad

• Generative AI vs Agentic AI

• Model Context Protocol (MCP)

• Model Context Protocol (MCP) (Hands-On)

• Amazon Bedrock AgentCore - Overview

• Amazon Bedrock AgentCore – Architecture Overview

• GenAI Orchestration Layer – Why Orchestration Matters in GenAI and Agentic AI

• GenAI Orchestration Layer – 1. AWS Step Functions for AI Workflows

• GenAI Orchestration Layer – AWS Step Functions Workflow Patterns for GenAI

• GenAI Orchestration Layer - 2. Amazon Bedrock Flows

• GenAI Orchestration Layer - 2. Amazon Bedrock Flows (Hands-On)

• GenAI Orchestration Layer – Orchestration Service Selection Mental Model

• Quiz - AI Agents

Managing Data for Generative AI Apps with Amazon SageMaker AI and Amazon Bedrock

• Bedrock Data Automation

• Amazon SageMaker Service - Overview

• Amazon SageMaker Data Wrangler

• Amazon SageMaker Feature Store

• Quiz - Data

AI Safety, Responsible AI and Governance

• Responsible AI and AI Safety - Overview

• AWS Responsible AI - Amazon SageMaker Clarify and Amazon SageMaker Studio

• AI-ML Governance - Amazon SageMaker Model Monitor, Model Cards, Model Registry

• AWS ML-Ops - Amazon SageMaker Pipelines and SageMaker Ground Truth

• Amazon Augmented AI - Human in the Loop

• Quiz - Responsible AI

Other AWS AI Services (Non GenAI)

• Mental Model of AWS AI Services

• Amazon Rekognition

• Amazon Rekognition [Hands-On]

• Amazon Lex

• Amazon Lex [Hands-On]

• Amazon Transcribe [with Hands-On]

• Amazon Translate

• Amazon Translate [Hands-On]

• Amazon Comprehend

• Amazon Comprehend [Hands-On]

• Amazon Polly [with Hands-On]

• Quiz - AI Services

AWS Security Services

• Amazon Macie, AWS Private Link and Endpoints

• AWS Identity and Access Management (IAM) - Overview

• AWS IAM [Hands-On]

• AWS Config, AWS CloudTrail and Amazon CloudWatch [with Hands-On]

• Amazon Inspector and AWS Trusted Advisor [with Hands-On]

• AWS Artifact and AWS Audit Manager [with Hands-On]

• Regulatory compliance standards for AI systems

• Generative AI Security Scoping Matrix

• Quiz - 8

AWS Certified Generative AI Developer Professional [AIP-C01] - Practice Tests

• AWS Certified Generative AI Developer Professional [AIP-C01] - Practice Test 1