Fundamentals of AI and ML I

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Introduction

AWS Fundamentals

AWS Core Services

Understanding AWS Compute Services — From Zero to Hero

Working with AWS S3 Cross-Region Replication

Getting Started with Virtual Private Cloud (VPC) in AWS

Fundamentals of AI and ML

AWS Pre-Build Machine Learning Models

Understanding Machine Learning Services on AWS—From Zero to Hero

Accelerate Code Development Using Amazon Q

Amazon SageMaker

Deploying a Machine Learning Model with Amazon SageMaker

Performing Automatic Hyperparameter Tuning in SageMaker

Fundamentals of Generative AI

Amazon Bedrock

Code Development Using Amazon Bedrock

Using Amazon Bedrock for Content Moderation

Retrieval-Augmented Generation (RAG) with Amazon Bedrock

Building a RAG Chatbot Using LangChain and Amazon Bedrock

Building Generative AI Workflows with Amazon Bedrock

AWS Security Services

Securing AWS Resources: Managing Access with IAM

Encrypting S3 Buckets and EBS Volumes Using KMS

Finding Vulnerabilities on EC2 Instances Using AWS Inspector

AWS Analytics Services

Getting Started with Amazon EMR

Getting Started with Amazon Redshift

Automating Data Processing with AWS Glue DataBrew

AWS Databases

Understanding AWS Database Options—From Zero to Hero

Achieving Ultra-Fast Performance Using Amazon MemoryDB for Redis

AWS Management and Governance

Analyzing S3 Data and CloudTrail Logs Using Amazon Athena

Getting to Know Amazon CloudWatch

Getting Started with AWS Config

AWS Billing and Cost Management

Wrapping Up

Practice Exam I - AWS Certified AI Practitioner

Practice Exam I Solution

Practice Exam II - AWS Certified AI Practitioner

Practice Exam II Solution

Fundamentals of AI and ML I

Question 1