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Master AWS Certified AI Practitioner AIF-C01 Exam/

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Introduction to Amazon Sagemaker

Learn how Amazon SageMaker simplifies the ML life cycle, from data preparation to deployment, enabling effortless innovation for developers and data scientists.

We'll cover the following...

Machine learning pipeline using SageMaker
Automate your ML workflow with SageMaker

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Understanding AWS Compute Services — From Zero to Hero

Working with AWS S3 Cross-Region Replication

Getting Started with Virtual Private Cloud (VPC) in AWS

Understanding Machine Learning Services on AWS—From Zero to Hero

Accelerate Code Development Using Amazon Q

Deploying a Machine Learning Model with Amazon SageMaker

Performing Automatic Hyperparameter Tuning in SageMaker

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

Securing AWS Resources: Managing Access with IAM

Encrypting S3 Buckets and EBS Volumes Using KMS

Finding Vulnerabilities on EC2 Instances Using AWS Inspector

Getting Started with Amazon EMR

Getting Started with Amazon Redshift

Automating Data Processing with AWS Glue DataBrew

Understanding AWS Database Options—From Zero to Hero

Achieving Ultra-Fast Performance Using Amazon MemoryDB for Redis

Analyzing S3 Data and CloudTrail Logs Using Amazon Athena

Getting to Know Amazon CloudWatch

Getting Started with AWS Config

Practice Exam I - AWS Certified AI Practitioner

Practice Exam II - AWS Certified AI Practitioner

Introduction to Amazon Sagemaker