In this chapter, you'll dive into the core AWS compute services, starting with Amazon EC2 for scalable cloud computing. You'll explore how to optimize instances, use load balancing and auto-scaling to enhance performance, and learn about serverless options like AWS Lambda and Fargate for event-driven applications.

AWS Cloud Technology and Services

Exploring the UI

Amazon Elastic Compute Cloud

Selecting the right instance type

Launching a Web Server on EC2

Load Balancing and Auto-scaling

Options

Load balancing

Auto-scaling

Load balancing vs Auto-scaling

Setting up a launch template

Auto-scaling your instances

Serverless Compute

Amazon ECS

Amazon EKS

Mastering container services: ECS vs EKS

Deploying a string manipulation Lambda function

AWS Compute Services

In this chapter, you'll explore AWS database services like RDS, DynamoDB, and MemoryDB. You'll also learn how to migrate databases to AWS using tools like Database Migration Service and AWS Snow Family. Finally, we’ll cover essential networking services and other storage solutions.

Exploring AWS Database Resources

RDS vs EC2

Launching a NoSQL database

Database Migration Services in AWS

Identifying the correct migration service

Steps for migration

Network Services

Create a VPC

Choose your routing policy

Mastering AWS Storage Solutions

Optimizing S3 for dynamic data access patterns

Organizing your cloud storage

AWS Databases, Networking, and Storage

Begin by delving into pre-trained artificial intelligence services,machine learning frameworks, and analytics tools. Finally, round out your understanding of AWS architecture by learning about various secondary service categories.

AI & ML Services and Machine Learning Process

Building your first machine learning model in AWS

Classifying AI / ML Services

Analytics & BI Services

Start an analytics project

Data warehousing and analytics

Secondary AWS Service Categories

Streamline code development

Can you build a robotic chatbot?

Enhance communication and messaging

Congratulations

Self Reflection Questions

AWS Machine Learning, AI, Analytics, and Beyond

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<h2>Master AWS Cloud Services</h2>
Ready to unlock the full potential of Amazon Web Services (AWS)? This course will guide you through the essential AWS services that businesses rely on to scale their applications, manage data, and optimize infrastructure. Whether you’re a beginner or looking to expand your cloud skills, this course offers a hands-on, interactive journey through AWS’s most powerful tools.
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<h2>Explore AWS Compute and Serverless Options</h2>
Start by mastering the foundations of AWS compute services. Learn how to configure and optimize EC2 instances, manage traffic with load balancers, and take advantage of auto-scaling to ensure your applications are always ready to handle any workload. You’ll also explore serverless options like AWS Lambda, enabling you to focus on building applications without managing servers.
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<h2>Dive into Databases, Networking, and Storage</h2>
In the next chapter, we take a deep dive into AWS’s comprehensive database services. You’ll also explore key networking tools, including Amazon VPC, as well as storage solutions like S3 and EBS.
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<h2>Leverage AI, Machine Learning, and Advanced Analytics</h2>
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<h2>Become AWS Cloud-Ready</h2>
By the end of this course, you’ll have the knowledge and hands-on experience to navigate the AWS cloud confidently. Whether you’re preparing for an AWS certification or looking to enhance your career, you’ll leave this course ready to leverage AWS services for real-world success.

AWS Concepts

Master AWS cloud technology with hands-on learning and practical applications in the AWS ecosystem.

AWS Cloud Technology and Services Concepts

AWS Cloud Practitioner (CLF-C02)

Integrates seamlessly with other AWS services such as Fargate

Works best with microservices-based applications

Ideal for compute-intensive tasks such as machine learning

Mastering container services: ECS vs EKS

AWS Cloud Technology and Services Concepts

Hands-on interactive exercise