AWS Cloud Technology and Services
Master AWS cloud technology with hands-on learning and practical applications in the AWS ecosystem.
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Course Description
Master AWS Cloud Services
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.Explore AWS Compute and Serverless Options
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.Dive into Databases, Networking, and Storage
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.Leverage AI, Machine Learning, and Advanced Analytics
Finally, take your skills to the next level with AWS’s AI and machine learning services. You’ll work with tools like SageMaker, Rekognition, and QuickSight to analyze data, build machine learning models, and deliver actionable insights.Become AWS Cloud-Ready
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.Training 2 or more people?
Get your team access to the full DataCamp platform, including all the features.In the following Tracks
- 1
AWS Compute Services
FreeIn 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 Services50 xpExploring the UI100 xpAmazon Elastic Compute Cloud50 xpSelecting the right instance type50 xpLaunching a Web Server on EC2100 xpLoad Balancing and Auto-scaling50 xpLoad balancing vs Auto-scaling100 xpSetting up a launch template100 xpAuto-scaling your instances100 xpServerless Compute50 xpMastering container services: ECS vs EKS100 xpDeploying a string manipulation Lambda function100 xp - 2
AWS Databases, Networking, and Storage
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 Resources50 xpRDS vs EC250 xpLaunching a NoSQL database100 xpDatabase Migration Services in AWS50 xpIdentifying the correct migration service100 xpSteps for migration100 xpNetwork Services50 xpCreate a VPC100 xpChoose your routing policy50 xpMastering AWS Storage Solutions50 xpOptimizing S3 for dynamic data access patterns100 xpOrganizing your cloud storage100 xp - 3
AWS Machine Learning, AI, Analytics, and Beyond
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 Process50 xpBuilding your first machine learning model in AWS50 xpClassifying AI / ML Services100 xpAnalytics & BI Services50 xpStart an analytics project100 xpData warehousing and analytics50 xpSecondary AWS Service Categories50 xpStreamline code development50 xpCan you build a robotic chatbot?50 xpEnhance communication and messaging100 xpCongratulations50 xpSelf Reflection Questions100 xp
Training 2 or more people?
Get your team access to the full DataCamp platform, including all the features.In the following Tracks
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prerequisites
Introduction to AWS
Rahulraj SinghTechnical Product Manager
Rahul is a seasoned Technical Product Manager with a strong background in software engineering and data science. Passionate about crafting AI-driven solutions, Rahul enjoys creating customer-centric products and solving intricate problems with data.
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