
This course contains the use of artificial intelligence.
Mastering AWS compute operations is essential for running reliable, scalable, and cost-effective cloud workloads. This comprehensive training gives you hands-on experience in selecting instance types, configuring Elastic Load Balancing, managing Auto Scaling groups, and applying AWS architectural best practices.
Who this course is for:
Cloud Engineers looking to deepen their operational AWS skills
DevOps Practitioners managing EC2 infrastructure at scale
AWS Solutions Architects designing compute-heavy architectures
System Administrators transitioning from on-premises servers to AWS
What you will learn:
Analyze workload demands to choose optimal EC2 instance types
Implement cost-saving strategies using Spot Instances and Savings Plans
Configure Application Load Balancers for high availability
Set up dynamic and predictive EC2 Auto Scaling policies
Troubleshoot failed scaling events and target group health checks
Apply the AWS Well-Architected Framework compute principles
Automate instance setup using launch templates and user data scripts
Monitor compute metrics using Amazon CloudWatch alarms
Requirements:
Basic understanding of cloud computing concepts
An active AWS Free Tier account for hands-on exercises
Final Project: You will design and deploy a complete fault-tolerant web application architecture. This includes placing an Application Load Balancer in public subnets, attaching an Auto Scaling group spread across two Availability Zones, configuring custom metric alarms, and executing a simulated load stress test to verify real-time automated scaling and recovery.